Soccer predictions: actual data vs predicted data

Slate 20260620 · 4 match(es)
How to read this report. Each match shows the model's headline prediction, the stage-by-stage lambda (goal-rate) build, both teams' standing/form inputs, and every starter's projected line next to their real season baseline. A moderate / large deviation badge flags a projection that strays far from the player's season form — a quick way to spot when the inputs look right but a projection does not. When the real result is known an actual-vs-predicted banner appears.

All matches overview

MatchScoreWinnerH / D / AO2.5BTTSConfλ H/AActualResult
Germany vs Côte d'Ivoire
FIFA World Cup
3-0Draw88.1% / 8.0% / 3.9%79.5%49.1%0.923.54 / 0.70-pending
Ecuador vs Curaçao
FIFA World Cup
1-1Draw46.2% / 26.5% / 27.3%45.6%49.8%0.731.45 / 1.05-pending
Tunisia vs Japan
FIFA World Cup
1-1Draw33.5% / 30.3% / 36.2%34.8%42.2%0.71.02 / 1.07-pending
Netherlands vs Sweden
FIFA World Cup
1-1Draw50.9% / 24.8% / 24.3%50.2%52.4%0.751.63 / 1.05-pending

Match detail

Germany vs Côte d'Ivoire

FIFA World Cup · 20260620 · 4-2-3-1 vs 4-4-2
Predicted 3-0Winner: DrawConfidence 0.92λ home/away 3.54 / 0.70Most-likely P 10.6%
Actual vs predicted: result not available yet (upcoming fixture).

Lambda decomposition (how the goal rates were built)

StageGermany λCôte d'Ivoire λ
Pre-calibration3.5390.705
Final λ3.5390.705
competition calibration scale 1.0competition observed total goals 0.0quality gap applied Truemismatch score pressure applied Falsecompetitive underdog floor applied Falsestage discount 1.0

Scoreline distribution & markets

Top 5 scorelinesP
3-010.6%
4-09.4%
2-09.0%
3-17.5%
5-06.7%
Home win88.1%
Draw8.0%
Away win3.9%
Over 2.579.5%
BTTS yes49.1%
Pregame fair line — favorite Germany (88.1%), fair total 4.24, fair spread 2.83

Projected players vs season baseline

Proj = projected for this match · Season = this season's per-game average from match data · deviation badge compares projected xG to the player's season xG/game.

Germany — projected line vs season baseline (4-2-3-1)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Kai HavertzF7620.780.23243%21.090.344.316
Jamal MusialaM6400.270.1765%21.495.852.414
Leroy SanéM8710.720.14424%21.188.546.610
Aleksandar PavlovićM8800.340.11200%10.686.751.014
Felix NmechaM6900.270.10172%31.490.250.67
Nathaniel BrownD7400.430.07551%20.584.642.88
Nico SchlotterbeckD9100.390.08379%20.393.451.49
Jonathan TahD7600.040.00666%00.194.158.614
Joshua KimmichM8500.060.06ok00.697.251.916
Florian WirtzM8500.190.17ok31.396.642.515
Manuel NeuerG8800.00-n/a00.090.546.012
Team totals33.541891.6

Côte d'Ivoire — projected line vs season baseline (4-4-2)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Franck KessiéM8200.000.11100%10.787.271.06
Seko FofanaM7400.110.0757%11.083.848.611
Amad DialloM5200.090.13ok21.295.246.911
Ghislain KonanD8900.030.04ok10.979.158.37
Emmanuel AgbadouD8600.010.02ok00.586.561.68
Wilfried SingoD8700.030.03ok10.687.544.79
Guéla DouéD9000.000.02100%00.184.468.77
Yahia FofanaG9000.00-n/a00.082.567.97
Yan DiomandeF9200.060.07ok20.674.035.914
Nicolas PépéF7700.100.10ok10.986.739.113
Elye WahiF5900.230.1465%21.981.557.97
Team totals00.701184.4
Antagonist / tactical summary
Home midfield dominates with ~53% possession expected (Jamal Musiala vs Amad Diallo). Total antagonist xG — Home: 2.23, Away: 0.59. Home danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle. Away danger zone: Left Mid vs Right Back — Wide Channel.
Midfield — possession 53.4% / 46.6%, dominance ratio 0.59, key duel: Jamal Musiala vs Amad Diallo
Jamal Musiala xG 0.34Leroy Sané xG 0.66Florian Wirtz xG 0.20Yan Diomande xG 0.11Seko Fofana xG 0.20Nicolas Pépé xG 0.19

Summary

Antagonist matchup analysis for Germany vs Côte d'Ivoire. Most likely scoreline: 3-0. Lambdas derived from 5 home and 4 away individual player duels.
4-2-3-1 creates structural superiority against 4-4-2. Home team should exploit wider spaces and numerical advantages in transition. Home midfield dominates with ~53% possession expected (Jamal Musiala vs Amad Diallo). Total antagonist xG — Home: 2.23, Away: 0.59. Home danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle. Away danger zone: Left Mid vs Right Back — Wide Channel.

Ecuador vs Curaçao

FIFA World Cup · 20260620 · 4-4-2 vs 4-3-3
Predicted 1-1Winner: DrawConfidence 0.73λ home/away 1.45 / 1.05Most-likely P 12.6%
Actual vs predicted: result not available yet (upcoming fixture).

Lambda decomposition (how the goal rates were built)

StageEcuador λCuraçao λ
Pre-mismatch1.3190.677
Pre-competitive-floor1.4500.658
Pre-calibration1.3190.677
Final λ1.4501.050
competition calibration scale 1.0competition observed total goals 0.0quality gap applied Truemismatch score pressure applied Truecompetitive underdog floor applied Truestage discount 1.0

Scoreline distribution & markets

Top 5 scorelinesP
1-112.6%
1-011.8%
2-19.1%
2-08.6%
0-18.5%
Home win46.2%
Draw26.5%
Away win27.3%
Over 2.545.6%
BTTS yes49.8%
Pregame fair line — favorite Ecuador (46.2%), fair total 2.50, fair spread 0.40

Projected players vs season baseline

Proj = projected for this match · Season = this season's per-game average from match data · deviation badge compares projected xG to the player's season xG/game.

Ecuador — projected line vs season baseline (4-4-2)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Hernán GalíndezG8900.00-n/a00.080.949.97
Pedro ViteM9000.080.02306%20.593.271.711
Gonzalo PlataM9000.100.11ok20.888.930.114
Alan FrancoM6600.00-n/a10.085.035.715
Moisés CaicedoM9200.030.0255%10.594.152.811
John YeboahF6300.140.06110%21.176.640.17
Piero HincapiéD9010.280.05467%10.589.753.114
Joel OrdóñezD9000.450.031712%10.282.059.58
Willian PachoD9200.000.01100%00.192.868.010
Ángelo PreciadoM4000.00-n/a00.081.217.215
Enner ValenciaF7500.100.3470%12.282.667.09
Team totals11.451186.1

Curaçao — projected line vs season baseline (4-3-3)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Juninho BacunaM8700.050.07ok11.575.867.56
Leandro BacunaM8900.240.1387%22.086.466.33
Livano ComenenciaD6900.100.03183%10.769.039.17
Deveron FonvilleD8900.190.03615%00.287.465.05
Riechedly BazoerD8400.000.00100%00.279.440.56
Armando ObispoD9000.00-n/a00.078.838.45
Sherel Constancio FloranusD8900.000.03100%00.587.466.54
Eloy RoomG8900.00-n/a00.087.072.03
Tahith ChongM8300.070.0481%21.377.566.33
Jürgen LocadiaF6510.300.04730%20.385.664.73
Jeremy AntonisseM5800.070.01860%00.188.829.07
Team totals11.05882.1
Antagonist / tactical summary
Home midfield dominates with ~51% possession expected (Moisés Caicedo vs Tahith Chong). Total antagonist xG — Home: 0.24, Away: 0.60. Home danger zone: CM vs CDM + CM. Away danger zone: Left Wing vs Right Back — Flank Battle.
Midfield — possession 51.1% / 48.9%, dominance ratio 0.58, key duel: Moisés Caicedo vs Tahith Chong
John Yeboah xG 0.06Pedro Vite xG 0.04Gonzalo Plata xG 0.05Jürgen Locadia xG 0.21Riechedly Bazoer xG 0.16Tahith Chong xG 0.03

Summary

Antagonist matchup analysis for Ecuador vs Curaçao. Most likely scoreline: 1-1. Lambdas derived from 4 home and 5 away individual player duels.
Tactical parity between 4-4-2 and 4-3-3. Match outcome driven primarily by individual player quality. Home midfield dominates with ~51% possession expected (Moisés Caicedo vs Tahith Chong). Total antagonist xG — Home: 0.24, Away: 0.60. Home danger zone: CM vs CDM + CM. Away danger zone: Left Wing vs Right Back — Flank Battle.

Tunisia vs Japan

FIFA World Cup · 20260620 · 4-2-3-1 vs 3-5-2
Predicted 1-1Winner: DrawConfidence 0.7λ home/away 1.02 / 1.07Most-likely P 13.6%
Actual vs predicted: result not available yet (upcoming fixture).

Lambda decomposition (how the goal rates were built)

StageTunisia λJapan λ
Pre-competitive-floor0.7281.073
Pre-calibration0.7281.073
Final λ1.0201.073
competition calibration scale 1.0competition observed total goals 0.0quality gap applied Truemismatch score pressure applied Falsecompetitive underdog floor applied Truestage discount 1.0

Scoreline distribution & markets

Top 5 scorelinesP
1-113.6%
0-113.1%
0-012.5%
1-012.4%
1-27.2%
Home win33.5%
Draw30.3%
Away win36.2%
Over 2.534.8%
BTTS yes42.2%

Projected players vs season baseline

Proj = projected for this match · Season = this season's per-game average from match data · deviation badge compares projected xG to the player's season xG/game.

Tunisia — projected line vs season baseline (4-2-3-1)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Aymen DahmenG900--n/a0.090.742.73
Montassar TalbiD9000.030.04ok00.480.166.25
Ali AbdiD5800.180.1081%11.082.456.68
Yan ValeryD8800.050.04ok10.277.656.28
Adem ArousD8800.030.00566%00.289.733.86
Hannibal MejbriM7900.040.05ok21.092.059.67
Sebastian TounektiM7300.030.01437%20.275.438.310
Ellyes SkhiriM8900.010.01ok10.186.756.77
Ismael GharbiM9000.070.0546%20.679.738.65
Elias AchouriM9000.080.03152%11.078.743.33
Elias SaadF9010.110.01977%20.378.742.73
Team totals11.021582.9

Japan — projected line vs season baseline (3-5-2)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Zion SuzukiG940--n/a0.081.743.510
Hiroki ItōD7600.020.01365%00.285.239.212
Tsuyoshi WatanabeD9000.030.01472%10.282.440.25
Ko ItakuraD9000.01-n/a00.084.738.26
Takefusa KuboM7400.070.011220%20.288.611.811
Kaishu SanoM9500.050.06ok20.986.460.77
Yuito SuzukiM8400.130.0870%10.877.949.210
Ritsu DoanM8900.140.03462%10.788.655.67
Daichi KamadaM7400.070.10ok10.584.045.812
Ayase UedaF8900.170.18ok22.281.071.05
Daizen MaedaF9110.270.27ok31.386.545.811
Team totals11.071384.3
Antagonist / tactical summary
Midfield is evenly contested — Hannibal Mejbri vs Takefusa Kubo will be the pivotal duel. Total antagonist xG — Home: 0.23, Away: 0.61. Home danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle. Away danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle.
Midfield — possession 47.7% / 52.3%, dominance ratio 0.44, key duel: Hannibal Mejbri vs Takefusa Kubo
Hannibal Mejbri xG 0.04Sebastian Tounekti xG 0.03Ismael Gharbi xG 0.04Ayase Ueda xG 0.17Ritsu Doan xG 0.14Daichi Kamada xG 0.07

Summary

Antagonist matchup analysis for Tunisia vs Japan. Most likely scoreline: 1-1. Lambdas derived from 5 home and 5 away individual player duels.
Tactical parity between 4-2-3-1 and 3-5-2. Match outcome driven primarily by individual player quality. Midfield is evenly contested — Hannibal Mejbri vs Takefusa Kubo will be the pivotal duel. Total antagonist xG — Home: 0.23, Away: 0.61. Home danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle. Away danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle.

Netherlands vs Sweden

FIFA World Cup · 20260620 · 4-3-3 vs 3-1-4-2
Predicted 1-1Winner: DrawConfidence 0.75λ home/away 1.63 / 1.05Most-likely P 11.8%
Actual vs predicted: result not available yet (upcoming fixture).

Lambda decomposition (how the goal rates were built)

StageNetherlands λSweden λ
Pre-competitive-floor1.6340.675
Pre-calibration1.6340.675
Final λ1.6341.050
competition calibration scale 1.0competition observed total goals 0.0quality gap applied Truemismatch score pressure applied Falsecompetitive underdog floor applied Truestage discount 1.0

Scoreline distribution & markets

Top 5 scorelinesP
1-111.8%
1-011.1%
2-19.6%
2-09.1%
0-17.1%
Home win50.9%
Draw24.8%
Away win24.3%
Over 2.550.2%
BTTS yes52.4%
Pregame fair line — favorite Netherlands (50.9%), fair total 2.68, fair spread 0.58

Projected players vs season baseline

Proj = projected for this match · Season = this season's per-game average from match data · deviation badge compares projected xG to the player's season xG/game.

Netherlands — projected line vs season baseline (4-3-3)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Bart VerbruggenG9200.00-n/a00.084.336.511
Cody GakpoM8600.180.1431%30.991.536.817
Crysencio SummervilleM7800.040.0342%10.584.545.710
Tijjani ReijndersM6900.060.1036%21.392.841.911
Teun KoopmeinersM2700.130.02484%20.387.556.97
Ryan GravenberchM8500.060.05ok20.992.443.614
Micky van de VenD9200.030.01153%10.388.637.712
Virgil van DijkD9100.130.06101%10.497.747.214
Jan Paul van HeckeD9200.310.11186%10.487.440.011
Denzel DumfriesM9000.060.03132%00.391.120.214
Donyell MalenF7710.400.51ok21.885.852.49
Team totals11.631589.4

Sweden — projected line vs season baseline (3-1-4-2)

PlayerPosMinProj GProj xGSeason xG/gProj ShSeason Sh/gProj RtgSeason RtgRec
Viktor GyökeresF8710.400.19110%21.694.957.718
Gabriel GudmundssonD5300.00-n/a00.284.236.811
Alexander IsakF7900.250.07273%30.896.236.811
Yasin AyariM8100.050.02101%20.783.245.912
Benjamin NygrenF7200.090.10ok11.278.951.813
Alexander BernhardssonF6900.000.01100%00.178.624.08
Jesper KarlströmM8300.000.01100%10.581.447.210
Victor LindelöfD8900.140.02805%10.184.437.221
Isak HienD8800.050.01951%00.284.756.79
Gustaf LagerbielkeD8800.020.0194%00.476.762.416
Kristoffer NordfeldtG8900.00-n/a00.078.337.07
Team totals11.051083.8
Antagonist / tactical summary
Home midfield dominates with ~51% possession expected (Ryan Gravenberch vs Yasin Ayari). Total antagonist xG — Home: 0.71, Away: 0.68. Home danger zone: LW vs CB. Away danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle.
Midfield — possession 51.0% / 49.0%, dominance ratio 0.60, key duel: Ryan Gravenberch vs Yasin Ayari
Ryan Gravenberch xG 0.07Tijjani Reijnders xG 0.07Donyell Malen xG 0.34Viktor Gyökeres xG 0.39Yasin Ayari xG 0.05Victor Lindelöf xG 0.11

Summary

Antagonist matchup analysis for Netherlands vs Sweden. Most likely scoreline: 1-1. Lambdas derived from 5 home and 5 away individual player duels.
Tactical parity between 4-3-3 and 3-1-4-2. Match outcome driven primarily by individual player quality. Home midfield dominates with ~51% possession expected (Ryan Gravenberch vs Yasin Ayari). Total antagonist xG — Home: 0.71, Away: 0.68. Home danger zone: LW vs CB. Away danger zone: Striker vs Two Centre Backs — 1v2 Aerial/Physical Battle.


Generated 2026-09-04 22:27:55 UTC · Soccer prediction reporting