Hajduk Split’s potent attack should find a way through, but Istra’s leaky defense doesn’t mean a quiet night at the other end: the hosts have enough attacking threat at home to make their mark. Both teams to score looks the natural call in a lively contest.
Both Teams to ScoreYes
Best Pick
BTTS
54%
Correct Score
Top
1-1
12.4%
8.00
Top
0-1
9.9%
10.00
1-0
9%
17.00
1-2
8.6%
8.50
2-1
7.8%
15.00
0-0
7.2%
17.00
0-2
6.9%
10.00
2-0
5.6%
26.00
134%
4.10
X26%
3.70
240%
1.65TOP
1X60%
X266%
1274%
Combined Bet Builder
3 legs
Hajduk’s 1.48 xG and Istra’s leaky defence give the visitors a strong route to score, while Istra’s 1.08 xG keeps a home response in play. Their combined 2.56 xG points toward a lively contest, and 9.38 projected corners comfortably supports Over 8.5; over 2.5 goals and both teams to score look the logical build.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3Corners Over/UnderOver 8.5
Confirmed XI4-5-1
1
Kolic
44
Hrvatin
3
Nasraoui
4
Kumar
13
Šepić
5
Hodzic
25
Albarracín
22
Frederiksen
20
Ahmeti
30
Zuzic
9
Isaac
Impact Player Hot Head
NK Istra 196132 players
50.0/ 99Average
Top Rated
1Samuli MiettinenDEF76
2Charles Adah AgadaFWD74
3Filip TarabaDEF73
Hajduk Split35 players
51.0/ 99Average
Top Rated
1Hugo GuillamónMID92
2Alberto del MoralMID77
3Khalil FayadMID75
Player Rankings
Snipers
Top goal threats
1
Marko LivajaHajduk Split
77
2
Smail PrevljakNK Istra 1961
65
3
Charles Adah AgadaNK Istra 1961
64
4
Carlos MartínHajduk Split
60
5
Michele SegoHajduk Split
60
Wall
Top defenders
1
Raul KumarNK Istra 1961
74
2
Samuli MiettinenNK Istra 1961
71
3
Mohamed NasraouiNK Istra 1961
67
4
Dennis HadzikadunicHajduk Split
67
5
Filip TarabaNK Istra 1961
59
Control
Top playmakers
1
Hugo GuillamónHajduk Split
97
2
Khalil FayadHajduk Split
69
3
Filip KrovinovicHajduk Split
66
4
Adrion PajazitiHajduk Split
65
5
Josip RadosevicNK Istra 1961
64
Bad Boys
Most likely to get booked
1
Antonio MauricNK Istra 1961
1
Aggression 29
2
Zvonimir SarlijaHajduk Split
1
Aggression 59
3
Andjelo SutaloHajduk Split
1
Aggression 48
4
Abdoulie SanyangHajduk Split
1
Aggression 99
5
Niko ŠepićNK Istra 1961
3
Aggression 47
Power Rankings
Strongest overall
1
Hugo GuillamónHajduk Split
92
2
Alberto del MoralHajduk Split
77
3
Samuli MiettinenNK Istra 1961
76
4
Khalil FayadHajduk Split
75
5
Charles Adah AgadaNK Istra 1961
74
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for NK Istra 1961 vs Hajduk Split based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.
The Bet Builder combines multiple selections from the NK Istra 1961 vs Hajduk Split match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.
xG (expected goals) measures the quality of scoring chances. If NK Istra 1961 has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).
Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for NK Istra 1961 vs Hajduk Split without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.
A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives NK Istra 1961 a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.
AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.