NIC 1-1 LIL · 57% MAN 1-1 PIS · 52% FUL 1-2 MAN · 59% FCS 2-1 SVE · 59% JAG 1-1 LEG · 54% TSG 1-1 CHI · 51% JUV 1-1 ATA · 58% OFI 1-0 AST · 53% VIB 1-2 FCN · 52% SLA 2-1 PLZ · 59% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% NIC 1-1 LIL · 57% MAN 1-1 PIS · 52% FUL 1-2 MAN · 59% FCS 2-1 SVE · 59% JAG 1-1 LEG · 54% TSG 1-1 CHI · 51% JUV 1-1 ATA · 58% OFI 1-0 AST · 53% VIB 1-2 FCN · 52% SLA 2-1 PLZ · 59% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54%
Serie A · Regular Season - 28 Sep 19, 2026 · 20:00 · UTC José Maria de Campos Maia, Mirasol Not Started

Mirassol
vs
Botafogo.

Quick answer

Who will win Mirassol vs Botafogo?

4 of 10 AI models pick Botafogo to win (40%). The mean predicted score is 1–1 at 53% average confidence (low).

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

Head-to-head history → Mirassol form Botafogo form

10 AI models read this match. The plurality on 1X2 leans toward Botafogo (4 of 10 models). The mean predicted score (rounded from all models) is 1–1 at 53% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Mirassol beat Botafogo in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

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

Mirassol win 20%

2 / 10 models

Draw 40%

4 / 10 models

Botafogo win 40%

4 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Draw
1–1
42%
With no usable head-to-head or form data, the safest projection is a balanced, low-scoring contest. Mirassol’s home venue should offset Botafogo’s likely quality advantage, making 1-1 the best estimate.
02
Claude Sonnet 5
Mirassol win
1–0
47%
Mirassol are solid at home with a compact defensive setup; Botafogo's away form has been inconsistent, favoring a tight low-scoring result.
03
Gemini 3.8 Flash
Botafogo win
0–1
55%
Botafogo possess superior individual quality and defensive structure to edge a tight, cautious away fixture at Mirassol.
04
Grok 4.6
Draw
1–1
52%
No H2H or form given; Mirassol’s compact home venue vs Botafogo’s quality points to a tight, low-scoring stalemate rather than a clear winner.
05
DeepSeek V4 Pro
Botafogo win
0–1
48%
Botafogo likely stronger on paper in Serie A; Mirassol may sit deep at home, making a tight away win the most plausible line.
06
Qwen 3.8 Max
Draw
1–1
52%
Limited context and no H2H data; Mirassol's home advantage at a small venue likely offsets Botafogo's quality, suggesting a tight, low-scoring draw.
07
Mistral Medium 3.5
Botafogo win
0–1
58%
Botafogo historically stronger; Mirassol at home but likely to struggle against higher-tier opponent.
08
Kimi K3
Mirassol win
2–1
58%
Mirassol strong at home in Mirasol; Botafogo inconsistent away in 2026 Serie A. Expect tight contest but home edge and better recent form give Mirassol narrow victory.
09
GLM 5.3
Draw
1–1
52%
No H2H data and thin context; Mirassol's home solidity at Campos Maia offsets Botafogo's stronger squad, so a tight, low-scoring draw fits best.
10
MiMo V2.5 Pro
Botafogo win
0–1
62%
Botafogo's superior squad depth and recent form suggest they can secure a narrow, professional away win against a promoted side still finding its footing.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 1–1. The rest of the list shows where dissent still lives before kickoff.

  • 1–1
    4 models
  • 0–1
    4 models
  • 1–0
    1 model
  • 2–1
    1 model

Match overview

Looking for a today prediction on Mirassol vs Botafogo in Serie A? 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 (1 - 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 Botafogo win, with vote shares roughly 20% / 40% / 40% home, draw, and away (rounded).

If you are asking who will win Mirassol vs Botafogo, 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Botafogo

40% of models lean away — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 53% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.70 vs 0.90

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model
— Match context

Form, history, team news.

Mirassol
Last 5
D
2 GF · 2 GA
Recent fixtures
  • Vitoria 2-2 D
Team news

No major injury updates in the current API snapshot.

Botafogo
Last 5
0 GF · 0 GA
Recent fixtures
  • No recent fixtures in the current window.
Team news

No major injury updates in the current API snapshot.

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 20% of models side with Mirassol, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 40% — tight Serie A 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.

Mirassol
~20%
implied lean
Draw
~40%
implied lean
Botafogo
~40%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.60 goals in expectation. A notional totals line near 1.9 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 Mirassol 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 1.60 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: Botafogo win. Pair that with the confidence band (Low) — 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.

Explore more

Keep browsing today prediction coverage and league hubs.

Related matches

— 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.