← Match Finder
Premier League
Referee: P Bankes
Tottenham
T S U T S
1–2
Full-time
Nott'm Forest
S U S T T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

Unlock with Pro

Already have an account? Log in

Team trends

Tottenham Nott'm Forest
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,2
1,7
Over 2.5 Ø 33%
33%
33%
Both score Ø 42%
50%
33%
Average goals
2,7
2,0
Scored
1,2
1,2
Conceded
1,5
0,8
Goal diff per game
-0,3
+0,3
xG created Pro
xG conceded Pro
xG diff Pro
This season — Premier League · 32/32 matches
Win Ø 44%
34%
53%
Points per game
1,2
1,8
Over 2.5 Ø 58%
66%
50%
Both score Ø 52%
59%
44%
Average goals
3,4
2,8
Scored
1,9
1,6
Conceded
1,5
1,2
Goal diff per game
+0,3
+0,4
xG created Pro
xG conceded Pro
xG diff Pro
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 0–2

2,14 xG 0,48
70% Possession 30%
22 Shots 4
6 Shots on target 3
4 Blocked shots 0
1 Goalkeeper saves 4
7 Corners 1
0 Offside 3
11 Free kicks against 12
1 Yellow cards 4
0 Red cards 0
The table before the match Tottenham 16. · Nott'm Forest 6.
# Team K V U T +/− xG +/− P
1 Liverpool 33 24 7 2 +44 +44.9 79
2 Arsenal 33 18 12 3 +34 +25.9 66
3 Newcastle 33 18 5 10 +18 +13.0 59
4 Man City 33 17 7 9 +22 +17.1 58
5 Chelsea 33 16 9 8 +18 +19.1 57
6 Nott'm Forest 32 17 6 9 +13 -0.7 57
7 Aston Villa 33 16 9 8 +6 +7.5 57
8 Bournemouth 33 13 10 10 +12 +17.2 49
9 Fulham 33 13 9 11 +3 +3.5 48
10 Brighton 33 12 12 9 +0 +4.6 48
11 Brentford 33 13 7 13 +6 -0.4 46
12 Crystal Palace 33 11 11 11 -4 +6.3 44
13 Everton 33 8 14 11 -6 -5.3 38
14 Man United 33 10 8 15 -8 -5.2 38
15 Wolves 33 11 5 17 -13 -13.5 38
16 Tottenham 32 11 4 17 +11 -0.7 37
17 West Ham 33 9 9 15 -18 -11.3 36
18 Ipswich 33 4 9 20 -38 -37.4 21
19 Leicester 33 4 6 23 -46 -38.5 18
20 Southampton 33 2 5 26 -54 -46.2 11

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Match report

Tottenham Nott'm Forest
5′
E. Anderson 0–1
N. Domínguez
11′
ℹ️ Chris Wood
VAR: Goal cancelled
16′
C. Wood 0–2
A. Elanga
Cristian Romero 🟨
42′
Half-time 0–2
B. Davies 🔁
↦ M. van de Ven
46′
K. Danso 🔁
↦ C. Romero
46′
46′
🔁 Morato
↦ A. Elanga
58′
🔁 C. Hudson-Odoi
↦ Danilo
58′
🔁 R. Yates
↦ N. Domínguez
65′
🟨 Morgan Gibbs-White
B. Johnson 🔁
↦ W. Odobert
67′
D. Solanke 🔁
↦ D. Kulusevski
67′
76′
🔁 T. Awoniyi
↦ C. Wood
L. Bergvall 🔁
↦ P. Sarr
81′
1–2 Richarlison
Pedro Porro
87′
89′
🟨 Ryan Yates
92′
🟨 Matz Sels
93′
🔁 R. Sosa
↦ M. Gibbs-White
94′
🟨 Harry Toffolo
Full-time 1–2

Line-ups

Tottenham

4-3-3
1 G. Vicario G
23 Pedro Porro D
17 C. Romero D
37 M. van de Ven D
24 D. Spence D
21 D. Kulusevski M
30 R. Bentancur M
29 P. Sarr M
28 W. Odobert F
9 Richarlison F
11 M. Tel F
Bench (9)
33 B. Davies
4 K. Danso
22 B. Johnson
19 D. Solanke
15 L. Bergvall
10 J. Maddison
8 Y. Bissouma
14 A. Gray
31 A. Kinský

Coach: A. Postecoglou

Nott'm Forest

4-2-2-2
26 M. Sels G
7 N. Williams D
31 N. Milenković D
5 Murillo D
15 H. Toffolo D
16 N. Domínguez M
28 Danilo M
10 M. Gibbs-White M
8 E. Anderson M
11 C. Wood F
21 A. Elanga F
Bench (9)
4 Morato
14 C. Hudson-Odoi
22 R. Yates
9 T. Awoniyi
24 R. Sosa
44 Z. Abbott
6 I. Sangaré
33 Carlos Miguel
19 Álex Moreno

Coach: Nuno Espírito Santo

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,47
U
3,71
B ✓
2,66
Over/under goals
O1,5 ✓
O2,5 ✓
1,58
U2,5
2,38
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

P Bankes · 156 kamper i vår database

🟨 Yellow cards
4,1 / match
Above average
⚽ Free kicks
21,6 / match
Above average

🟥 Red cards: 0,12 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.