Stadio Benito Stirpe
Frosinone
L W D W W L
VS
xG 2.25 - 0.78
Salernitana
W L W L W W

Mathematical Predictions: Frosinone vs Salernitana

TOTAL GOALS
Over 2.5
Probability 58.30% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Frosinone team crest Frosinone Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Frosinone
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Cagliari X O2.5 1-0
01 Nov 26 vs Torino 1 O2.5 2-0
29 Oct 26 vs Lecce X U2.5 5-1
25 Oct 26 @ Atalanta 1 U2.5 4-4
16 Oct 26 vs Sassuolo 1 O2.5 4-2

Salernitana team crest Salernitana Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Salernitana
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Frosinone vs Salernitana

H2H, Match Stats & Analysis
Stadio Benito Stirpe
In their previous 4 head-to-head matches, Frosinone scored an average of 1.75 goals per match, compared to Salernitana 0.50 goals.
Over their last 10 matches, Frosinone scored an average of 2.67 and conceded 0.33, whereas Salernitana scored 0.33 and conceded 1.00.

What are the expected goals (xG) predicted in Frosinone vs Salernitana match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.25 for Frosinone and 0.78 for Salernitana. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 58.30%.

H2H - Frosinone vs. Salernitana

15 Jun 25
Frosinone
-
(HT -)
Salernitana
23 Feb 25
Salernitana
1 - 1
(HT 0-1)
Frosinone
26 Dec 24
Frosinone
2 - 0
(HT 0-0)
Salernitana
26 Apr 24
Frosinone
3 - 0
(HT 2-0)
Salernitana
22 Sep 23
Salernitana
1 - 1
(HT 0-1)
Frosinone

Team Form (Last 6)

Home Crest Frosinone

10 Oct @ Napoli 3-0
L
16 Oct vs Sassuolo 4-2
W
25 Oct @ Atalanta 4-4
D
29 Oct vs Lecce 5-1
W
01 Nov vs Torino 2-0
W
07 Nov @ Cagliari 1-0
L

Away Crest Salernitana

25 Apr vs Cosenza 3-1
W
01 May @ Spezia 2-0
L
04 May vs Mantova 2-0
W
09 May @ Sampdoria 1-0
L
13 May @ Cittadella 0-2
W
10 Aug vs Reggina 1-0
W

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.