Germany vs Ivory Coast Prediction
Germany Face Ivory Coast in Toronto: Model Predicts Tight World Cup Clash
FIFA World Cup 2026 · World
Germany
Full Time
2 - 1
AI predicted 2 - 1
Ivory Coast
Win Probability (1X2)
Best Value Pick
BTTS: Yes
@ 5
Match Result
8.2/10Late Wirtz Winner Lifts Germany Past Ivory Coast in Toronto Thriller
Germany edged past Ivory Coast 2-1 at BMO Field in a pulsating World Cup contest that saw Florian Wirtz snatch a dramatic late winner. Despite dominating possession and creating the lion’s share of chances, the Germans found themselves trailing at the half-hour mark when Ange-Yoan Bonny finished off a swift Ivory Coast counter. Germany responded with patience and purpose, eventually drawing level through Jamal Musiala midway through the second half. As the match entered its final stages, Germany’s relentless pressure paid off. Wirtz, a constant creative threat, found the net in the 90th minute to seal a hard-fought victory. Ivory Coast showed resilience and organization, but ultimately succumbed to Germany’s superior control and attacking depth.
🔮 AI Prediction Report
PSYCHIC MODEPredicted
2 - 1
Actual
2 - 1
💰 Bet Results1/1 hit
Key Moments
30' — Goal
Ange-Yoan Bonny finishes a swift counterattack to give Ivory Coast the lead.
68' — Goal
Jamal Musiala equalizes for Germany after sustained pressure.
90' — Goal
Florian Wirtz scores the winner for Germany in the dying moments.
Germany
Germany delivered a commanding performance, controlling 60% of possession and registering 16 shots, 7 of which were on target. Their patient build-up play and tactical discipline were evident, though they were momentarily stunned by Ivory Coast’s opener. The introduction of fresh legs and a late attacking surge proved decisive, with Wirtz’s stoppage-time winner a testament to their persistence.
Key Players
Strengths
Weaknesses
Ivory Coast
Ivory Coast executed their game plan effectively for much of the match, staying compact in a 4-1-4-1 shape and striking first through Bonny. They managed 9 shots, but only 2 on target, and struggled to maintain possession against Germany’s midfield. Despite resolute defending and some dangerous moments on the break, they ultimately yielded to late German pressure.
Key Players
Strengths
Weaknesses
Tactical Analysis
Germany deployed a 4-2-3-1 formation, focusing on controlling the midfield and utilizing the creativity of Musiala and Wirtz behind Havertz. Their high possession (60%) and 8 corners reflected their territorial dominance. Ivory Coast’s 4-1-4-1 shape prioritized defensive solidity, with Sangaré anchoring the midfield and quick wingers supporting Bonny on the break. As Germany pressed for an equalizer, they pushed their fullbacks higher, stretching the Ivorian defense and eventually breaking through. Substitutions injected energy into Germany’s attack, while Ivory Coast remained committed to their compact block, rarely venturing forward in numbers after their opener. Set pieces and width were key for Germany, while Ivory Coast relied on direct transitions, but ultimately couldn’t withstand the late German surge.
Turning Point
Florian Wirtz’s 90th-minute goal, capping off Germany’s relentless late pressure and sealing the win.
Man of the Match
Florian Wirtz
Scored the decisive winner and was central to Germany’s attacking play throughout.
🎮 Prediction Playground
Think the model has it wrong? Nudge each team's expected goals and watch every probability react — then simulate the match and see what happens.
Expected goals · model says 1.90
Expected goals · model says 1.35
Over 2.5 Goals
63%
BTTS: Yes
63%
Likely Scores
1-1 · 2-1 · 1-0
Play this match once with the probabilities above — every run is different.
Powered by the same Poisson scoreline model behind the prediction. For fun and exploration — not betting advice.
Germany vs Ivory Coast Prediction Confidence at a Glance
How strongly the model leans on each market.
Who do you think wins: Germany vs Ivory Coast?
Cast your vote, then see how it stacks up against the model.
The Case For This Germany vs Ivory Coast Prediction
Germany take on Ivory Coast at BMO Field in Toronto for their second group stage match, with the model seeing a competitive encounter despite Germany’s historical pedigree. The analytics give Germany a 49.8% chance of victory, but Ivory Coast are far from pushovers, with a 27.8% shot at the upset and a 22.5% probability of a draw. The predicted scoreline is a narrow 2-1 in Germany's favor, reflecting both sides’ recent attacking momentum and finishing quality. Both teams come into this match in strong form, with Germany’s attack led by N. Tresoldi and D. Undav, while Ivory Coast’s V. Bayo and S. Adingra have been prolific. The model expects goals at both ends, with a 62.9% probability for both teams to score and the top three most likely correct scores all featuring at least one goal for each side. Expect a lively contest with plenty of attacking intent.
Key Factors at a Glance
Recent Form
- →Model projects 1.88 expected goals for Germany, 1.36 for Ivory Coast after momentum adjustment.
Attack
xG factor — Germany 1.21× · Ivory Coast 1.39×
- →Both teams have high recent-form attack multipliers (1.18), boosting expected goals.
Defence
Suppression — Germany 0.85× · Ivory Coast 0.82×
- →Germany’s defensive suppression (0.855) and Ivory Coast’s (0.822) are both above average.
- →Both teams have scored and conceded at a low rate in recent matches, but finishing quality is high.
Match Context
- →Germany hold a +247 Elo rating edge (1923 vs 1676), ranking 11th to Ivory Coast's 52nd.
Elo Power Ratings
World Football Elo ratings — the model's baseline for relative strength.
xG Attack Strength
Top-11 expected-goals output, adjusted for finishing efficiency and chance quality. 1.00× is the tournament median.
Germany
1.21×Top-11 xG
131
Finishing
1.01×
Chance qual.
1.14×
- N. Tresoldi F16.6 xG
- D. Undav F16.4 xG
- K. Schade M12.2 xG
- C. Boukhalfa M12.1 xG
- J. Burkardt F12.0 xG
Ivory Coast
1.39×Top-11 xG
122
Finishing
1.20×
Chance qual.
1.14×
- V. Bayo F21.8 xG
- C. Bedia F16.5 xG
- W. Kanga F14.3 xG
- S. Adingra M12.4 xG
- R. Kone F10.3 xG
Defensive Suppression
Defender & midfield ball-winning (tackles, interceptions, clearances, blocks). Higher = more suppression of the opponent's attack.
Expected Goals & Scorelines
Elo and xG combine into a blended scoring rate per side, then a Poisson model gives the exact-scoreline grid.
From Elo
1.79 · 0.81
From xG
1.92 · 2.12
Blended
1.88 · 1.36
Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.
Recent-form momentum: Germany attacking form lifts their goals ×1.18; Ivory Coast attacking form lifts their goals ×1.18.
Exact-scoreline probabilities (rows = Germany goals, columns = Ivory Coast goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 4 | 5 | 4 | 2 | 1 | 0 |
| 1 | 7 | 10 | 7 | 3 | 1 | 0 |
| 2 | 7 | 9 | 6 | 3 | 1 | 0 |
| 3 | 4 | 6 | 4 | 2 | 1 | 0 |
| 4 | 2 | 3 | 2 | 1 | 0 | 0 |
| 5 | 1 | 1 | 1 | 0 | 0 | 0 |
Most Likely Scorelines
1-1
10.0%
2-1
9.4%
1-0
7.4%
How the Model Reached This
The model starts with an Elo baseline, where Germany’s 247-point rating advantage sets them as clear favorites. This is reflected in the home expected score of 0.806 versus 0.194 for Ivory Coast. Next, the model incorporates attack and defense factors: Germany’s attack factor (1.212) and Ivory Coast’s (1.391) are both strong, while both defenses suppress opponents well (0.855 for Germany, 0.822 for Ivory Coast). Recent-form momentum is then applied, with both teams showing hot attacking form (1.18 multipliers), nudging their expected goals higher than the raw Elo/xG blend. The final expected goals line lands at 1.88 for Germany and 1.36 for Ivory Coast. These rates are then run through a Poisson model to generate exact scoreline probabilities, resulting in a 2-1 predicted score and a 49.8% win probability for Germany.
Where the Model Sees Value: Germany vs Ivory Coast(1)
Selections where the model's probability beats the bookmaker's implied probability. Expected value is computed from real consensus odds, not opinion.
BTTS: Yes@ 5
Model probability for BTTS is 62.9% (implied odds 1.59), but bookmakers offer 5.0, presenting very strong value.
More World Cup Predictions
Where the Model Disagrees with the Odds: Germany vs Ivory Coast
The model sees some divergence from bookmaker odds in the 'Both Teams to Score: Yes' market. The model assigns a 62.9% probability (implied odds ~1.59), while bookmakers are offering 5.0, suggesting strong value. No other major markets show positive expected value based on current odds.
Odds from Bet365. Positive edge = our model gives a higher probability than the odds imply. EV = expected value per £1 staked.
1X2
Over/Under 2.5
Both Teams Score
Best Value Markets Found by the Model
EV per £1 staked. Positive EV means this bet has mathematical edge over the long run. Past model accuracy is tracked on our predictions tracker.
Edge and EV are derived from model probabilities only and do not constitute financial advice. Odds fluctuate — always verify current prices with your bookmaker.
Germany vs Ivory Coast Goalscorer Form
Goals scored in last 5 matches across all competitions. Rate = goals ÷ 5 games. XI badge shows player is in the expected starting lineup.
Germanylast 5 matchesIn exceptional form
In exceptional form
Regular contributor
Occasional threat
Occasional threat
Occasional threat
Ivory Coastlast 5 matchesRegular contributor
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Both teams enter this match in excellent form. Germany have won five straight, averaging 3.6 goals scored and just 0.8 conceded over that span. Ivory Coast are also on a strong run, with four wins in their last five and similar defensive solidity. However, international form data can be sparse and context-dependent, so caution is warranted in over-interpreting these streaks.
Germany vs Ivory Coast — Last 2 Matches
Strengths
- +5/5 wins in last 5 — excellent form
- +Prolific attack — 3.4 goals/game (last 5)
- +Both teams scoring in most recent games
- +Over 2.5 goals in 100% of games this season
Strengths
- +4/5 wins in last 5 — excellent form
- +Defensively solid — 0.6 conceded/game
- +3 clean sheets in last 5 matches
- +50% clean sheet rate this season
🚩 Germany vs Ivory Coast Corners Prediction
high confidenceOur corners model projects roughly 7.1 corners for Germany and 4.2 for Ivory Coast, for an expected total of 11.3. That makes the model lean Over 9.5 corners (69%). Over 8.5: 79% · Over 10.5: 58%.
What History Says: Germany vs Ivory Coast
There is no significant head-to-head history between Germany and Ivory Coast, making this a rare and intriguing World Cup matchup. With no recent meetings to draw from, both teams will be looking to impose their style early.
Germany vs Ivory Coast Head-to-Head History
Last 1 meeting between these sides
1
Germany wins
0
Draws
0
Ivory Coast wins
Things to Watch: Germany vs Ivory Coast
- ⚠️International form data can be sparse and may not fully reflect current squad strength.
- ⚠️No significant head-to-head data exists for these teams.
- ⚠️World Cup group dynamics and rotation risk can impact lineups unexpectedly.
This analysis is for informational purposes only and does not constitute financial advice. Betting involves risk — always gamble responsibly.
How This Prediction Was Made
The numbers on this page come from a structured statistical pack for Germany vs Ivory Coast: recent results and scoring data for both sides, home/away splits, the head-to-head record, current league standings, known injuries and live bookmaker odds, all sourced from the API-Football data feed.
A deterministic model — The Analytical Engine — turns that pack into the prediction: Elo ratings set the baseline, expected-goals output and defensive suppression adjust each side's scoring rate, recent form nudges the totals, and a Poisson model converts the final rates into the scoreline and market probabilities shown above. The written analysis is AI-generated from those fixed numbers and is not edited by hand.
Last updated: 5 June 2026 (refreshed automatically as new team data arrives). Every prediction is scored against the real result once the match finishes — see the verified track record or read the full methodology. Football is inherently uncertain: treat this page as analysis, not advice.