Always on the scoresheet
0/10Inter scored in all of their last 10 (league 31% fail to score).
Inter vs Parma Prediction, Stats & Betting Tips
Serie A - Season 2026/2027 (Round 6)
Goal-fest alert
More goals than usual expected in Inter vs Parma
3.1goals expected · Serie A average 2.5
Since July 2025, games with an alert like this averaged 3.2 goals, and 62% went over 2.5.
Bookmakers: over 2.5 goals 71%
Inter vs Parma score prediction
Serie A
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Goal-fest alert3.1 goals expected
3.1 goals in total: more goals than a typical Serie A game (average 2.5).
goals expected
Inter2.4
Parma0.7Calculated 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.
Goal-fest alert: we expect at least 2.7 goals, clearly more than usual in this league (8.5% above the average). Since July 2025, these games averaged 3.2 goals, and 62% went over 2.5.
Bore draw alert: we expect 2.3 goals or fewer, clearly less than usual (11% below the average). These games averaged 2.2 goals, and 63% stayed under 2.5.
Bookmakers usually see these coming too, so use the alert to know what kind of game to expect, not as a betting edge.
How we measure →Get our AI football prediction and stats for Inter vs Parma: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Inter vs Parma — Our Model vs the Bookmakers
Market check · Serie A
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
Inter to win
Our model 77%Bookmakers 85%
Our track record
In 145 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 85.5% of the time (bookmakers said 81.0%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
No, not both
Our model 58%Bookmakers 56%
Our track record
In 5,501 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.8% of the time (bookmakers said 57.7%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 57%Bookmakers 71%
Our track record
In 5,144 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.7% of the time (bookmakers said 59.1%).
Over/Under 3.5 Goals →Disagrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 64%Bookmakers 50%
Our track record
In 223 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 46.6% of the time: closer to the bookmakers’ 46.8% than to our 60–65%.
First Half Result →Agrees with bookmakers
Our model’s pick
Inter ahead at half-time
Our model 66%Bookmakers 66%
Our track record
Too few similar matches in the last 12 months for a track record.
Inter Goals →Agrees with bookmakers
Our model’s pick
Inter 2+ goals
Our model 68%Bookmakers 81%
Our track record
In 2,627 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.9% of the time (bookmakers said 67.7%).
Parma Goals →Agrees with bookmakers
Our model’s pick
Parma 0–1 goals
Our model 90%Bookmakers 87%
Our track record
In 131 matches over the last 12 months where our model gave the same pick a 90–95% chance and the bookmakers agreed, it came true 87.8% of the time (bookmakers said 88.7%).
Odds can still move before kick-off. The track record uses closing odds.
Inter vs Parma — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Inter vs Parma. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Inter–
Parma–Winner
1 77%
BTTS*
No 58%
Correct Score
2-0 14%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 54%
Inter–Parma–Winner
1 77%
BTTS*
No 58%
Correct Score
2-0 14%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 54%
Full Time
177%
X16%
28%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 21% | 79% | 43% | 57% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 54% | 46% | 74% | 27% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 10% | 90% | 32% | 68% |
| 64% | 36% | 90% | 10% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 57% | 43% | 77% | 23% |
| 98% | 2% | 100% | 0% |
1st Half
166%
X26%
27%
1st Score
179%
X5%
216%
Half Time/Full Time
1-1
61%
X-1
19%
X-X
8%
2-1
3%
2-2
3%
1-X
2%
X-2
2%
2-X
2%
1-2
1%
Correct Score
2-0
13.6%
1-0
12.4%
3-0
10.3%
2-1
8.5%
1-1
7.1%
3-1
6.9%
0-0
5.5%
0-1
3.2%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Inter vs Parma: the stats that stand out
Serie A
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%Inter: always on the scoresheet and fast starters
0/10Fast starters
7/10Inter scored first in 7 of their last 10 (league 46%).
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 →Inter vs Parma: attack vs defence
Serie A
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 Serie A teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Inter: good attack, good defence (2.01 xG, 1.20 xGA a game)
- Parma: weak attack, weak defence (0.87 xG, 1.79 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 →Inter vs Parma form and luck check
Serie A
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 Serie A gamesBoth results in line with their chances
- InterBookmakers: 85% to win today.Clinical · +4 goals+0.9
- ParmaBookmakers: 4% to win today.+3.8
Last 5 matches
InterD
W
W
W
W
ParmaW
L
D
L
L
W
D
L
Strength rank: Inter 1st of 20 · Parma 19th of 20
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 20 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 →Inter vs Parma: Over 2.5 & BTTS?
Serie A
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 averagelast 10 Serie A gamesBTTS = both teams scoredBoth teams score in Inter games more often than the Serie A average (47%), in Parma games less often.
Over 2.5 goalsleague 48%
Inter7 of 10
Parma3 of 10
BTTSleague 47%
Inter7 of 10
Parma4 of 10
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 370 games played here in the last 12 months.
How we measure →Inter vs Parma corners, cards and goal times
Serie A
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 gameParma score late
Inter
Parma
5.9
Corners won · league 4.4
3.3
3.7
Corners conceded · league 4.4
6.5
1.4
Cards · league 1.9
1.5
1.6
Opponents' cards · league 1.9
1.7
35%
Goals before half-time · league 42%
13%
27%
Goals after 75' · league 23%
63%
50%
Conceded before half-time · league 42%
31%
21%
Conceded after 75' · league 23%
46%
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
Parma3/5
Inter4/5
Both Teams to Score
Parma3/5
Inter4/5
Over/Under 2.5 Goals
Parma3/5
Inter5/5
Over/Under 3.5 Goals
Parma5/5
Inter1/5
First Half Result
Parma2/5
Inter1/5
Correct Score
Parma1/5
Inter1/5
correct predictionwrong prediction