CF Montreal vs Charlotte Prediction

CF Montreal
1-2
Finished
HT 1-1
Charlotte
Saputo Stadium, Montréal· Rubiel Vazquez, USA 10/09/2026

AI Best Pick

Statistical forecasts for entertainment purposes only - not betting or financial advice.

Data Quality
Complete
Match Importance
4.4 / 10
AI Best Pick
70%Trust
Double Chance
Home Win or Draw
1.41
SignalNEUTRALModel42%RiskMediumGap-0.5%
Value Analysis
68%Trust
Corners Total
Corners Over 8.5
1.53
SignalGOODModel68%RiskMediumGap+3.2%
CF Montreal Rest
4 days
Charlotte Rest
4 days

Match Forecasts

Match Result
1
41%2.31
X
28%3.75
2
31%2.71
Double Chance
1X
69%1.41
X2
59%1.59
Both Teams to Score
Yes
63%1.44
No
37%2.62
Goals
Projected Goals: 1.31 + 1.37 = 2.68
Over 1.5
78%1.15
Over 2.5
56%1.50
Over 3.5
35%2.29
Under 1.5
22%5.28
Under 2.5
44%2.48
Under 3.5
65%1.61
Corners
Projected Corners: 5.2 + 4.8 = 10
Over 8.5
68%1.53
Over 9.5
54%1.87
Over 10.5
41%2.40
Under 8.5
32%2.32
Under 9.5
46%1.85
Under 10.5
59%1.52
Cards
Projected Cards: 2.2 + 2.1 = 4.2
Over 3.5
61%1.50
Over 4.5
41%2.17
Under 3.5
39%2.42
Under 4.5
59%1.66

Match Events

28'Archie Goodwin INIdan Toklomati Jorno out
34'Daniel RiosAssist: Luca Petrasso
37'Liel AbadaAssist: Allan Saint-Maximin
45+4'Victor LoturiFoul
64'Dante Sealy INNoah Streit out
65'Wikelman·Carmona INGennadiy Synchuk out
67'Luca De La Torre INBrandt Bronico out
68'Liel Abada INRodolfo Aloko out
68'David SchneggFoul
75'Brayan Ceballos INDawid Bugaj out
81'Matthew LongstaffTime wasting
81'Idan Toklomati JornoAssist: David Schnegg
86'Daniel Rios INOwen Graham-Roache out
86'Brayan Vera INEfrain Morales out
88'Allan Saint-Maximin INMorrison Agyemang out

Lineups

CF Montreal
4-2-3-1Coach: Philippe Eullaffroy
Charlotte
4-3-3Coach: D. Smith
S. Breza1S. BrezaS. Breza
B. Ceballos3B. CeballosB. Ceballos
B. Craig5B. CraigB. Craig
B. Vera4B. VeraB. Vera
L. Petrasso13L. PetrassoL. Petrasso
V. Loturi22V. LoturiV. Loturi
M. Longstaff8M. LongstaffM. Longstaff
W. Carmona16W. CarmonaW. Carmona
A. Sánchez10A. SánchezA. Sánchez
D. Sealy17D. SealyD. Sealy
D. Ríos14D. RíosD. Ríos
K. Kahlina1K. KahlinaK. Kahlina
N. Byrne14N. ByrneN. Byrne
H. Kessler22H. KesslerH. Kessler
T. Ream3T. ReamT. Ream
D. Schnegg23D. SchneggD. Schnegg
L. de la Torre17L. de la TorreL. de la Torre
Pep Biel16P. BielPep Biel
D. Diani28D. DianiD. Diani
L. Abada11L. AbadaL. Abada
A. Goodwin7A. GoodwinA. Goodwin
A. Saint-Maximin10A. Saint-MaximinA. Saint-Maximin

CF Montreal Substitutes

18H. SynchukM
21F. HerbersF
6S. PietteM
27D. BugajD
29O. EscobarF
31T. GillierG
23N. StreitM
24E. MoralesD
35Owen Graham-RoacheF

Charlotte Substitutes

13B. BronicoM
21T. MillerG
4A. PrivettD
25Tyger SmallsF
37R. AlokoF
44M. AgyemangD
35Will ClearyD
9I. Toklomati GiornoF
20B. CoulibalyM

Match Stats

CF MontrealCharlotte
58%Ball Possession42%
11Corner Kicks3
2Yellow Cards1
17Total Shots13
5Shots on Goal4
9Shots off Goal2
9Shots Inside Box6
8Shots Outside Box7
3Blocked Shots7
11Fouls12
0Offsides4
2Goalkeeper Saves4
560Total Passes412
489Passes Accurate347
87%Pass Accuracy84%

Team Comparison

CF MontrealCF Montreal
CharlotteCharlotte
1507Elo Rating 1673
0.87Attack 2.02
1.64Defense 1.82
27%Hit Rate 54%
11.0Shots per Game 10.6
4.2Shots on Target 4.1
4.3Corners per Game 4.8
2.2Cards per Game 1.7

AI Insights

📉Home Underperforming
📊Away Overperforming

Game State Tendencies

CF MontrealCF Montreal
  • Tied at half-time in 40% of matches
  • Starts fast - scores more in 1st half (0.9 vs 0 in second half)
  • Concedes more in 2nd half - can tire late
CharlotteCharlotte
  • Tied at half-time in 60% of matches

Head to Head

Based on 5 historical meetings

CF Montreal 58%Draw 0%42% Charlotte
2.75Avg Goals
44%BTTS Rate
44%Over 2.5

Referee Profile

Rubiel Vazquez, USA · 29 matches analysed

4.3Avg Yellows
4.4Avg Cards
24.0Avg Fouls
Stricter than 47% of referees analysed

League Table

Major League Soccer 2026
#TeamMPWDLGGDPtsForm
1Nashville SCNashville SC26176353:21+3257WDLDW
2New England RevolutionNew England Revolution26144845:33+1246WWWLW
3Inter MiamiInter Miami261210463:48+1546DDDDW
4CharlotteCharlotte26127747:37+1043WDWDW
5Chicago FireChicago Fire25116845:38+739LLDDD
6Philadelphia UnionPhiladelphia Union261061050:42+836WWWWW
7Orlando City SCOrlando City SC261041246:60-1434LWWWD
8New York Red BullsNew York Red Bulls26961134:48-1433WWLDL
9FC CincinnatiFC Cincinnati2589854:61-733DDLLD
10New York City FCNew York City FC26881039:34+532LWLDD
11DC UnitedDC United25611831:39-829LDWDL
12Toronto FCToronto FC26611939:49-1029LLWDD
13Columbus CrewColumbus Crew26751437:42-526WLLWL
14Atlanta United FCAtlanta United FC26751430:43-1326WDLDL
15CF MontrealCF Montreal26561531:53-2221LLLLL
#TeamMPGPts
1Nashville SCNashville SC2653:2157
2New England RevolutionNew England Revolution2645:3346
3Inter MiamiInter Miami2663:4846
4CharlotteCharlotte2647:3743
5Chicago FireChicago Fire2545:3839
6Philadelphia UnionPhiladelphia Union2650:4236
7Orlando City SCOrlando City SC2646:6034
8New York Red BullsNew York Red Bulls2634:4833
9FC CincinnatiFC Cincinnati2554:6133
10New York City FCNew York City FC2639:3432
11DC UnitedDC United2531:3929
12Toronto FCToronto FC2639:4929
13Columbus CrewColumbus Crew2637:4226
14Atlanta United FCAtlanta United FC2630:4326
15CF MontrealCF Montreal2631:5321
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CF Montreal vs Charlotte 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

CF Montreal and Charlotte have met 5 times recently, averaging 2.75 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.