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% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% 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% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53%
Premier League · Regular Season - 5 Oct 17, 2026 · 14:00 · UTC City Ground, Nottingham Not Started

Nottingham Forest
vs
Arsenal.

Quick answer

Who will win Nottingham Forest vs Arsenal?

9 of 10 AI models pick Arsenal to win (90%). The mean predicted score is 0–1 at 62% average confidence (medium).

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

Head-to-head history → Nottingham Forest form Arsenal form

10 AI models read this match. The plurality on 1X2 leans toward Arsenal (9 of 10 models). The mean predicted score (rounded from all models) is 0–1 at 62% mean confidence (Medium 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 Nottingham Forest beat Arsenal 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.

Ask the Council Free today · sign in with Google to convene the council
— Consensus

Where the panel lands.

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

Nottingham Forest win 0%

0 / 10 models

Draw 10%

1 / 10 models

Arsenal win 90%

9 / 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
Arsenal win
0–2
68%
Arsenal's superior squad depth and recent head-to-head dominance suggest a comfortable away win, despite Nottingham's home advantage.
02
Claude Sonnet 5
Arsenal win
0–2
60%
Arsenal have dominated recent meetings defensively, and their squad depth/quality typically overwhelms Forest even away from home.
03
Gemini 3.8 Flash
Arsenal win
0–1
60%
Forest have frustrated Arsenal at the City Ground recently with two goalless draws, but the visitors' superior quality should eventually secure a narrow, hard-fought victory.
04
Grok 4.6
Arsenal win
0–1
51%
Arsenal's squad depth and away H2H wins favor a narrow victory; City Ground's low-scoring recent encounters support 0-1 over open games.
05
DeepSeek V4 Pro
Arsenal win
0–2
68%
Arsenal's superior quality and recent H2H dominance, including two 3-0 wins, suggest a controlled away victory.
06
Qwen 3.8 Max
Arsenal win
0–1
62%
Arsenal's strong away form and recent history of narrow wins support a 0-1 away victory, with Nottingham Forest struggling to score at home.
07
Mistral Medium 3.5
Arsenal win
1–2
68%
Arsenal’s superior squad depth and attacking quality likely edge this at City Ground; recent H2H shows Arsenal’s dominance.
08
Llama 3.1 70B Instruct
Arsenal win
0–2
62%
Arsenal's strong recent form and past dominance over Nottingham Forest, including three 3-0 wins, support an away win.
09
Cohere Command R+ (08-2024)
Arsenal win
0–1
65%
Arsenal's superior form, past results, and quality suggest an away win, but H2H history and Forest's home advantage could make it close.
10
MiMo V2.5 Pro
Draw
0–0
55%
Recent H2H at City Ground shows two 0-0 draws; Forest's home setting likely leads to a tight, low-scoring game.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 0–1. The rest of the list shows where dissent still lives before kickoff.

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

Match overview

Looking for a today prediction on Nottingham Forest vs Arsenal in Premier League? 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 (0 - 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 Arsenal win, with vote shares roughly 0% / 10% / 90% home, draw, and away (rounded).

If you are asking who will win Nottingham Forest vs Arsenal, 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 Arsenal

90% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 62% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.10 vs 1.40

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.

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 Nottingham Forest Arsenal Expected total Lean
Corners 5.5 5.2 10.7 Over 10.5 51% Ask AI
Yellow cards 1.4 1.6 3.0 Over 2.5 58% Ask AI
Shots 14.8 12.6 27.5 Under 27.5 52% Ask AI
Shots on target 4.1 4.4 8.5 Under 8.5 52% Ask AI

Sample: 10 matches per side. Probabilities are Poisson estimates for information only.

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.

Nottingham Forest
Last 5
L W D D L
4 GF · 5 GA
Recent fixtures
  • Coventry 0-1 L
  • Aston Villa 1-2 W
  • Tottenham 0-0 D
  • Liverpool 2-2 D
  • Leeds 0-1 L
Team news

No major injury updates in the current API snapshot.

Arsenal
Last 5
L W W W W
9 GF · 6 GA
Recent fixtures
  • Brighton 3-0 L
  • Ipswich 2-4 W
  • Sunderland 0-2 W
  • Chelsea 2-1 W
  • Aston Villa 0-1 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

NOT 0 · D 2 · ARS 3

NOT VS ARS
0-0
DRAW
Jan 17, 2026
ARS VS NOT
3-0
HOME WIN
Sep 13, 2025
NOT VS ARS
0-0
DRAW
Feb 26, 2025
ARS VS NOT
3-0
HOME WIN
Nov 23, 2024
NOT VS ARS
1-2
AWAY WIN
Jan 30, 2024

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 0% of models side with Nottingham Forest, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 10% — tight Premier League 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.

Nottingham Forest
~0%
implied lean
Draw
~10%
implied lean
Arsenal
~90%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.50 goals in expectation. A notional totals line near 1.8 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 Nottingham Forest 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 1.50 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: Arsenal 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.

Explore more

Keep browsing today prediction coverage and league hubs.

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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.