Football statistics for San Tommaso

Team Info

Season

Country

2019/20

Italy

Competition

Italy

Serie D Group I

Summary Match Results Standings

Table Corners Cards 1st Half 2nd Half Over Under Goals Clean Sheet BTTS Match Scoring / Conceding First

Over 2.5
Over 0.5
Over 1.5
Over 3.5
Over 4.5
Over 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	10	38%	57%	17%
2	Messina	26	11	42%	38%	46%
3	Savoia	26	9	35%	50%	17%
4	Acireale	26	15	58%	62%	54%
5	SSC Giugliano	26	12	46%	64%	25%
6	Cittanovese	26	13	50%	46%	54%
7	Biancavilla	26	10	38%	38%	38%
8	Castrovillari	26	14	54%	31%	77%
9	Palmese	26	11	42%	62%	23%
10	FC Messina	26	10	38%	31%	46%
11	Licata	26	11	42%	46%	38%
12	Marina di Ragusa	26	9	35%	25%	43%
13	Nola 1925	26	10	38%	23%	54%
14	Marsala	26	11	42%	33%	50%
15	Roccella	26	5	19%	17%	21%
16	Corigliano Calabro	26	13	50%	38%	62%
17	San Tommaso	26	13	50%	46%	54%
18	Troina	26	9	35%	38%	31%

#	Team	MP	Over 0.5	Overall	Home	Away
1	Palermo	26	24	92%	93%	92%
2	Messina	26	24	92%	92%	92%
3	Savoia	26	22	85%	86%	83%
4	Acireale	26	25	96%	92%	100%
5	SSC Giugliano	26	24	92%	100%	83%
6	Cittanovese	26	24	92%	85%	100%
7	Biancavilla	26	23	88%	85%	92%
8	Castrovillari	26	24	92%	92%	92%
9	Palmese	26	22	85%	85%	85%
10	FC Messina	26	24	92%	100%	85%
11	Licata	26	24	92%	85%	100%
12	Marina di Ragusa	26	24	92%	100%	86%
13	Nola 1925	26	25	96%	100%	92%
14	Marsala	26	23	88%	92%	86%
15	Roccella	26	23	88%	75%	100%
16	Corigliano Calabro	26	24	92%	92%	92%
17	San Tommaso	26	24	92%	92%	92%
18	Troina	26	25	96%	100%	92%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Palermo	26	15	58%	71%	42%
2	Messina	26	17	65%	62%	69%
3	Savoia	26	17	65%	71%	58%
4	Acireale	26	19	73%	77%	69%
5	SSC Giugliano	26	18	69%	86%	50%
6	Cittanovese	26	19	73%	62%	85%
7	Biancavilla	26	17	65%	54%	77%
8	Castrovillari	26	22	85%	77%	92%
9	Palmese	26	17	65%	77%	54%
10	FC Messina	26	18	69%	69%	69%
11	Licata	26	18	69%	69%	69%
12	Marina di Ragusa	26	15	58%	50%	64%
13	Nola 1925	26	18	69%	54%	85%
14	Marsala	26	15	58%	58%	57%
15	Roccella	26	15	58%	58%	57%
16	Corigliano Calabro	26	19	73%	54%	92%
17	San Tommaso	26	19	73%	85%	62%
18	Troina	26	12	46%	54%	38%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Palermo	26	8	31%	50%	8%
2	Messina	26	5	19%	15%	23%
3	Savoia	26	5	19%	29%	8%
4	Acireale	26	10	38%	46%	31%
5	SSC Giugliano	26	7	27%	36%	17%
6	Cittanovese	26	7	27%	15%	38%
7	Biancavilla	26	4	15%	23%	8%
8	Castrovillari	26	10	38%	31%	46%
9	Palmese	26	9	35%	46%	23%
10	FC Messina	26	3	12%	8%	15%
11	Licata	26	7	27%	31%	23%
12	Marina di Ragusa	26	3	12%	17%	7%
13	Nola 1925	26	5	19%	8%	31%
14	Marsala	26	7	27%	25%	29%
15	Roccella	26	3	12%	8%	14%
16	Corigliano Calabro	26	9	35%	23%	46%
17	San Tommaso	26	9	35%	15%	54%
18	Troina	26	5	19%	15%	23%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Palermo	26	4	15%	21%	8%
2	Messina	26	2	8%	8%	8%
3	Savoia	26	2	8%	14%	0%
4	Acireale	26	5	19%	31%	8%
5	SSC Giugliano	26	4	15%	21%	8%
6	Cittanovese	26	4	15%	8%	23%
7	Biancavilla	26	1	4%	8%	0%
8	Castrovillari	26	6	23%	15%	31%
9	Palmese	26	8	31%	38%	23%
10	FC Messina	26	1	4%	0%	8%
11	Licata	26	4	15%	23%	8%
12	Marina di Ragusa	26	0	0%	0%	0%
13	Nola 1925	26	3	12%	8%	15%
14	Marsala	26	3	12%	8%	14%
15	Roccella	26	2	8%	0%	14%
16	Corigliano Calabro	26	8	31%	23%	38%
17	San Tommaso	26	5	19%	15%	23%
18	Troina	26	4	15%	8%	23%

#	Team	MP	Over 1.5	Overall	Home	Away
1	Palermo	26	2	8%	7%	8%
2	Messina	26	0	0%	0%	0%
3	Savoia	26	1	4%	7%	0%
4	Acireale	26	2	8%	8%	8%
5	SSC Giugliano	26	1	4%	7%	0%
6	Cittanovese	26	1	4%	8%	0%
7	Biancavilla	26	0	0%	0%	0%
8	Castrovillari	26	3	12%	8%	15%
9	Palmese	26	2	8%	15%	0%
10	FC Messina	26	1	4%	0%	8%
11	Licata	26	2	8%	15%	0%
12	Marina di Ragusa	26	0	0%	0%	0%
13	Nola 1925	26	1	4%	0%	8%
14	Marsala	26	2	8%	8%	7%
15	Roccella	26	0	0%	0%	0%
16	Corigliano Calabro	26	4	15%	8%	23%
17	San Tommaso	26	1	4%	8%	0%
18	Troina	26	3	12%	0%	23%

Under 2.5
Under 0.5
Under 1.5
Under 3.5
Under 4.5
Under 5.5

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	16	62%	43%	83%
2	Messina	26	15	58%	62%	54%
3	Savoia	26	17	65%	50%	83%
4	Acireale	26	11	42%	38%	46%
5	SSC Giugliano	26	14	54%	36%	75%
6	Cittanovese	26	13	50%	54%	46%
7	Biancavilla	26	16	62%	62%	62%
8	Castrovillari	26	12	46%	69%	23%
9	Palmese	26	15	58%	38%	77%
10	FC Messina	26	16	62%	69%	54%
11	Licata	26	15	58%	54%	62%
12	Marina di Ragusa	26	17	65%	75%	57%
13	Nola 1925	26	16	62%	77%	46%
14	Marsala	26	15	58%	67%	50%
15	Roccella	26	21	81%	83%	79%
16	Corigliano Calabro	26	13	50%	62%	38%
17	San Tommaso	26	13	50%	54%	46%
18	Troina	26	17	65%	62%	69%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	2	8%	7%	8%
2	Messina	26	2	8%	8%	8%
3	Savoia	26	4	15%	14%	17%
4	Acireale	26	1	4%	8%	0%
5	SSC Giugliano	26	2	8%	0%	17%
6	Cittanovese	26	2	8%	15%	0%
7	Biancavilla	26	3	12%	15%	8%
8	Castrovillari	26	2	8%	8%	8%
9	Palmese	26	4	15%	15%	15%
10	FC Messina	26	2	8%	0%	15%
11	Licata	26	2	8%	15%	0%
12	Marina di Ragusa	26	2	8%	0%	14%
13	Nola 1925	26	1	4%	0%	8%
14	Marsala	26	3	12%	8%	14%
15	Roccella	26	3	12%	25%	0%
16	Corigliano Calabro	26	2	8%	8%	8%
17	San Tommaso	26	2	8%	8%	8%
18	Troina	26	1	4%	0%	8%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	11	42%	29%	58%
2	Messina	26	9	35%	38%	31%
3	Savoia	26	9	35%	29%	42%
4	Acireale	26	7	27%	23%	31%
5	SSC Giugliano	26	8	31%	14%	50%
6	Cittanovese	26	7	27%	38%	15%
7	Biancavilla	26	9	35%	46%	23%
8	Castrovillari	26	4	15%	23%	8%
9	Palmese	26	9	35%	23%	46%
10	FC Messina	26	8	31%	31%	31%
11	Licata	26	8	31%	31%	31%
12	Marina di Ragusa	26	11	42%	50%	36%
13	Nola 1925	26	8	31%	46%	15%
14	Marsala	26	11	42%	42%	43%
15	Roccella	26	11	42%	42%	43%
16	Corigliano Calabro	26	7	27%	46%	8%
17	San Tommaso	26	7	27%	15%	38%
18	Troina	26	14	54%	46%	62%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	18	69%	50%	92%
2	Messina	26	21	81%	85%	77%
3	Savoia	26	21	81%	71%	92%
4	Acireale	26	16	62%	54%	69%
5	SSC Giugliano	26	19	73%	64%	83%
6	Cittanovese	26	19	73%	85%	62%
7	Biancavilla	26	22	85%	77%	92%
8	Castrovillari	26	16	62%	69%	54%
9	Palmese	26	17	65%	54%	77%
10	FC Messina	26	23	88%	92%	85%
11	Licata	26	19	73%	69%	77%
12	Marina di Ragusa	26	23	88%	83%	93%
13	Nola 1925	26	21	81%	92%	69%
14	Marsala	26	19	73%	75%	71%
15	Roccella	26	23	88%	92%	86%
16	Corigliano Calabro	26	17	65%	77%	54%
17	San Tommaso	26	17	65%	85%	46%
18	Troina	26	21	81%	85%	77%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	22	85%	79%	92%
2	Messina	26	24	92%	92%	92%
3	Savoia	26	24	92%	86%	100%
4	Acireale	26	21	81%	69%	92%
5	SSC Giugliano	26	22	85%	79%	92%
6	Cittanovese	26	22	85%	92%	77%
7	Biancavilla	26	25	96%	92%	100%
8	Castrovillari	26	20	77%	85%	69%
9	Palmese	26	18	69%	62%	77%
10	FC Messina	26	25	96%	100%	92%
11	Licata	26	22	85%	77%	92%
12	Marina di Ragusa	26	26	100%	100%	100%
13	Nola 1925	26	23	88%	92%	85%
14	Marsala	26	23	88%	92%	86%
15	Roccella	26	24	92%	100%	86%
16	Corigliano Calabro	26	18	69%	77%	62%
17	San Tommaso	26	21	81%	85%	77%
18	Troina	26	22	85%	92%	77%

#	Team	MP	Over 2.5	Overall	Home	Away
1	Palermo	26	24	92%	93%	92%
2	Messina	26	26	100%	100%	100%
3	Savoia	26	25	96%	93%	100%
4	Acireale	26	24	92%	92%	92%
5	SSC Giugliano	26	25	96%	93%	100%
6	Cittanovese	26	25	96%	92%	100%
7	Biancavilla	26	26	100%	100%	100%
8	Castrovillari	26	23	88%	92%	85%
9	Palmese	26	24	92%	85%	100%
10	FC Messina	26	25	96%	100%	92%
11	Licata	26	24	92%	85%	100%
12	Marina di Ragusa	26	26	100%	100%	100%
13	Nola 1925	26	25	96%	100%	92%
14	Marsala	26	24	92%	92%	93%
15	Roccella	26	26	100%	100%	100%
16	Corigliano Calabro	26	22	85%	92%	77%
17	San Tommaso	26	25	96%	92%	100%
18	Troina	26	23	88%	100%	77%

Average goals scored and conceded: San Tommaso

Knowing San Tommaso’s averages in terms of goals scored and conceded is instrumental in understanding how the team is performing in the Serie D Group I 2019/2020 on both ends of the pitch.

Check out some of the San Tommaso’s over/under numbers and goal rates below:

50% of San Tommaso games in the league have had 3 or more goals (San Tommaso and opponent goals, combined). The percentage of games where matches have had 2 or fewer goals is 50%.

This page can filter the number of goals, from above or below 0.5 goals to 5.5 goals. You can also sort them in ascending and descending order based on the number of times it has occurred, as well as their frequency at home, away from home, and overall in Serie D Group I.

All of this information can help determine how San Tommaso’s offence and defence are performing throughout the season. If the goal rate during matches is high, it is important to determine the cause of such a lot of goals going in.

However, it is important to remember that goal percentage statistics cannot be analysed in isolation. Instead, they should be considered alongside several other factors, such as tactics, personnel moves, and others.