Football · Thailand Division 3 · 04/10, 10:30

Prediction: Singburi Warriors vs North Bangkok University

Prediction summary
Expected goals
2.56Total
Singburi Warriors0.88
North Bangkok University1.68
1X2
20% 24% 56%
Singburi Warriors Draw North Bangkok University
Markets
Under 2.5 goals 53% Both teams to score 51%
Most likely score
1-1 13%
Recent form · 10 last
Singburi Warriors 2-3-5 (W-D-L)
DLLLLWDLWD
North Bangkok University 4-2-4 (W-D-L)
LDWWLDLWLW
Head-to-head
Singburi Warriors 0–1 North Bangkok University (1 last)
  • North Bangkok University1-0Singburi Warriors
Our model (Elo) vs Market Rating Elo · Singburi Warriors 1468 · North Bangkok University 1561
Singburi WarriorsDrawNorth Bangkok University
Our model18%26%55%
Market20%22%57%
Estimated total (ours) 2.56 goals · Bet365 line 2.75 · -0.2

The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.

Model analysis
1st-half goalsUnder 1.5 · 53%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours North Bangkok University (rating 1468 vs 1561).
  • Cards-heavy: 8.1 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

Singburi WarriorsNorth Bangkok University
Goals for / against (FT)1.1 / 1.61.3 / 1.1
Goals for / against (HT)0.6 / 0.70.4 / 0.4
Half-time result (W/D/L)30/40/30%20/60/20%
Corners (HT / FT)2.4 / 4.31.8 / 4.4
Cards (🟨 / 🟥)3.3 / 0.34.8 / 0.2

Head-to-head (H2H) · Singburi Warriors 0–0–1 North Bangkok University

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DateHomeScoreAway
31/01/26
Thailand Division 3
North Bangkok University1-0
HT 0-0
Singburi Warriors

Common opponents 4 opponents

How each team fared against the same recent opponents

OpponentSingburi WarriorsNorth Bangkok University
Pathum Thani University 1-1 D 0-0 D
Prime Bangkok 2-1 W 4-2 W
Chamchuri Utd 0-2 L 2-2 D
Kasem Bundit University 1-3 L 2-1 W
Record vs common 1 W 1 D 2 L 2 W 2 D 0 L

Better against common opponents: North Bangkok University (3 of 4 head-to-heads won)

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

Singburi Warriors

DLLLLWDLWD

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Date Opponent HT FT Cor.Cards Res.
19/09 Pathum Thani University
Thailand Division 3
0-0 1-1 32 D
07/03 Prime Bangkok
Thailand Division 3
1-0 2-1 35 W
28/02 Chamchuri Utd
Thailand Division 3
0-0 0-2 41 L
15/02 Lopburi City FC
Thailand Division 3
2-1 3-3 98 D
11/02 Pathum Thani University
Thailand Division 3
2-0 2-0 13 W
31/01 North Bangkok University
Thailand Division 3
0-0 0-1 52 L
18/01 Kasem Bundit University
Thailand Division 3
0-1 1-3 23 L
23/11 Royal Thai Air Force FC
Thailand Division 3
0-2 1-2 44 L
15/11 Prime Bangkok
Thailand Division 3
0-2 0-2 64 L
08/11 Chamchuri Utd
Thailand Division 3
1-1 1-1 64 D

North Bangkok University

LDWWLDLWLW

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Date Opponent HT FT Cor.Cards Res.
16/05 Chiangmai FC
Thailand Division 3
0-0 1-0 65 W
02/05 Uttaradit FC
Thailand Division 3
0-0 1-2 14 L
28/04 Prime Bangkok
Thailand Division 3
2-1 4-2 94 W
25/04 Uttaradit FC
Thailand Division 3
0-1 0-1 45 L
21/03 Pathum Thani University
Thailand Division 3
0-0 0-0 49 D
07/03 Ang Thong FC
Thailand Division 3
0-0 1-2 24 L
28/02 Kasem Bundit University
Thailand Division 3
0-1 2-1 84 W
21/02 Saraburi United
Thailand Division 3
1-0 2-0 44 W
15/02 Chamchuri Utd
Thailand Division 3
1-1 2-2 13 D
10/02 Prime Bangkok
Thailand Division 3
0-0 0-1 58 L

Frequently asked questions

Who is the favourite in Singburi Warriors vs North Bangkok University?

According to our model, the most likely result is an North Bangkok University win (56%). Probabilities: Singburi Warriors 20%, draw 24%, North Bangkok University 56%.

How many goals are expected in Singburi Warriors vs North Bangkok University?

The model expects 2.56 goals (Singburi Warriors 0.88 · North Bangkok University 1.68), with a 54% chance of under 2.75 goals.

Will both teams score in Singburi Warriors vs North Bangkok University?

The model gives a 51% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.