Leaky
0/8Rudeš kept no clean sheet in their last 8 (league 28%).
Gorica vs Rudeš Prediction, Stats & Betting Tips
1. HNL - Season 2026/2027 (Round 9)
Clinical
Rudeš are scoring more goals than their chances (xG) usually bring
+4goals more than their chances (xG) in their last 8 with xG
80% of teams scoring this many more goals than their chances scored fewer in their next 10 games.
Bookmakers: Rudeš 18% to winGorica 58%
Gorica vs Rudeš score prediction
1. HNL
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Gorica expected to create clearly more
2.9 goals in total, a little over the 1. HNL average of 2.8.
goals expected
Gorica1.8Rudeš1.1Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Gorica vs Rudeš: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Gorica vs Rudeš — Our Model vs the Bookmakers
Market check · 1. HNL
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers
Our model’s pick
Gorica to win
Our model 38%Bookmakers 58%
Our track record
In 2,043 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 43.4% of the time (bookmakers said 43.8%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 53%Bookmakers 54%
Our track record
In 6,315 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).
Over/Under 2.5 Goals →Disagrees with bookmakers
Our model’s pick
Under 2.5 goals
Our model 53%Bookmakers 47%
Our track record
In 2,771 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 43.9% of the time: closer to the bookmakers’ 45.2% than to our 50–55%.
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 75%Bookmakers 68%
Our track record
In 3,602 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 76.3% of the time (bookmakers said 76.4%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 46%Bookmakers 40%
Our track record
In 495 matches over the last 12 months where our model gave the same pick a 45–50% chance but the bookmakers favoured a different outcome, it came true 37.2% of the time: closer to the bookmakers’ 38.9% than to our 45–50%.
Gorica Goals →Disagrees with bookmakers
Our model’s pick
Gorica 0–1 goals
Our model 64%Bookmakers 44%
Our track record
In 353 matches over the last 12 months where our model gave the same pick a 60–65% chance but the bookmakers favoured a different outcome, it came true 43.1% of the time: closer to the bookmakers’ 45.8% than to our 60–65%.
Rudeš Goals →Agrees with bookmakers
Our model’s pick
Rudeš 0–1 goals
Our model 66%Bookmakers 75%
Our track record
In 3,162 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 67.8%).
Odds can still move before kick-off. The track record uses closing odds.
Gorica vs Rudeš — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Gorica vs Rudeš. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Gorica–
Rudeš–Winner
12 73%
BTTS*
Yes 53%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Gorica–Rudeš–Winner
12 73%
BTTS*
Yes 53%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Full Time
138%
X27%
235%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 28% | 72% | 53% | 47% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 65% | 35% | 87% | 13% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 30% | 70% | 64% | 36% |
| 32% | 68% | 66% | 34% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 86% | 14% | 96% | 4% |
| 88% | 12% | 96% | 4% |
1st Half
125%
X46%
228%
1st Score
145%
X8%
246%
Half Time/Full Time
2-2
21%
1-1
18%
X-X
18%
X-2
14%
X-1
13%
2-X
6%
1-X
5%
2-1
3%
1-2
2%
Correct Score
1-1
12.9%
1-0
10.3%
0-1
9.8%
2-1
8.6%
0-0
8.4%
1-2
7.7%
2-0
6.0%
0-2
5.7%
2-2
5.4%
3-1
3.4%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Gorica vs Rudeš: the stats that stand out
1. HNL
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Rudeš: leaky and always chasing · Gorica: shot-shy
0/8Always chasing
6/8Rudeš conceded first in 6 of their last 8 (league 46%).
Shot-shy
5/10Gorica failed to score in 5 of their last 10 (league 28%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Gorica vs Rudeš: attack vs defence
1. HNL
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other 1. HNL teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Gorica: weak attack, weak defence (0.98 xG, 1.80 xGA a game)
- Rudeš: weak attack, weak defence (0.86 xG, 2.16 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Gorica vs Rudeš form and luck check
1. HNL
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 1. HNL gamesBoth results in line with their chances
- GoricaBookmakers: 58% to win today.+1.0
- RudešBookmakers: 18% to win today. · 8 of 10 gamesClinical · +4 goals+0.3
Last 5 matches
GoricaW
D
L
D
L
RudešD
L
L
L
W
W
D
L
Strength rank: Gorica 8th of 10 · Rudeš 10th of 10
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
Strength rank: we rank this season's 10 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Gorica vs Rudeš: Over 2.5 & BTTS?
1. HNL
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averageup to 10 recent 1. HNL gamesBTTS = both teams scoredRudeš games go over 2.5 goals more often than the 1. HNL average (51%), Gorica games less often.
Over 2.5 goalsleague 51%
Gorica3 of 10
Rudeš7 of 8
BTTSleague 52%
Gorica3 of 10
Rudeš5 of 8
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 174 games played here in the last 12 months.
How we measure →Gorica vs Rudeš corners, cards and goal times
1. HNL
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gameRudeš: last 8 with these statsBoth sides score late
Gorica
Rudeš
2.8
Corners won · league 4.7
3.5
6.2
Corners conceded · league 4.7
6.6
1.7
Cards · league 2.1
2.4
2.2
Opponents' cards · league 2.1
1.0
29%
Goals before half-time · league 48%
10%
43%
Goals after 75' · league 20%
40%
57%
Conceded before half-time · league 48%
50%
29%
Conceded after 75' · league 20%
17%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Rudeš3/5
Gorica2/5
Both Teams to Score
Rudeš3/5
Gorica2/5
Over/Under 2.5 Goals
Rudeš4/5
Gorica2/5
Over/Under 3.5 Goals
Rudeš1/5
Gorica4/5
First Half Result
Rudeš3/5
Gorica4/5
Correct Score
Rudeš0/5
Gorica0/5
correct predictionwrong prediction