Colombia vs Chile Prediction
Colombia's Elo edge puts Chile on the back foot in Cali friendly

Colombia
AI Predicted Score
1 - 0

Chile
Win Probability (1X2)
Best Value Pick
See full breakdown below
🎮 Prediction Playground
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Expected goals · model says 1.55
Expected goals · model says 0.95
Over 2.5 Goals
46%
BTTS: Yes
48%
Likely Scores
1-0 · 1-1 · 2-0
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.
Colombia vs Chile Prediction Confidence at a Glance
How strongly the model leans on each market.
Who do you think wins: Colombia vs Chile?
Cast your vote, then see how it stacks up against the model.
The Case For This Colombia vs Chile Prediction
Colombia enter this friendly in Cali with a commanding Elo advantage of +265 points over Chile, reflecting their status as the 7th-ranked side globally versus Chile’s 44th. The model’s expected goals line, after blending Elo and xG data, stands at 1.56 for Colombia to 0.97 for Chile, with momentum slightly dampening Colombia’s attack but barely nudging Chile’s numbers. Colombia’s top attacking trio—L. J. Suárez, R. Martínez, and L. Díaz—bring proven finishing to a side that’s outscored its underlying xG, while Chile’s data is notably sparse, making their attacking threat harder to quantify. Defensively, Colombia’s suppression factor of 0.8 signals a robust back line, further limiting Chile’s prospects. The most probable scoreline is a 1-0 Colombia win (12.4% likelihood), with a draw (1-1, 12.1%) not far behind. The model gives Colombia a 51% win probability, with a 25% chance of a draw and just 24% for an away win, indicating clear but not overwhelming home superiority.
Key Factors at a Glance
Recent Form
- →Blended expected goals: Colombia 1.56, Chile 0.97 after momentum adjustments
Attack
- →Chile’s recent form is patchy and their attack data is sparse
Defence
- →Colombia’s defensive suppression (0.8) limits Chile’s attacking output
Match Context
- →Colombia’s Elo rating advantage (+265) and 0.82 expected points edge
- →Most likely result: Colombia 1-0 Chile (12.4% probability)
Elo Power Ratings
World Football Elo ratings — the model's baseline for relative strength.
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
1.83 · 0.77
From xG
1.42 · 1.63
Blended
1.56 · 0.97
Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.
Recent-form momentum: Colombia's cold attack trims their goals ×0.86; Chile's leaky defence boosts the opponent ×1.08.
Exact-scoreline probabilities (rows = Colombia goals, columns = Chile goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 8 | 8 | 4 | 1 | 0 | 0 |
| 1 | 12 | 12 | 6 | 2 | 0 | 0 |
| 2 | 10 | 9 | 5 | 1 | 0 | 0 |
| 3 | 5 | 5 | 2 | 1 | 0 | 0 |
| 4 | 2 | 2 | 1 | 0 | 0 | 0 |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 |
Most Likely Scorelines
1-0
12.4%
1-1
12.1%
2-0
9.7%
Stats Worth Knowing
The numbers behind Colombia vs Chile that most previews miss.
- 1Colombia have kept 3 clean sheets in their last 5 matches, conceding just 0.4 goals per game.
- 2Six of the last nine meetings between these sides have ended in draws, including four goalless stalemates.
- 3Chile’s away record in their last five is mixed: 2 wins, 3 losses, 7 goals scored, 8 conceded.
How the Model Reached This
The model starts with Colombia’s substantial Elo rating lead—1975 to Chile’s 1710—which sets the baseline win probabilities at 51% for Colombia and 24% for Chile. This rating gap translates to a home expected score of 0.82 for Colombia and 0.18 for Chile before any further adjustments. Next, the model incorporates attacking and defensive factors. Colombia’s attack factor (1.091) and finishing (1.2) are above average, but their chance quality is slightly below par (0.88), while their defensive suppression (0.8) further restricts Chile’s expected output. Chile’s lack of recent xG and player data means their attack is harder to model, but their factors are set at baseline (1.0). Momentum adjustments from recent form see Colombia’s attack slightly cooled (0.865 multiplier), while Chile’s is marginally boosted (1.027), resulting in final expected goals of 1.56 for Colombia and 0.97 for Chile. These expected goals are then run through a Poisson model to generate exact scoreline probabilities. The most likely outcomes are 1-0 (12.4%), 1-1 (12.1%), and 2-0 (9.7%), with the overall probability distribution favouring a low-scoring Colombia win.
More Friendlies Predictions
Colombia vs Chile 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.
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Regular contributor
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Colombia’s recent form is solid, with an 8-point haul from their last five matches and a defensive record of just 0.4 goals conceded per game. Their attack, however, has cooled slightly, averaging only 0.8 goals per match in that stretch. Chile’s form is more erratic, with two wins and three losses in their last five, scoring 1.4 and conceding 1.6 per game. Both sides come in with no reported injuries.
Colombia vs Chile — Last 7 Matches
Strengths
- +Defensively solid — 0.4 conceded/game
- +3 clean sheets in last 5 matches
- +Dominant in possession — 58% avg
Concerns
- −Inconsistent — 3+ losses in last 5
🚩 Colombia vs Chile Corners Prediction
medium confidenceOur corners model projects roughly 4.3 corners for Colombia and 4.6 for Chile, for an expected total of 9. That makes the model lean Under 9.5 corners (59%). Over 8.5: 54% · Over 10.5: 29%.
What History Says: Colombia vs Chile
These teams are no strangers, having met nine times since 2015. Draws have dominated the series, with six stalemates—including four goalless encounters. Colombia have won the last two home fixtures convincingly (4-0 in 2024 and 3-1 in 2021), while Chile’s only win in this period came in the 2016 Copa America.
Colombia vs Chile Head-to-Head History
Last 9 meetings between these sides
2
Colombia wins
6
Draws
1
Chile wins
Things to Watch: Colombia vs Chile
- ⚠️No bookmaker odds are available for this match, so no value bets can be recommended.
- ⚠️Chile’s lack of recent attacking data introduces uncertainty into the model’s projections.
- ⚠️International friendlies can feature experimental lineups, affecting reliability.
This analysis is for informational purposes only and does not constitute financial advice. Betting involves risk — always gamble responsibly.
Final Verdict
Colombia 1–0 ChileThe model’s final call is a 1-0 win for Colombia, anchored by their 51% win probability and a disciplined defence that has kept three clean sheets in their last five. The single strongest number behind this verdict is the +265 Elo rating gap, which shapes both the win probability and the expected goals. The main risk to this scenario is Chile’s unpredictability—especially given the lack of granular data on their attack—which could see them snatch a draw or capitalise if Colombia’s finishing falters.
Colombia vs Chile: Common Questions
Who will win Colombia vs Chile?
The model gives Colombia a 51% probability of winning, with a 25% chance of a draw and Chile at 24% for the upset. Colombia are clear favourites but not overwhelming ones.
What is the most likely scoreline for Colombia vs Chile?
The most probable result is a 1-0 win for Colombia (12.4% probability), followed closely by a 1-1 draw (12.1%) and a 2-0 Colombia win (9.7%).
Will both teams score in Colombia vs Chile?
The model rates both teams to score (BTTS) at 49%, with a slightly higher 51% probability for 'no'. A low-scoring game is marginally more likely.
How This Prediction Was Made
The numbers on this page come from a structured statistical pack for Colombia vs Chile: 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: 30 October 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.