MOL 1-0 KAZ · 47% SER 0-1 GER · 58% NET 2-1 GRE · 50% SLO 2-0 FAR · 60% BUL 0-1 ICE · 55% LIE 0-1 AZE · 52% LUX 0-1 EST · 47% AND 0-0 GIB · 39% SLO 0-1 SWI · 56% SCO 2-0 FYR · 64% SAL 0-3 CEL · 69% INT 1-2 SAN · 50% KOS 1-0 ISR · 50% NOR 2-1 WAL · 54% MOL 1-0 KAZ · 47% SER 0-1 GER · 58% NET 2-1 GRE · 50% SLO 2-0 FAR · 60% BUL 0-1 ICE · 55% LIE 0-1 AZE · 52% LUX 0-1 EST · 47% AND 0-0 GIB · 39% SLO 0-1 SWI · 56% SCO 2-0 FYR · 64% SAL 0-3 CEL · 69% INT 1-2 SAN · 50% KOS 1-0 ISR · 50% NOR 2-1 WAL · 54%
Major League Soccer · Round of 16 Soldier Field Not Started

Chicago Fire
vs
Charlotte.

Quick answer

Who will win Chicago Fire vs Charlotte?

8 of 10 AI models pick Chicago Fire to win (80%). The mean predicted score is 2–1 at 48% average confidence (medium).

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

Head-to-head history → Chicago Fire form Charlotte form

10 AI models read this match. The plurality on 1X2 leans toward Chicago Fire (8 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 48% 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 Chicago Fire and Charlotte stand right now
— Consensus

Where the panel lands.

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

Chicago Fire win 80%

8 / 10 models

Draw 20%

2 / 10 models

Charlotte 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-6.1 Sol
Chicago Fire win
2–1
42%
Chicago has won the last four of five listed meetings, including both 2026 encounters, and Soldier Field adds a home edge. Charlotte’s strong scoring record and recent unbeaten run make a narrow result more plausible than a shutout.
02
Claude Opus 5.5
Chicago Fire win
2–1
40%
Evenly matched sides with similar records; Chicago won the last two meetings and play at Soldier Field. Charlotte's Biel and Toklomati Giorno should score, so a narrow home win looks likeliest.
03
Gemini 4 Argon
Draw
1–1
48%
Both teams are evenly matched across the season with potent attacks. A tense playoff knockout atmosphere at Soldier Field points toward a tight stalemate.
04
Grok 4.7
Chicago Fire win
2–1
54%
Chicago own the recent H2H and Soldier Field, against leaky defenses on both sides. Charlotte's steadier last five keeps it a narrow home win.
05
DeepSeek V4 Pro
Chicago Fire win
2–1
36%
Chicago's strong H2H edge and home venue support a narrow win, though both attacks are prolific and Charlotte's form is solid, making the exact line uncertain.
06
Tencent Hy4
Draw
1–1
48%
Chicago's strong H2H at Soldier Field is offset by Charlotte's better last-five form and superior scoring depth; both sides concede regularly, so a shared-score draw fits.
07
Meta Muse Spark 1.3
Chicago Fire win
2–1
53%
Chicago have won four straight vs Charlotte including 1-0 and 2-1 this season. Both score heavily at Soldier Field with few clean sheets.
08
NVIDIA Nemotron 3 Ultra
Chicago Fire win
2–1
58%
Chicago Fire won three of last four H2H at home; Charlotte's road form dips late. Both sides score late, but Fire's home edge tips a tight knockout.
09
GLM 5.3
Chicago Fire win
2–1
52%
Chicago won both 2026 meetings and host at Soldier Field with stronger form; Charlotte's Biel/Toklomati attack keeps it tight, so 2-1 fits.
10
MiMo V2.6 Pro
Chicago Fire win
2–1
52%
Chicago won three straight H2H including 2-1 at Soldier Field, and both sides concede heavily; Charlotte's Biel and Toklomati keep it close, but home edge and Zinckernagel's supply tilt it.
— Scoreline frequency

How often each scoreline showed up.

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

  • 2–1
    8 models
  • 1–1
    2 models

Season data

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

Chicago Fire

4-4-2
W-D-L
16-7-11
Goals
64-54
Clean sheets
7
Failed to score
3
Best win run
3
Penalties
6/10
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Charlotte

4-2-3-1
W-D-L
15-9-10
Goals
66-51
Clean sheets
7
Failed to score
6
Best win run
2
Penalties
4/6
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Chicago Fire

  • P. Zinckernagel 7 G · 9 A · 33 apps

Key players · Charlotte

  • Pep Biel 12 G · 9 A · 34 apps
  • I. Toklomati Giorno 15 G · 5 A · 33 apps

Top scorers · Major League Soccer

  1. 1 L. Messi Inter Miami 26
  2. 2 P. Musa FC Dallas 22
  3. 3 S. Surridge Nashville SC 21
  4. 4 B. White Vancouver Whitecaps 20
  5. 5 Rafael Navarro St. Louis City 19
Venue Soldier Field
New at Chicago Fire N. Allen (Inter Miami), J. Gómez (Eintracht Braunschweig), A. Hanche-Olsen (FSV Mainz 05)
New at Charlotte A. Doucouré (NEOM), N. Richmond (Crown Legacy), A. Saint-Maximin (Lens)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Chicago Fire

80% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 48% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.80 vs 1.00

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.

Match stats forecast

Corners, cards and shots from each side's last 10 matches at this venue, blended with the league average. Pure statistics, not an AI vote.

No AI
Metric Chicago Fire Charlotte Expected total Lean
Corners 4.7 3.8 8.5 Under 8.5 52% Ask AI
Yellow cards 2.2 1.5 3.7 Over 3.5 50% Ask AI
Shots 15.0 11.7 26.7 Over 26.5 50% Ask AI
Shots on target 5.1 4.1 9.2 Under 9.5 56% Ask AI

Sample: 4 matches per side. Over the last 90 days the corners lean hit 55% of 461 graded matches, cards 57% of 462. Probabilities are Poisson estimates for information only.

— Match context

Form, history, team news.

Chicago Fire
#4 · 55 PTS · GD +10
Last 5
L W D W L
12 GF · 11 GA
Recent fixtures
  • Columbus Crew 3-4 L
  • Colorado Rapids 2-4 W
  • Orlando City SC 2-2 D
  • Atlanta United FC 2-3 W
  • New England Revolution 1-0 L
Team news
A. Franco — Knee Injury A. Gutman — Inactive V. Radojevic — Lower-Body Injury J. Bamba — Lower-Body Injury S. Rogers — Lower-Body Injury J. Shokalook — Head Injury J. Dean — Red Card H. Cuypers — Lower-Body Injury C. Mueller — Lower-Body Injury J. Elliott — Illness L. Barroso — Injury R. Lod — Face Injury
Charlotte
#5 · 54 PTS · GD +15
Last 5
D W W L D
15 GF · 8 GA
Recent fixtures
  • Inter Miami 3-3 D
  • Orlando City SC 4-0 W
  • CF Montreal 4-0 W
  • Portland Timbers 3-2 L
  • Philadelphia Union 2-2 D
Team news
H. Kessler — Lower-Body Injury L. de la Torre — Concussion W. Zaha — Yellow Cards T. Ream — Muscle Injury H. Toffolo — Hamstring Injury A. Westwood — Yellow Cards N. Byrne — Muscle Injury A. Saint-Maximin — Inactive D. Schnegg — Red Card N. Berchimas — International duty A. John — Upper-Body Injury A. Johnson — Injury
— Head to head

Last five meetings.

CHI 1 · D 0 · CHA 0

CHA VS CHI
0-1
AWAY WIN
Sep 26, 2026

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 80% of models side with Chicago Fire, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 20% — 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.

Chicago Fire
~80%
implied lean
Draw
~20%
implied lean
Charlotte
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.80 goals in expectation. A notional totals line near 3.1 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 Chicago Fire 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 2.80 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: Chicago Fire 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 Chicago Fire vs Charlotte 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 Chicago Fire win, with vote shares roughly 80% / 20% / 0% home, draw, and away (rounded).

If you are asking who will win Chicago Fire vs Charlotte, 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.