Football · Oman League · 24/10, 17:05

Prediction: Bahla vs Al-Nasr Salalah

Team pages: Bahla · Al-Nasr Salalah

Prediction summary
Expected goals
2.44Total
Bahla1.12
Al-Nasr Salalah1.32
1X2
30% 30% 40%
Bahla Draw Al-Nasr Salalah
Markets
Under 2.5 goals 56% Both teams to score 52%
Most likely score
1-1 14%
Recent form · 10 last
Bahla 4-3-3 (W-D-L)
DDDLWWLLWW
Al-Nasr Salalah 6-2-2 (W-D-L)
DLLWDWWWWW
Head-to-head
Bahla 1–1–4 Al-Nasr Salalah (6 last)
  • Bahla1-3Al-Nasr Salalah
  • Al-Nasr Salalah3-2Bahla
  • Al-Nasr Salalah3-0Bahla
  • Bahla0-1Al-Nasr Salalah
  • Bahla1-0Al-Nasr Salalah
  • Al-Nasr Salalah1-1Bahla
Our model (Elo) vs Market Rating Elo · Bahla 1525 · Al-Nasr Salalah 1542
BahlaDrawAl-Nasr Salalah
Our model30%30%40%
Market30%31%40%
Estimated total (ours) 2.44 goals · Bet365 line 2 · +0.4

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 goalsOver 1.5 · 56%model estimate

Match keys

  • H2H favours Al-Nasr Salalah: 4-1-1.
  • Cards-heavy: 7.9 🟨 combined avg.

Statistics · 10/10 matches analysed

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

BahlaAl-Nasr Salalah
Goals for / against (FT)1.1 / 1.11.3 / 0.5
Goals for / against (HT)0.6 / 0.70.8 / 0.5
Half-time result (W/D/L)20/50/30%38/38/25%
Corners (HT / FT)1.7 / 4.42.1 / 5
Cards (🟨 / 🟥)3.9 / 04 / 0.1

Head-to-head (H2H) · Bahla 1–1–4 Al-Nasr Salalah

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DateHomeScoreAway
13/05/26
Oman League
Bahla1-3
HT 1-1
Al-Nasr Salalah
25/01/26
Oman League
Al-Nasr Salalah3-2
HT 1-1
Bahla
10/10/25
Oman Federation Cup
Al-Nasr Salalah3-0
HT 1-0
Bahla
27/04/25
Oman League
Bahla0-1
HT 0-1
Al-Nasr Salalah
11/11/24
Oman Professional League Cup
Bahla1-0
HT 1-0
Al-Nasr Salalah
28/10/24
Oman League
Al-Nasr Salalah1-1
HT 1-0
Bahla

Standings · Oman League

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#Team PWDL GFGAPts
1 Al-Nasr Salalah 4400 7112
2 Al-Nahda 4310 10410
3 Al Shabab Seeb 4301 1259
4 Saham 5302 559
5 Al Seeb 4211 637
6 Bahla 4202 556
7 Oman FC 4202 336
8 Samail 5131 476
9 Ibri Club 5122 755
10 Fanja 5122 345
11 Dhofar 5122 685
12 Sohar Club 5122 295
13 Al Musannah 5113 564
14 Sur SC 5005 4140

Common opponents 6 opponents

How each team fared against the same recent opponents

OpponentBahlaAl-Nasr Salalah
Oman FC 1-0 W 0-0 D
Saham 0-1 L 2-0 W
Al Seeb 1-3 L 1-0 W
Samail 1-0 W 1-1 D
Al-Nahda 2-1 W 0-1 L
Sohar Club 1-1 D 0-1 L
Record vs common 3 W 1 D 2 L 2 W 2 D 2 L

Better against common opponents: Bahla (4 of 6 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.

Bahla

DDDLWWLLWW

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Date Opponent HT FT Cor.Cards Res.
18/10 Oman FC
Oman League
1-0 1-0 15 W
11/09 Sur SC
Oman League
0-1 3-1 24 W
05/09 Saham
Oman League
0-0 0-1 41 L
30/08 Al Seeb
Oman League
1-2 1-3 50 L
23/05 Samail
Oman League
1-0 1-0 46 W
18/05 Al-Nahda
Oman League
1-1 2-1 44 W
13/05 Al-Nasr Salalah
Oman League
1-1 1-3 55 L
02/05 Sohar Club
Oman League
1-1 1-1 77 D
27/04 Oman FC
Oman League
0-1 1-1 63 D
18/04 Al Khaburah
Oman League
0-0 0-0 64 D

Al-Nasr Salalah

DLLWDWWWWW

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Date Opponent HT FT Cor.Cards Res.
18/10 Al Seeb
Oman League
1-0 1-0 23 W
12/09 Al Musannah
Oman League
– 2-0 –– W
06/09 Dhofar
Oman League
2-1 2-1 105 W
30/08 Fanja
Oman League
2-0 2-0 44 W
23/05 Saham
Oman League
– 2-0 –– W
18/05 Samail
Oman League
0-0 1-1 82 D
13/05 Bahla
Oman League
1-1 3-1 45 W
04/05 Al-Nahda
Oman League
0-1 0-1 44 L
27/04 Sohar Club
Oman League
0-1 0-1 26 L
16/04 Oman FC
Oman League
0-0 0-0 64 D

Frequently asked questions

Who is the favourite in Bahla vs Al-Nasr Salalah?

According to our model, the most likely result is an Al-Nasr Salalah win (40%). Probabilities: Bahla 30%, draw 30%, Al-Nasr Salalah 40%.

How many goals are expected in Bahla vs Al-Nasr Salalah?

The model expects 2.44 goals (Bahla 1.12 · Al-Nasr Salalah 1.32), with a 57% chance of over 2 goals.

Will both teams score in Bahla vs Al-Nasr Salalah?

The model gives a 52% chance that both teams score.

What is the most likely score?

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