Jordan vs Venezuela Prediction
Jordan vs Venezuela: Model Favouritism for Venezuela in Friendly Clash
International Friendly · World
Jordan
AI Predicted Score
0 - 1
Venezuela
Win Probability (1X2)
Best Value Pick
See full breakdown below
🎮 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 0.90
Expected goals · model says 1.90
Over 2.5 Goals
53%
BTTS: Yes
50%
Likely Scores
0-1 · 0-2 · 1-1
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.
Jordan vs Venezuela Prediction Confidence at a Glance
How strongly the model leans on each market.
Who do you think wins: Jordan vs Venezuela?
Cast your vote, then see how it stacks up against the model.
The Case For This Jordan vs Venezuela Prediction
Venezuela enter this international friendly with a clear edge over Jordan, as reflected by both the Elo ratings and the model’s scoring projections. Venezuela’s Elo rating of 1727 (world rank 38) outpaces Jordan’s 1690 (rank 50), giving the South Americans a baseline advantage despite the neutral venue. The model’s blended expected-goals line, after accounting for both underlying xG and finishing, sits at 1.881 for Venezuela and just 0.899 for Jordan, underlining the visitors’ attacking superiority. Recent form further widens the gap. Jordan’s attack has cooled off (momentum multiplier 0.865), while their defence has become more porous (leak 1.18), compounding their underdog status. Venezuela, meanwhile, show a slight uptick in attacking momentum (1.081) and improved defensive solidity (leak 0.919). The Poisson model translates these factors into a 60.5% win probability for Venezuela, with the most likely scoreline a 1-0 away victory.
Key Factors at a Glance
Attack
- →Venezuela’s final expected goals (λ) rises to 1.881 due to positive momentum and superior xG base.
Defence
- →Jordan’s blended expected goals (λ) drops to 0.899 after poor recent attacking form and defensive leaks.
- →Jordan’s defence has struggled, conceding an average of 2.8 goals per game in their last five matches.
Match Context
- →Venezuela’s Elo rating is 37 points higher than Jordan’s (1727 vs 1690), conferring a strong baseline edge.
- →The model assigns Venezuela a 60.5% win probability, with the draw at 22.1% and Jordan at just 17.5%.
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
1.23 · 1.37
From xG
0.99 · 1.63
Blended
0.90 · 1.88
Hybrid blend: 60% Elo-derived, 40% xG-derived, then adjusted for recent-form momentum.
Recent-form momentum: Jordan's cold attack trims their goals ×0.86; Jordan's leaky defence boosts the opponent ×1.18; Venezuela attacking form lifts their goals ×1.08.
Exact-scoreline probabilities (rows = Jordan goals, columns = Venezuela goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 6 | 12 | 11 | 7 | 3 | 1 |
| 1 | 6 | 10 | 10 | 6 | 3 | 1 |
| 2 | 3 | 5 | 4 | 3 | 1 | 0 |
| 3 | 1 | 1 | 1 | 1 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 0 | 0 | 0 | 0 | 0 | 0 |
Most Likely Scorelines
0-1
11.7%
0-2
11.0%
1-1
10.5%
Stats Worth Knowing
The numbers behind Jordan vs Venezuela that most previews miss.
- 1Jordan have lost their last five matches, conceding 14 goals and scoring just 4 in that span.
- 2Venezuela’s defensive momentum multiplier of 0.919 suggests they are conceding fewer quality chances than average.
- 3The most probable scoreline is 0-1 to Venezuela (11.7%), closely followed by 0-2 (11.0%) and 1-1 (10.5%).
How the Model Reached This
The model begins with Elo ratings, where Venezuela’s 37-point advantage over Jordan sets a clear expectation of superiority. This Elo baseline is then translated into initial expected-goals values: 1.226 for Jordan and 1.374 for Venezuela. Next, the model incorporates xG-based attack and defence factors, adjusting for finishing quality and chance creation. Jordan’s attack factor (0.76) and defensive suppression (0.8) reflect a side struggling at both ends, while Venezuela’s default factors (1.0) indicate a more balanced profile, though with less granular data due to limited recent matches. Momentum adjustments are then applied based on recent form: Jordan’s attack is further downgraded (multiplier 0.865) and their defence is penalised for increased leakiness (1.18), while Venezuela’s attack gets a mild boost (1.081) and their defence tightens up (0.919). These adjustments yield final expected-goals values of 0.899 for Jordan and 1.881 for Venezuela. The model then uses a Poisson distribution to simulate scorelines, resulting in a 60.5% win probability for Venezuela and a predicted 1-0 away win.
More Friendlies Predictions
Jordan vs Venezuela 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.
Jordanlast 5 matchesRegular contributor
Occasional threat
Occasional threat
Venezuelalast 5 matchesRegular contributor
Regular contributor
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Jordan’s recent form is poor, with five consecutive losses and an average of 2.8 goals conceded per match. Their attack has also faltered, averaging just 0.8 goals per game in this stretch. Venezuela, by contrast, have won three of their last five and show positive momentum, especially in defence, conceding just 1 goal per game on average.
Jordan vs Venezuela — Last 5 Matches
Strengths
- +Both teams scoring in most recent games
Concerns
- −4/5 losses in last 5 — poor form
- −Leaky defence — 2.2 conceded/game
- −No clean sheets in last 5 matches
Strengths
- +Over 2.5 goals in 66.67% of games this season
Concerns
- −Inconsistent — 3+ losses in last 5
🚩 Jordan vs Venezuela Corners Prediction
medium confidenceOur corners model projects roughly 3.6 corners for Jordan and 4.8 for Venezuela, for an expected total of 8.4. That makes the model lean Under 9.5 corners (67%). Over 8.5: 46% · Over 10.5: 23%.
Things to Watch: Jordan vs Venezuela
- ⚠️No bookmaker odds are available at present, so value betting opportunities cannot be assessed.
- ⚠️International friendlies are prone to squad rotation and variable motivation, increasing unpredictability.
- ⚠️Venezuela’s player-level data is sparse, which may limit the model’s granularity for their attack and defence.
This analysis is for informational purposes only and does not constitute financial advice. Betting involves risk — always gamble responsibly.
Final Verdict
Jordan 0–1 VenezuelaThe model’s strongest signal is Venezuela’s 60.5% win probability, driven by a final expected-goals gap of nearly 1.0 (1.881 vs 0.899). The predicted scoreline is a 1-0 away win, reflecting Venezuela’s attacking edge and Jordan’s recent struggles at both ends. The main risk to this verdict is the sparsity of recent data for Venezuela and the volatility inherent in international friendlies, where motivation and squad rotation can disrupt expectations.
Jordan vs Venezuela: Common Questions
Who will win Jordan vs Venezuela?
The model gives Venezuela a clear edge, with a 60.5% probability of victory compared to Jordan’s 17.5%. The draw is rated at 22.1%.
What are the expected goals for Jordan and Venezuela?
After all adjustments, the model projects 0.899 expected goals for Jordan and 1.881 for Venezuela.
What is the most likely scoreline for Jordan vs Venezuela?
The most probable result is a 0-1 win for Venezuela, with an 11.7% likelihood according to the model’s Poisson projections.
How This Prediction Was Made
The numbers on this page come from a structured statistical pack for Jordan vs Venezuela: 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: 22 September 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.