Toronto FC vs Chicago Fire Prediction
USA · Regular Season - 23
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Match Forecasts
Match Events
Lineups
Toronto FC
1L. GavranL. Gavran
22R. LaryeaR. Laryea
25W. ZimmermanW. Zimmerman
13B. KuscevicB. Kuscevic
3M. PereiraMatheus Pereira
14A. CoelloAlonso Coello
71M. CimermancicM. Cimermancic
7T. CorbeanuT. Corbeanu
10D. MihailovićD. Mihailović
20D. SallóiD. Sallói
9J. SargentJ. Sargent
1C. BradyC. Brady
24J. DeanJ. Dean
5S. RogersS. Rogers
3J. ElliottJ. Elliott
15A. GutmanA. Gutman
6A. SalétrosA. Salétros
42T. D'AvillaT. D'Avilla
7M. Haile-SelassieM. Haile-Selassie
11P. ZinckernagelP. Zinckernagel
9R. LewandowskiR. Lewandowski
12P. DithejaneP. DithejaneToronto FC Substitutes
Chicago Fire Substitutes
Match Stats
Toronto FCChicago Fire Team Comparison
Toronto FCChicago FireAI Insights
Game State Tendencies
Toronto FC- Comeback tendency: recovers from HT deficit 67% of the time
- Scores more in 2nd half (1.3 vs 0.4 in first half)
- Concedes more in 2nd half - can tire late
Chicago Fire- Comeback tendency: recovers from HT deficit 33% of the time
- Scores more in 2nd half (1.2 vs 0.6 in first half)
Head to Head
Based on 5 historical meetings
Recent Form
Toronto FCChicago Fire
Seattle SoundersChicago Fire
MonterreyChicago Fire
New York Red BullsChicago Fire
Orlando City SCChicago FireChicago Fire
Portland TimbersLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  Nashville SC | 26 | 17 | 6 | 3 | 53:21 | +32 | 57 | WDLDW |
| 2 |  New England Revolution | 26 | 14 | 4 | 8 | 45:33 | +12 | 46 | WWWLW |
| 3 |  Inter Miami | 26 | 12 | 10 | 4 | 63:48 | +15 | 46 | DDDDW |
| 4 |  Charlotte | 26 | 12 | 7 | 7 | 47:37 | +10 | 43 | WDWDW |
| 5 | Chicago Fire | 25 | 11 | 6 | 8 | 45:38 | +7 | 39 | LLDDD |
| 6 |  Philadelphia Union | 26 | 10 | 6 | 10 | 50:42 | +8 | 36 | WWWWW |
| 7 | Orlando City SC | 26 | 10 | 4 | 12 | 46:60 | -14 | 34 | LWWWD |
| 8 | New York Red Bulls | 26 | 9 | 6 | 11 | 34:48 | -14 | 33 | WWLDL |
| 9 |  FC Cincinnati | 25 | 8 | 9 | 8 | 54:61 | -7 | 33 | DDLLD |
| 10 |  New York City FC | 26 | 8 | 8 | 10 | 39:34 | +5 | 32 | LWLDD |
| 11 |  DC United | 25 | 6 | 11 | 8 | 31:39 | -8 | 29 | LDWDL |
| 12 | Toronto FC | 26 | 6 | 11 | 9 | 39:49 | -10 | 29 | LLWDD |
| 13 |  Columbus Crew | 26 | 7 | 5 | 14 | 37:42 | -5 | 26 | WLLWL |
| 14 |  Atlanta United FC | 26 | 7 | 5 | 14 | 30:43 | -13 | 26 | WDLDL |
| 15 |  CF Montreal | 26 | 5 | 6 | 15 | 31:53 | -22 | 21 | LLLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Nashville SC | 26 | 53:21 | 57 |
| 2 | New England Revolution | 26 | 45:33 | 46 |
| 3 | Inter Miami | 26 | 63:48 | 46 |
| 4 | Charlotte | 26 | 47:37 | 43 |
| 5 | Chicago Fire | 25 | 45:38 | 39 |
| 6 | Philadelphia Union | 26 | 50:42 | 36 |
| 7 | Orlando City SC | 26 | 46:60 | 34 |
| 8 | New York Red Bulls | 26 | 34:48 | 33 |
| 9 | FC Cincinnati | 25 | 54:61 | 33 |
| 10 | New York City FC | 26 | 39:34 | 32 |
| 11 | DC United | 25 | 31:39 | 29 |
| 12 | Toronto FC | 26 | 39:49 | 29 |
| 13 | Columbus Crew | 26 | 37:42 | 26 |
| 14 | Atlanta United FC | 26 | 30:43 | 26 |
| 15 | CF Montreal | 26 | 31:53 | 21 |
Toronto FC vs Chicago Fire Prediction
Our AI model has analysed this Major League Soccer fixture using team Elo ratings, recent form, projected goals and head-to-head history. The forecasts cover six independent markets - each probability is a separate model calculation, not derived from the match winner result.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive or open market; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
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Key Factors for This Match
Toronto FC and Chicago Fire have met 5 times recently, averaging 3.35 goals per game in those meetings. This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.