Jordan vs Indonesia Prediction
Jordan vs Indonesia: Analytics Model Sees Tight Friendly Despite Elo Gap
International Friendly · World
Jordan
AI Predicted Score
1 - 0
Indonesia
Win Probability (1X2)
Best Value Pick
See full breakdown below
🎮 Prediction Playground
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Expected goals · model says 1.35
Expected goals · model says 1.35
Over 2.5 Goals
51%
BTTS: Yes
55%
Likely Scores
1-1 · 0-1 · 1-0
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Powered by the same Poisson scoreline model behind the prediction. For fun and exploration — not betting advice.
Jordan vs Indonesia Prediction Confidence at a Glance
How strongly the model leans on each market.
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The Case For This Jordan vs Indonesia Prediction
Jordan host Indonesia in Amman with a substantial Elo advantage—359 points separate the sides (1690 vs 1331)—yet the model projects a much closer contest than the rankings suggest. While Jordan's attack is typically reliant on the likes of A. Olwan and M. Tamari, recent form has seen their scoring output dip, with a momentum adjustment dragging their expected goals down. Indonesia, on the other hand, come in with a hot attacking streak, reflected in their recent form multiplier and a surprisingly competitive expected-goals line. Despite Jordan's historical dominance in this fixture, the analytics engine gives the home side just a 37.4% chance of victory, with Indonesia close behind at 36.7% and the draw at 25.9%. The predicted scoreline is a narrow 1-0 to Jordan, but the most likely single result is a 1-1 draw, underlining the model's lack of confidence in a clear favourite.
Key Factors at a Glance
Recent Form
- →Jordan's Elo rating is 359 points higher than Indonesia's (1690 vs 1331), but momentum drags their edge down.
Attack
- →Jordan's attack momentum is cold (0.865), lowering their final expected goals to 1.35.
- →Indonesia's attack momentum is hot (1.18), raising their final expected goals to 1.34.
Match Context
- →The top three correct score probabilities are 1-1 (12.3%), 1-0 (9.2%), and 0-1 (9.1%).
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
2.02 · 0.58
From xG
0.99 · 1.63
Blended
1.35 · 1.34
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 ×1.14; Indonesia attacking form lifts their goals ×1.18.
Exact-scoreline probabilities (rows = Jordan goals, columns = Indonesia goals). Darker = more likely.
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 7 | 9 | 6 | 3 | 1 | 0 |
| 1 | 9 | 12 | 8 | 4 | 1 | 0 |
| 2 | 6 | 8 | 6 | 2 | 1 | 0 |
| 3 | 3 | 4 | 3 | 1 | 0 | 0 |
| 4 | 1 | 1 | 1 | 0 | 0 | 0 |
| 5 | 0 | 0 | 0 | 0 | 0 | 0 |
Most Likely Scorelines
1-1
12.3%
1-0
9.2%
0-1
9.1%
Stats Worth Knowing
The numbers behind Jordan vs Indonesia that most previews miss.
- 1Jordan's attack momentum is the lowest it's been all year, with a 0.865 multiplier applied to their expected goals.
- 2Indonesia have scored 2.4 goals per game in their last five matches, but the model tempers this due to sparse data.
- 3The 1-1 draw is the single most probable scoreline at 12.3%, outpacing either side's chance of a 1-0 or 0-1 win.
How the Model Reached This
The model begins by establishing a baseline using Elo ratings, where Jordan's 359-point advantage would typically translate to a strong home edge. However, this is only the starting point. The next layer incorporates expected goals (xG) from attack and defence metrics: Jordan's attack factor is 0.76, with a base xG of 0.72, while Indonesia's attack is set at 1 due to limited data. Defensive suppression is also factored in, with Jordan's defence rated at 0.8 and Indonesia's at 1. Recent momentum plays a significant role in this fixture. Jordan's attack is in a slump (momentum multiplier 0.865), reducing their expected goals from a blended 1.61 to a final 1.35. Conversely, Indonesia's attack is on a hot streak (1.18), boosting their final expected goals to 1.34. These adjusted values are then run through a Poisson model to produce exact scoreline probabilities, resulting in a near coin-flip on the 1X2 market and a predicted 1-0 scoreline for Jordan.
More Friendlies Predictions
Jordan vs Indonesia 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
Indonesialast 5 matchesIn exceptional form
Regular contributor
Occasional threat
Occasional threat
Occasional threat
Occasional threat
Jordan's recent form has been poor, with no wins in their last five matches (form string: DDLLL) and a scoring average of just 0.8 goals per game. Their attack momentum is notably cold, and they've failed to keep a clean sheet in four of those five games. Indonesia, by contrast, are in strong form, averaging 2.4 goals scored and 1.2 conceded per match over their last five, with two clean sheets and a WDWDL record.
Jordan vs Indonesia — Last 6 Matches
Strengths
- +Both teams scoring in most recent games
Concerns
- −Inconsistent — 3+ losses in last 5
Strengths
- +Prolific attack — 2.4 goals/game (last 5)
- +100% clean sheet rate this season
🚩 Jordan vs Indonesia Corners Prediction
medium confidenceOur corners model projects roughly 3.6 corners for Jordan and 7 for Indonesia, for an expected total of 10.6. That makes the model lean Over 9.5 corners (61%). Over 8.5: 73% · Over 10.5: 49%.
What History Says: Jordan vs Indonesia
Jordan and Indonesia have met twice in recent years, with Jordan winning both encounters: 4-1 in a 2019 friendly and 1-0 in a 2022 Asian Cup qualifier. While this suggests a historical edge for Jordan, the small sample size and Indonesia's improved recent form mean past results may not fully predict this fixture.
Jordan vs Indonesia Head-to-Head History
Last 2 meetings between these sides
2
Jordan wins
0
Draws
0
Indonesia wins
Things to Watch: Jordan vs Indonesia
- ⚠️No bookmaker odds are available for this fixture, so value betting is not possible.
- ⚠️International friendlies can be unpredictable due to squad rotation and experimental line-ups.
- ⚠️Indonesia's recent form is strong but based on limited data, increasing model uncertainty.
This analysis is for informational purposes only and does not constitute financial advice. Betting involves risk — always gamble responsibly.
Final Verdict
Jordan 1–0 IndonesiaThe analytics model calls this a low-confidence, razor-thin contest, predicting a 1-0 win for Jordan but with the 1-1 draw as the most likely individual outcome. The single strongest number is the near parity in final expected goals—1.35 for Jordan, 1.34 for Indonesia—after momentum adjustments. The biggest risk to the prediction is Indonesia's recent attacking surge, which, if sustained, could tip the balance or even produce an away win.
Jordan vs Indonesia: Common Questions
Who will win Jordan vs Indonesia?
The model gives Jordan a 37.4% chance to win, Indonesia a 36.7% chance, and a draw 25.9%. It's a near toss-up despite Jordan's Elo advantage.
What are the most likely scorelines for Jordan vs Indonesia?
The three most probable scorelines are 1-1 (12.3%), 1-0 to Jordan (9.2%), and 0-1 to Indonesia (9.1%), reflecting the model's expectation of a close match.
Will both teams score in Jordan vs Indonesia?
The model estimates a 54.7% probability that both teams will score, slightly favouring BTTS over a clean sheet for either side.
How This Prediction Was Made
The numbers on this page come from a structured statistical pack for Jordan vs Indonesia: 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.