Updated Wednesday Nov. 9
2022 Composite Serie A Rankings
Calculated by aggregating computer generated power rankings from around the web and determining each team’s average ranking.
| TEAM | AVERAGE RANKINGAVG |
1-WEEK MOVE |
PROJECTED POINTS |
WIN LEAGUE |
|
|---|---|---|---|---|---|
| 1 |
NapoliNAP38 pts
|
1.00 | - | 88.0 | 69% |
| 2 |
Inter MilanINT27 pts
|
2.00 | - | 76.0 | 10% |
| 3 |
AC MilanMIL30 pts
|
3.00 | - | 77.0 | 11% |
| 4 |
JuventusJUV28 pts
|
4.67 | ↑ 2 | 70.0 | 4% |
| 5 |
RomaROMA26 pts
|
5.00 | - | 68.5 | 2% |
| 6 |
AtalantaATA27 pts
|
5.33 | ↓ 2 | 68.0 | 2% |
| 7 |
LazioLAZ30 pts
|
7.33 | - | 69.5 | 2% |
| 8 |
FiorentinaFIO19 pts
|
8.33 | - | 55.0 | 1% |
| 9 |
TorinoTOR20 pts
|
9.33 | - | 52.0 | <1% |
| 10 |
UdineseUDI24 pts
|
9.67 | - | 56.0 | <1% |
| 11 |
SassuoloSAS16 pts
|
10.33 | - | 48.5 | <1% |
| 12 |
BolognaBOL16 pts
|
12.33 | - | 43.5 | <1% |
| 13 |
MonzaMON13 pts
|
15.33 | ↑ 2 | 36.5 | <1% |
| 14 |
Hellas VeronaVER5 pts
|
15.33 | - | 32.0 | <1% |
| 15 |
EmpoliEMP14 pts
|
15.67 | ↑ 1 | 37.5 | <1% |
| 16 |
SampdoriaSMP6 pts
|
16.33 | ↓ 3 | 29.5 | <1% |
| 17 |
LecceLEC12 pts
|
16.67 | ↑ 2 | 35.5 | <1% |
| 18 |
SpeziaSPEZ10 pts
|
16.67 | - | 31.5 | <1% |
| 19 |
SalernitanaSAL17 pts
|
17.33 | ↓ 2 | 37.5 | <1% |
| 20 |
CremoneseCRE7 pts
|
18.33 | - | 29.0 | <1% |
How We Calculate: Our Serie A Composite Power Rankings are calculated by aggregating computer rankings from around the web and determining each team’s average ranking. Up or down movement within our rankings versus the previous week is provided for each team. Some of these sites also project teams’ future success. We collect this info and calculate each team’s average total points projection and Serie A title odds.
Our heat chart below shows how each of the three sites we pull from ranks all 20 teams. We pull from FiveThirtyEight (538), Massey Ratings (MY) and Euro Club Index (ECI).
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | AVERAGEAVG |
| NapoliNAP | 1 | 1 | 1 | 1.00 |
| Inter MilanINT | 2 | 2 | 2 | 2.00 |
| AC MilanMIL | 3 | 3 | 3 | 3.00 |
| JuventusJUV | 5 | 5 | 4 | 4.67 |
| RomaROMA | 4 | 6 | 5 | 5.00 |
| AtalantaATA | 6 | 4 | 6 | 5.33 |
| LazioLAZ | 8 | 7 | 7 | 7.33 |
| FiorentinaFIO | 7 | 10 | 8 | 8.33 |
| TorinoTOR | 10 | 8 | 10 | 9.33 |
| UdineseUDI | 9 | 9 | 11 | 9.67 |
| SassuoloSAS | 11 | 11 | 9 | 10.33 |
| BolognaBOL | 13 | 12 | 12 | 12.33 |
| MonzaMON | 14 | 13 | 19 | 15.33 |
| Hellas VeronaVER | 12 | 20 | 14 | 15.33 |
| EmpoliEMP | 20 | 14 | 13 | 15.67 |
| SampdoriaSMP | 17 | 17 | 15 | 16.33 |
| LecceLEC | 15 | 18 | 17 | 16.67 |
| SpeziaSPEZ | 19 | 15 | 16 | 16.67 |
| SalernitanaSAL | 18 | 16 | 18 | 17.33 |
| CremoneseCRE | 16 | 19 | 20 | 18.33 |
Standard deviation is a statistical tool used to measure the variance within a set of numbers. In the table below, we use standard deviation to determine which teams are ranked the most and least consistently. A low number indicates that a team is ranked consistently across the five sites we pull from. A high number indicates an inconsistently ranked team.
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | STAN DEVSTDEV |
| NapoliNAP | 1 | 1 | 1 | 0.000 |
| Inter MilanINT | 2 | 2 | 2 | 0.000 |
| AC MilanMIL | 3 | 3 | 3 | 0.000 |
| JuventusJUV | 5 | 5 | 4 | 0.577 |
| BolognaBOL | 13 | 12 | 12 | 0.577 |
| LazioLAZ | 8 | 7 | 7 | 0.577 |
| RomaROMA | 4 | 6 | 5 | 1.000 |
| SampdoriaSMP | 17 | 17 | 15 | 1.155 |
| SalernitanaSAL | 18 | 16 | 18 | 1.155 |
| SassuoloSAS | 11 | 11 | 9 | 1.155 |
| UdineseUDI | 9 | 9 | 11 | 1.155 |
| TorinoTOR | 10 | 8 | 10 | 1.155 |
| AtalantaATA | 6 | 4 | 6 | 1.155 |
| LecceLEC | 15 | 18 | 17 | 1.528 |
| FiorentinaFIO | 7 | 10 | 8 | 1.528 |
| SpeziaSPEZ | 19 | 15 | 16 | 2.082 |
| CremoneseCRE | 16 | 19 | 20 | 2.082 |
| MonzaMON | 14 | 13 | 19 | 3.215 |
| EmpoliEMP | 20 | 14 | 13 | 3.786 |
| Hellas VeronaVER | 12 | 20 | 14 | 4.163 |
Follow Us
