UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
Premier League · Regular Season - 3 Sep 5, 2026 · 14:00 · UTC City Ground, Nottingham Match Finished · 90'

Nottingham Forest
vs
Tottenham.

10 AI models read this match. The plurality on 1X2 leans toward Nottingham Forest (8 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 59% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

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

Nottingham Forest win 80%

8 / 10 models

Draw 10%

1 / 10 models

Tottenham win 10%

1 / 10 models

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— 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
Nottingham Forest win
2–1
68%
Nottingham Forest's recent dominance over Tottenham and home advantage suggest a narrow win.
02
Claude Sonnet 5
Nottingham Forest win
2–1
52%
Forest have dominated recent H2H meetings and hold strong home form at City Ground; Tottenham's away form has been inconsistent, but they can still score.
03
Gemini 3.8 Flash
Nottingham Forest win
2–1
55%
Nottingham Forest have dominated recent H2H meetings, including consecutive 3-0 wins. While Tottenham have quality, Forest's strong historical edge and home advantage at the City Ground make them slight favorites in a competitive match.
04
Grok 4.6
Nottingham Forest win
1–0
47%
City Ground venue plus Forest's recent home wins over Tottenham support a low-scoring home victory in round 3.
05
DeepSeek V4 Pro
Nottingham Forest win
2–1
60%
Forest's strong H2H record and home advantage suggest a narrow win, despite Tottenham's quality.
06
Qwen 3.8 Max
Nottingham Forest win
1–0
60%
Nottingham Forest's strong recent form at home and defensive solidity suggest a narrow win.
07
Mistral Medium 3.5
Nottingham Forest win
2–1
62%
Forest’s home form and recent H2H dominance suggest narrow win; Tottenham’s away struggles persist despite squad depth.
08
Llama 3.1 70B Instruct
Draw
1–1
62%
Recent head-to-heads show Forest's ability to contain Tottenham; a draw is plausible given Forest's home advantage and Tottenham's inconsistent form.
09
Cohere Command R+ (08-2024)
Tottenham win
1–2
60%
Tottenham's strong attack and recent form should overcome Forest's home advantage, despite their recent head-to-head losses.
10
MiMo V2.5 Pro
Nottingham Forest win
2–1
62%
Forest's strong recent H2H record at City Ground (3-0, 1-0 wins) suggests home advantage; Spurs' recent away form may struggle against a physical, counter-attacking side.
— 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
  • 1–0
    2 models
  • 1–1
    1 model
  • 1–2
    1 model

Match overview

Looking for a today prediction on Nottingham Forest vs Tottenham 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 (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 Nottingham Forest win, with vote shares roughly 80% / 10% / 10% home, draw, and away (rounded).

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

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

02
Medium confidence

Mean 59% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.60 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.

Confidence trend

Cumulative average confidence in table order.

First model Last model
Result check

Actual Draw · AI Nottingham Forest win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Nottingham Forest
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.

Tottenham
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 80% 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
~80%
implied lean
Draw
~10%
implied lean
Tottenham
~10%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.50 goals in expectation. A notional totals line near 2.8 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 2.50 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: Nottingham Forest 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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— Journal

Articles linked to these clubs or AI forecasting.

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