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Goalscorer Predictions Yesterday – Results, Accuracy & Match Review
Review yesterday's goalscorer predictions on Betiball and compare each player's original scoring probability with what actually happened during the match. The historical view shows the predicted scorer, starting status, minutes played, final score and whether the player found the net during the relevant match period.
Use the completed fixtures below to review player-level results or explore all football predictions from yesterday, yesterday's goal-total results, Goalscorer predictions today, Goalscorer predictions tomorrow and all Goalscorer predictions.
score
goals
English Premier League
16℃～17℃
France Ligue 1
15℃～16℃
J-League Division 1
27℃～28℃
27℃～28℃
Primera Division de Mexico
18℃～19℃
23℃～24℃
21℃～22℃
21℃～22℃
Primera Division de Colombiano-Apertura
30℃～31℃
Swedish Allsvenskan
14℃～15℃
Turkish Super Liga
25℃～26℃
Belgian Pro League
15℃～16℃
Primera Division de Honduras
25°C
Costa Rica Primera Division
29℃～30℃
Welsh Premier League
12℃～13℃
12℃～13℃
12℃～13℃
12℃～13℃
12℃～13℃
12℃～13℃
12℃～13℃
Saudi Professional League
39°C
40°C
34°C
35°C
Croatia 1.Division
27°C
Bosnia and Herzegovina Premier League
31℃～32℃
Estonia Champions League
17°C
Latvian Higher League
20°C
22°C
Northern Ireland Premier League
11℃～12℃
14°C
Austrian Bundesliga
19℃～20℃
Primera Division de Chile
20℃～21℃
Ireland Premier Division
12℃～13℃
12℃～13℃
12℃～13℃
11℃～12℃
Slovenia 1.Liga
27°C
20℃～21℃
Romania Liga I
31℃～32℃
Argentine Division 1
12℃～13℃
9℃～10℃
UAE Pro-League
37℃～38℃
36℃～37℃
Belarusian Premier League
22℃～23℃
Bolivia Primera Division
11℃～12℃
11℃～12℃
Swiss Challenge League
14℃～15℃
14℃～15℃
13℃～14℃
Egyptian Premier League
36°C
33°C
27°C
Germany Cup
19°C
19°C
16℃～17℃
Poland Ekstraklasa
19℃～20℃
Georgia Primera Division
32°C
Hungary Borsodi Liga
33℃～34℃
Portugal Segunda Liga
25°C
Spanish Segunda Division
27℃～28℃
Italian Serie B
18℃～19℃
France Ligue 2
19℃～20℃
19℃～20℃
19℃～20℃
17℃～18℃
13℃～14℃
Holland Jupiler League
14℃～15℃
16℃～17℃
14℃～15℃
13℃～14℃
15℃～16℃
13℃～14℃
Peru Primera Division
21°C
34°C
Poland Liga 1
19°C
Bulgaria Premier League
22℃～23℃
Primera Division de Paraguay
18°C
Primera Division de Ecuador
19°C
17℃～18℃
Primera Division de Venezuela
29°C
27℃～28℃
Turkey 2 Ligi A
25°C
Uruguay Primera Division
9°C
9°C
OFC Champions League
Argentine Division 2
16℃～17℃
16℃～17℃
15℃～16℃
Belgian Second Division
13℃～14℃
13℃～14℃
Saudi Arabia Division 1
38°C
38°C
36°C
Danish 1st Division
19°C
14℃～15℃
18°C
Norway NM Cupen
Finland Ykkonen
16℃～17℃
16℃～17℃
Finland Veikkausliga
16℃～17℃
Uzbek League
32°C
30°C
Liga Super Malaysia
29°C
Hong Kong Premier League
28℃～29℃
Ukraine Cup
32°C
Yesterday's Goalscorer Prediction Results
This page provides a historical record of completed player scoring predictions rather than forecasts for upcoming fixtures. Each settled prediction should preserve the player probability published before kick-off and compare it with the player's actual involvement and scoring result.
A simple Scored or Did Not Score label is useful, but it becomes considerably more informative when combined with starting status, playing time and the original probability.
| Historical Field | What It Shows |
|---|---|
| Player | The footballer included in the original forecast |
| Scoring Probability | The pre-match estimated chance of scoring |
| Starting Status | Whether the player started or was named as a substitute |
| Minutes Played | The player's actual time on the pitch |
| Goals | Number of recognised goals scored |
| Prediction Result | Scored or Did Not Score |
Predicted Scorer vs Actual Scoring Outcome
The central historical comparison is straightforward: did the player identified before kick-off score during the defined match period?
Successful prediction
If a predicted player scores at least one qualifying goal, an Anytime Goalscorer prediction can be recorded as successful under the relevant definition.
Unsuccessful prediction
If the player participates but does not score, the prediction is unsuccessful.
Player does not participate
This situation should be identified separately rather than automatically grouped with ordinary unsuccessful predictions. Historical model analysis needs to distinguish a football prediction miss from a player who never entered the match.
Starting Status Is Essential to Historical Player Analysis
Player-level predictions carry a selection risk that team-level markets do not have to the same extent. A player expected to start may ultimately begin on the bench or miss the fixture completely.
| Player Status | Historical Interpretation |
|---|---|
| Started | Full opportunity subject to substitution |
| Substitute used | Reduced scoring window |
| Unused substitute | No match participation |
| Not in squad | No match participation |
Betiball should retain this distinction when measuring historical goalscorer performance.
Minutes Played Add Context to Every Result
A player who completes 90 minutes receives a much larger scoring window than one introduced in the 82nd minute.
Both can finish without scoring, but those outcomes should not be treated as equivalent evidence when evaluating a player probability model.
Long exposure
A regular starter playing most of the match gives the forecast close to the expected opportunity window.
Early substitution
An injury or tactical substitution can substantially reduce the opportunity available after the prediction was produced.
Late substitute
A player receiving only a few minutes has limited time in which to convert the forecast into a scoring event.
Expected Minutes and Actual Minutes Should Be Compared
If Betiball estimates playing time before kick-off, historical results can audit that assumption separately from the player's scoring ability.
| Field | Example |
|---|---|
| Expected Minutes | 84 |
| Actual Minutes | 62 |
| Difference | -22 minutes |
The example demonstrates presentation only. Production data should come from Betiball's actual pre-match forecast and match record.
Scoring Probability Should Remain Visible After Full-Time
A historical result should preserve the probability originally assigned to the player rather than replace it with a retrospective explanation.
Consider two unsuccessful predictions:
| Original Forecast | Actual Result | Historical Context |
|---|---|---|
| Player A – 68% | No goal | A relatively strong player forecast missed |
| Player B – 28% | No goal | The model already regarded a goal as less likely |
Both players failed to score, but the model expressed very different levels of expectation.
A Player Can Score More Than Once
For an Anytime Goalscorer result, one qualifying goal is normally sufficient to satisfy the scoring event being analysed. Historical data should still preserve the actual goal count because a brace or hat-trick provides additional performance context.
| Goals Scored | Anytime Scorer Result |
|---|---|
| 0 | Did Not Score |
| 1 | Scored |
| 2 | Scored |
| 3+ | Scored |
Goal Minute Adds Useful Historical Context
Where reliable event data is available, the minute of the player's goal can help explain how much of the match had elapsed before the prediction was realised.
Early goal
A player scoring early satisfies an Anytime Goalscorer forecast quickly, although the goal minute does not make the original probability more or less correct retrospectively.
Late goal
A goal near the end of the match shows how long an unsuccessful-looking forecast can remain live before settlement.
Multiple goals
All recognised goals can be retained in the match record even though the first qualifying goal is sufficient for the binary scorer result.
Anytime Goalscorer and First Goalscorer Results Must Be Separated
A player can satisfy an Anytime Goalscorer forecast without scoring the first goal of the match.
| Player Event | Anytime Scorer | First Goalscorer |
|---|---|---|
| Scores first goal | Yes | Yes |
| Scores second goal | Yes | No |
| Scores late consolation | Yes | No |
| Does not score | No | No |
Betiball should therefore avoid combining Anytime and First Goalscorer performance into one historical accuracy figure.
First Scorer Probability Should Remain a Separate Metric
If Betiball also generates First Goalscorer probabilities, these should be recorded separately from Anytime Scorer probabilities.
The first-goal event is narrower because the player not only has to score but must do so before every other eligible scorer in the fixture.
A player might therefore carry a relatively strong Anytime probability but a much lower First Goalscorer probability.
Expected Goals Can Help Explain Player Performance
Where player expected-goals data is available, it can add context to yesterday's result without replacing the actual scoring outcome.
Player scores from strong chances
The goal is supported by meaningful attacking opportunities.
Player does not score despite high xG
The forecast may have been supported by strong chance creation even though the opportunities were not converted.
Player scores despite low xG
A difficult or low-frequency chance can still result in a goal.
Historical evaluation should use these signals over large samples rather than judging the quality of one prediction solely from whether the shot went in.
Non-Penalty xG Helps Separate Open-Play Threat
Penalty takers receive an additional scoring route that other players do not necessarily have. Keeping non-penalty expected goals separate can help distinguish open-play and set-piece attacking threat from penalty opportunities.
Player with penalty responsibility
The scoring forecast can include the possibility of a spot kick while retaining a separate view of non-penalty chance quality.
Player without penalty responsibility
The forecast depends more heavily on open play, direct free-kicks or other set-piece opportunities.
Penalty Goals Should Be Recorded Clearly
A valid penalty goal is still a goal for the player's match record. Historical data can nevertheless label the scoring method because it helps explain how the prediction was realised.
| Goal Type | Historical Value |
|---|---|
| Open Play | Shows scoring from normal attacking play |
| Penalty | Shows scoring from a spot kick |
| Direct Free-Kick | Shows a direct set-piece goal |
| Other Set Piece | Provides additional goal-source context |
Actual Shots Add More Detail Than the Goal Result Alone
A forward finishing without a goal after six attempts has a different historical performance profile from one who never manages a shot.
Where available, Betiball can retain:
- Shots
- Shots on target
- Big chances
- Expected goals
- Touches in the penalty area
These metrics should support the historical result rather than replace the simple fact of whether the player scored.
Shots on Target Can Help Diagnose Missed Scorer Predictions
Shots on target show whether the player forced the goalkeeper or produced an effort that would otherwise enter the goal.
No goal and no shot on target
The predicted scorer may have struggled to generate meaningful finishing opportunities.
No goal with several shots on target
The player was involved in dangerous finishing situations but did not convert.
Goal from one shot on target
The result is successful even if the player generated little overall shot volume.
Starting Position Can Explain Changes in Scoring Threat
A footballer's role on the pitch can differ from the position expected when the prediction was produced.
Centre-forward
A central role may provide more penalty-area opportunities for certain players.
Wide forward
Scoring involvement can depend on whether the player attacks central spaces or remains wider.
Attacking midfield
Late runs and second-line positioning create a different opportunity profile from playing as the main striker.
Unexpected deeper role
A player used further from goal may receive fewer scoring opportunities than the pre-match expectation assumed.
Team Goal Total Does Not Tell Us Which Player Scored
A match can produce several goals while the highest-rated goalscorer candidate remains scoreless.
| Team Goals | Predicted Player Goals | Player Prediction |
|---|---|---|
| 4 | 0 | Did Not Score |
| 1 | 1 | Scored |
| 0 | 0 | Did Not Score |
For the separate match scoring environment, review Under/Over 2.5 Predictions Yesterday.
BTTS Results Also Do Not Identify the Scorer
Both Teams to Score records whether each side found the net. It does not say which players were responsible.
A fixture can finish BTTS Yes while every predicted player fails to score because the goals came from different team-mates.
Review that team-level result separately at BTTS Predictions Yesterday.
Final Match Result and Player Scoring Result Are Independent
A player can score in a defeat, fail to score in a comfortable win or score the only goal of a drawn match.
| Final Score | Predicted Player | Player Scored? |
|---|---|---|
| 1-3 | Home striker | Yes |
| 4-0 | Home striker | No |
| 1-1 | Away striker | Yes |
For the standard match-result audit, see 1X2 Predictions Yesterday.
Multiple Predicted Scorers from One Match Need Separate Records
Betiball may rate more than one player in the same fixture. Each player should be treated as an individual prediction rather than recording the whole match as one successful result when any one candidate scores.
Player A scores
Player A's prediction is successful.
Player B does not score
Player B's prediction remains unsuccessful even though another recommended player in the same fixture scored.
This preserves player-level accuracy and avoids inflating performance through match-level aggregation.
Accuracy Should Be Measured Per Player Prediction
Historical goalscorer accuracy should normally use individual eligible player forecasts as observations.
| Metric | Meaning |
|---|---|
| Eligible Player Predictions | Players whose forecasts meet the stated settlement rules |
| Scored | Predicted players who scored |
| Did Not Score | Eligible predicted players who did not score |
| Did Not Play | Players requiring separate treatment |
Players Who Did Not Play Should Not Distort Model Accuracy
If a player never enters the pitch, the model has not received the playing opportunity assumed by a normal scorer forecast.
Betiball should define a transparent settlement methodology for these cases and keep them distinguishable in its analytical dataset.
Did Not Play
The player receives zero match minutes.
Late substitute
The player participates but receives a substantially reduced opportunity window.
These two cases should not automatically be grouped together.
Accuracy by Starting Status Can Reveal Selection Risk
Historical performance can be segmented according to whether player selection was known before the forecast was finalised.
| Group | Useful Measure |
|---|---|
| Confirmed starters | Scoring rate and calibration |
| Expected starters before line-up | Selection accuracy and scorer accuracy |
| Substitutes | Performance by actual minutes played |
This can show whether uncertainty around team selection is materially affecting player prediction performance.
Accuracy by Playing-Time Band Adds More Context
Player scoring results can also be grouped by actual minutes played.
| Minutes Played | Historical Use |
|---|---|
| 0 | Did not participate |
| 1-30 | Limited opportunity |
| 31-60 | Partial match exposure |
| 61-80 | Substantial exposure |
| 81+ | Near-full match exposure |
Probability Bands Can Test Goalscorer Calibration
One of the most useful historical analyses is to group player forecasts by their original scoring probability.
| Scoring Probability | Historical Purpose |
|---|---|
| 15% to 24% | Lower-probability scorer group |
| 25% to 34% | Moderate scorer group |
| 35% to 44% | Strong player scoring probability |
| 45%+ | Highest-probability player group |
The precise bands can be adjusted to Betiball's actual probability distribution. The important test is whether players assigned higher probabilities score more frequently over large samples.
Goalscorer Calibration Is More Useful Than a Simple Hit Rate
Player scoring is naturally a lower-frequency event than many team-level outcomes, so a raw percentage of successful picks does not tell the full story.
If players assigned approximately 40% scoring probability actually score around four times in ten across a sufficiently large comparable sample, the probability scale is behaving much more meaningfully than a system that simply maximises headline hit rate.
Historical calibration should exclude or separately identify predictions where the player did not receive the playing opportunity assumed by the forecast.
Position-Level Performance Can Reveal Model Differences
Goalscorer forecasts can behave differently across football positions.
Centre-forwards
Often receive a concentrated share of central scoring opportunities.
Wide forwards
Scoring probability can vary considerably according to tactical role.
Attacking midfielders
May depend more heavily on late penalty-area arrivals and shooting opportunities from deeper positions.
Defenders
Often derive a larger share of scoring threat from corners and indirect set pieces.
Betiball can report historical scoring performance by position where sample size is sufficient.
Penalty Takers Should Be Audited Separately
Penalty responsibility can materially increase an individual player's path to goal.
Historical results can therefore compare predictions involving established penalty takers with those involving players who depend primarily on open-play opportunities.
Penalty taker scored from the spot
The player prediction succeeds and the goal source can be recorded.
Penalty taker had no penalty opportunity
The player still receives whatever open-play opportunities occurred.
Penalty hierarchy changed
If another player takes the penalty, Betiball can use that information when reviewing whether the pre-match role assumption was accurate.
Opponent Defensive Strength Can Be Audited After the Match
The pre-match forecast may have incorporated the opposition's ability to restrict chances. Historical results can compare that expectation with the player's actual opportunities without rewriting the original model.
Opponent allows few chances
The predicted player may finish with limited shot volume.
Opponent concedes many chances but player does not score
The forecast may still have identified the attacking environment reasonably while the individual finishing outcome differed.
Unexpected defensive performance
Match-level tactical changes can materially affect the opportunities received by the predicted scorer.
One Day Is Too Small to Judge a Goalscorer Model
Yesterday's results are useful for transparency, but individual player goals contain considerable short-term variance.
A player can hit the post, miss a penalty, have a goal disallowed or generate several strong chances without scoring. Another can convert a single difficult attempt.
Daily results should therefore be paired with larger historical samples.
7-day results
Useful for monitoring recent model behaviour.
30-day results
Provides a broader sample of players, teams and competitions.
90-day results
Can provide stronger evidence of probability calibration where methodology remains comparable.
League-Level Player Results Can Reveal Different Scoring Environments
Scoring frequency, tactical styles and competitive balance differ between football competitions.
Historical goalscorer results can therefore be analysed by league where enough eligible player predictions exist.
Average player scoring probability
This provides context for the model's overall confidence within the competition.
Actual scoring frequency
This can be compared with the probability distribution rather than a global football baseline.
Position mix
Different competitions can also have different distributions of player roles among Betiball's leading candidates.
The Historical Prediction Should Not Change After the Match
Once the result is known, Betiball should add the actual player outcome rather than recalculate the original scoring probability using information that became available later.
Keep the original player probability
This preserves what users could have seen before kick-off.
Keep the predicted player
An unsuccessful scorer prediction should remain visible.
Add starting status separately
The confirmed line-up belongs to the historical event record.
Add minutes played separately
This describes the opportunity the player actually received.
Add goals and goal minutes
These provide the final settlement information.
Prediction Revisions Should Remain Auditable
A player forecast can change significantly once the starting line-up is confirmed.
If Betiball stores multiple forecast versions, the final valid pre-match prediction can be used for headline historical analysis while earlier versions remain available for deeper auditing.
This can help identify whether model improvement came from player performance modelling or simply from better information about who would start.
Own Goals Need Clear Treatment
A historical goalscorer system should distinguish an officially attributed player goal from an own goal.
The official match record should determine who receives credit for a goal rather than assigning it from the player who made the final attacking contact when the event is officially recorded as an own goal.
Betiball should follow the goal attribution supplied by its trusted match-data source and apply the same rule consistently across historical results.
Disallowed Goals Should Not Be Recorded as Successful Predictions
An effort that enters the net but is subsequently disallowed does not become a recognised goal for the official match score.
It can remain useful event-level context, but it should not convert an Anytime Goalscorer prediction into a successful result.
Under IFAB Law 10, a goal is recognised when the whole ball passes over the goal line between the posts and under the crossbar, provided no offence by the scoring team prevents the goal from being awarded.:contentReference[oaicite:0]{index=0}
Extra Time Requires a Clear Goalscorer Period
Knockout fixtures can continue beyond the normal match period. Betiball should therefore state whether a Goalscorer prediction refers only to regulation time or another defined period.
The same rule used before kick-off must also be used when the prediction is reviewed historically.
A goal scored in extra time should not silently convert a regulation-time goalscorer prediction into a successful result if extra time was not included in the original definition.
Postponed and Abandoned Matches Need Separate Status
Not every fixture listed yesterday necessarily provides an ordinary player settlement.
Postponed
A player never receives the expected playing opportunity.
Cancelled
The scorer prediction should remain outside ordinary historical result calculations.
Abandoned
Betiball should apply a clearly stated methodology rather than automatically treating every player who had not scored at abandonment as an unsuccessful forecast.
Suspended
A match expected to resume should remain distinguishable from a completed event.
IFAB Law 7 states that an abandoned match is replayed unless competition rules or organisers determine otherwise, reinforcing the need to keep abandoned fixtures separate from standard completed results.:contentReference[oaicite:1]{index=1}
Browse Goalscorer Predictions Across Matchdays
Review Other Football Prediction Results from Yesterday
| Prediction Market | Historical Review |
|---|---|
| 1X2 | Home, Draw and Away results |
| Live 1X2 | Historical in-play probabilities and results |
| Under/Over 2.5 | Total-goal prediction results |
| Half Time | First-half prediction results |
| Half Time/Full Time | HT/FT match-path results |
| BTTS | Both Teams to Score results |
| Double Chance | 1X, X2 and 12 results |
| Asian Handicap | Historical handicap settlements |
| Corners | Corner prediction results |
| Cards | Card prediction results |
How Yesterday's Goalscorer Performance Should Be Reported
A trustworthy historical player record should apply one consistent methodology across every fixture and competition.
Include every eligible player prediction
Do not calculate headline performance only from successful scorers or selected high-confidence players.
Preserve original probabilities
The value should represent the model estimate available before kick-off.
Keep non-scorers visible
Unsuccessful predictions are necessary for meaningful historical evaluation.
Identify non-participants
Players who did not enter the match should be distinguishable from players who received meaningful minutes and failed to score.
Record actual playing time
Minutes provide essential context around the opportunity available to each player.
Separate Anytime and First Goalscorer
These events should not share one accuracy calculation.
Display sample size
Every performance percentage should state the number of eligible player predictions used to calculate it.
Common Questions About Yesterday's Goalscorer Predictions
What is an Anytime Goalscorer prediction?
It estimates whether a particular player will score at least one qualifying goal during the defined match period.
Does a player need to score first?
No. An Anytime Goalscorer can score at any eligible point during the relevant period.
What is a First Goalscorer prediction?
It requires the player to score the first qualifying goal of the match.
Can a substitute satisfy an Anytime Goalscorer prediction?
Yes, if the player enters the match and scores during the relevant period under the applicable prediction rules.
What if the predicted player does not play?
Betiball should identify this separately and apply a clearly published settlement methodology rather than treating every non-participant as an ordinary scoring miss.
Does a penalty goal count?
A recognised penalty goal is part of the player's official goal record. Betiball can label the goal type separately for historical analysis.
Does an own goal count for the predicted attacker?
The official attribution should be followed. If the goal is recorded as an own goal, it should not be credited as a normal scorer goal to another player.
Does a disallowed goal count?
No. An effort that is not officially recognised as a goal should not satisfy the historical scorer result.
Can a player have a strong prediction and still fail to score?
Yes. Probability represents likelihood rather than certainty.
Why are minutes played important?
A player's chance of scoring depends partly on how much time is spent on the pitch. A late substitute receives a much smaller scoring window than a full-match starter.
Should extra-time goals count?
Only when the original prediction explicitly includes extra time within its defined scoring period.
Where can I find today's player forecasts?
Visit Goalscorer Predictions Today.
Officially Recognised Goals Determine the Historical Result
A historical scorer result must be based on a recognised football goal rather than an unofficial attempt or an effort subsequently disallowed.
Under IFAB Law 10, a goal is scored when the whole ball crosses the goal line between the posts and beneath the crossbar, provided the scoring team has not committed an offence that prevents the goal from being awarded.:contentReference[oaicite:2]{index=2}
For the official framework, see IFAB Law 10 – Determining the Outcome of a Match.
Betiball should use the official scorer attribution supplied by its trusted match-data source when recording yesterday's player results.
Historical Goalscorer Results Do Not Guarantee Future Goals
Betiball provides statistical football analysis and player scoring probability estimates rather than guaranteed outcomes. Yesterday's results can help users review player-level model performance, but previous accuracy cannot determine which footballer will score in a future fixture.
Learn more about Betiball through About Us, FAQ, Terms of Use, Privacy Policy, Avoid Scam and Contact Us.
If you choose to gamble, only do so where legal and if you meet the applicable age requirements. Historical player prediction performance should never be treated as certainty or a guarantee of future results. See Responsible Gaming for further information.
