FCC 1-2 PHI · 50% COL 2-1 DCU · 54% NEW 1-0 CFM · 47% AL- 3-0 AL- · 65% COR 1-1 VIT · 42% SPO 1-2 FCD · 60% ST. 2-1 SAN · 49% ACM 1-1 INT · 42% EST 0-1 LEM · 44% AND 1-2 KVC · 43% SKB 0-2 UNI · 62% BAR 3-0 ALA · 64% AST 1-0 FUL · 46% DEP 0-0 TAL · 37% FCC 1-2 PHI · 50% COL 2-1 DCU · 54% NEW 1-0 CFM · 47% AL- 3-0 AL- · 65% COR 1-1 VIT · 42% SPO 1-2 FCD · 60% ST. 2-1 SAN · 49% ACM 1-1 INT · 42% EST 0-1 LEM · 44% AND 1-2 KVC · 43% SKB 0-2 UNI · 62% BAR 3-0 ALA · 64% AST 1-0 FUL · 46% DEP 0-0 TAL · 37%
Major League Soccer · Regular Season - 33 Bank of America Stadium, Charlotte Match Finished · 90'

Charlotte
vs
CF Montreal.

Quick answer

Who will win Charlotte vs CF Montreal?

Final score: Charlotte 4–0 CF Montreal. Before kickoff, 10 of 10 AI models pick Charlotte to win (100%); the consensus was right. The AI predicted score was 2–1.

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → Charlotte form CF Montreal form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (800 matches).

10 AI models read this match. The plurality on 1X2 leans toward Charlotte (10 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 58% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Major League Soccer table Where Charlotte and CF Montreal stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Charlotte win 100%

10 / 10 models

Draw 0%

0 / 10 models

CF Montreal win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Charlotte win
2–1
68%
Charlotte’s 55 goals, stronger 13-10-8 record and home venue outweigh Montreal’s recent win, while Montreal’s 62 conceded suggests Charlotte should create enough chances. Recent head-to-head results also favor Charlotte, though a close game remains likely.
02
Claude Sonnet 5.5
Charlotte win
2–1
58%
Charlotte's attack (Biel, Toklomati) and home venue outweigh Montreal's weak away record (18L, 62 conceded); recent H2H also favors Charlotte.
03
Gemini 3.8 Flash
Charlotte win
2–0
62%
Montreal has struggled significantly with 18 losses and conceded 62 goals. Charlotte's strong attack led by Toklomati and Biel should capitalize comfortably at home.
04
Grok 4.7
Charlotte win
2–0
50%
Charlotte’s stronger 2026 record and attack at Bank of America; Montreal’s 18 losses and 12 blanks support a home shutout more than a 2-1.
05
DeepSeek V4 Pro
Charlotte win
2–1
55%
Charlotte's stronger season record and home venue outweigh poor recent form; Montreal's 18 losses and leaky defense support a narrow home win.
06
Qwen 3.8 Max
Charlotte win
2–0
55%
Charlotte's superior squad and home edge outweigh poor recent form against a Montreal side that failed to score 12 times and concedes 2+ per game on average.
07
Mistral Medium 3.5
Charlotte win
2–1
62%
Charlotte's stronger season (13W vs 6W) and recent H2H win (2-1) outweigh Montreal's poor defense (62 conceded).
08
Kimi K3
Charlotte win
2–1
58%
Charlotte's strong home record and superior goal difference outweigh Montreal's poor away form, though Owusu's threat suggests a narrow home win with both teams scoring.
09
GLM 5.3
Charlotte win
2–0
55%
Charlotte are clearly stronger at home with Biel and Toklomati combining for 26 goals, while Montreal's 6W-18L season and 62 goals conceded suggest a home win; Charlotte's patchy form keeps confidence modest.
10
MiMo V2.6 Pro
Charlotte win
2–1
52%
Charlotte's stronger season (13W vs 6W) and home venue offset poor recent form; Montreal's 62 goals conceded and 12 blanks suggest chances, but Owusu keeps them scoring in a narrow home win.
— Scoreline frequency

How often each scoreline showed up.

6 of 10 models settled on 2–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 2–1
    6 models
  • 2–0
    4 models

Live match centre

Full-time
Charlotte
Idan Toklomati Jorno 7'
Liel Abada 67', 79', 83'
4–0
CF Montreal
Pro

Momentum, live stats, xG, player ratings and every event, minute by minute.

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Bookmakers vs the AI panel

Bet365 · 1.62 / 4.33 / 4.75
Charlotte Market 58% · AI 100%
Draw Market 22% · AI 0%
CF Montreal Market 20% · AI 0%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 10 AI models picking each result.

Team news

Confirmed lineups: Charlotte vs CF Montreal

Charlotte

4-2-3-1
D. Smith
9 I. Toklomati Giorno
9 Giorno
10 A. Saint-Maximin
10 Saint-Maximin
16 Pep Biel
16 Biel
37 R. Aloko
37 Aloko
28 D. Diani
28 Diani
8 A. Westwood
8 Westwood
15 H. Toffolo
15 Toffolo
22 H. Kessler
22 Kessler
44 M. Agyemang
44 Agyemang
14 N. Byrne
14 Byrne
1 K. Kahlina
1 Kahlina

Bench: L. Abada, B. Coulibaly, L. de la Torre, A. Doucouré, T. Miller, A. Privett, N. Richmond, D. Schnegg, Tyger Smalls

CF Montreal

4-3-3
Philippe Eullaffroy
23 N. Streit
23 Streit
14 D. Ríos
14 Ríos
18 H. Synchuk
18 Synchuk
22 V. Loturi
22 Loturi
16 W. Carmona
16 Carmona
8 M. Longstaff
8 Longstaff
13 L. Petrasso
13 Petrasso
4 B. Vera
4 Vera
24 E. Morales
24 Morales
27 D. Bugaj
27 Bugaj
41 S. Keita
41 Keita

Bench: A. Sánchez, D. Sealy, S. Piette, D. Pereira, F. Herbers, V. Radojević, O. Escobar, B. Craig, S. Breza

Season data

Major League Soccer numbers for both sides, when they score and the players who carry them.

Charlotte

4-2-3-1
W-D-L
14-8-10
Goals
59-48
Clean sheets
6
Failed to score
6
Best win run
2
Penalties
4/5
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

CF Montreal

4-3-3
W-D-L
6-7-19
Goals
36-66
Clean sheets
4
Failed to score
13
Best win run
2
Penalties
7/8
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Charlotte

  • I. Toklomati Giorno 15 G · 5 A · 31 apps
  • Pep Biel 12 G · 8 A · 32 apps

Key players · CF Montreal

  • P. Owusu 15 G · 6 A · 26 apps

Top scorers · Major League Soccer

  1. 1 L. Messi Inter Miami 25
  2. 2 P. Musa FC Dallas 22
  3. 3 Rafael Navarro St. Louis City 19
  4. 4 M. Iloski Philadelphia Union 19
  5. 5 D. Bouanga Los Angeles FC 18
Venue Bank of America Stadium, Charlotte
Referee Ricardo Fierro
New at Charlotte A. Doucouré (NEOM), N. Richmond (Crown Legacy), A. Saint-Maximin (Lens)
New at CF Montreal V. Radojević (Chicago Fire), D. Sealy (Colorado Rapids), B. Ceballos (New England Revolution)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Charlotte

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.00 vs 0.60

Derived from predicted scorelines (model means), not live match data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Result check

Actual Charlotte win · AI Charlotte win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Charlotte
#5 · 50 PTS · GD +11
Last 5
W W L D L
13 GF · 8 GA
Recent fixtures
  • Orlando City SC 4-0 W
  • CF Montreal 4-0 W
  • Portland Timbers 3-2 L
  • Philadelphia Union 2-2 D
  • Columbus Crew 3-1 L
Team news
N. Berchimas — Foot Injury B. Bronico — Groin Injury W. Cleary — Illness A. Goodwin — Foot Injury A. John — Shoulder Injury T. Ream — Achilles Tendon Injury
CF Montreal
#15 · 25 PTS · GD -30
Last 5
L L D L L
2 GF · 12 GA
Recent fixtures
  • Charlotte 4-0 L
  • Nashville SC 0-2 L
  • Seattle Sounders 1-1 D
  • Atlanta United FC 0-3 L
  • Toronto FC 2-1 L
Team news
B. Ceballos — Lower-Body Injury T. Gillier — Upper-Body Injury B. Hidalgo — Groin Injury J. Neal — Lower-Body Injury P. Owusu — Lower-Body Injury
— Head to head

Last five meetings.

CHA 3 · D 0 · CFM 2

CFM VS CHA
1-2
AWAY WIN
Sep 9, 2026
CHA VS CFM
1-4
AWAY WIN
Sep 27, 2025
CFM VS CHA
0-1
AWAY WIN
Apr 12, 2025
CHA VS CFM
2-0
HOME WIN
Oct 5, 2024
CFM VS CHA
2-1
HOME WIN
Sep 14, 2024

Confidence trend

Cumulative average confidence in table order.

First model Last model

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 100% of models side with Charlotte, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Major League Soccer games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Charlotte
~100%
implied lean
Draw
~0%
implied lean
CF Montreal
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.60 goals in expectation. A notional totals line near 2.9 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Charlotte is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 2.60 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Charlotte win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on Charlotte vs CF Montreal in Major League Soccer? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (2 - 1; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Charlotte win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Charlotte vs CF Montreal, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.