Updated Monday Mar. 20
2023 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 |
NapoliNAP71 pts
|
1.00 | - | 94.5 | >99% |
| 2 |
Inter MilanINT50 pts
|
2.00 | - | 71.0 | <1% |
| 3 |
JuventusJUV41 pts
|
3.00 | - | 61.0 | <1% |
| 4 |
AC MilanMIL48 pts
|
5.00 | - | 68.0 | <1% |
| 5 |
FiorentinaFIO37 pts
|
5.33 | ↑ 2 | 54.0 | <1% |
| 6 |
RomaROMA47 pts
|
5.67 | ↓ 1 | 66.0 | <1% |
| 7 |
AtalantaATA45 pts
|
6.33 | ↓ 1 | 64.0 | <1% |
| 8 |
LazioLAZ52 pts
|
7.67 | - | 69.5 | <1% |
| 9 |
TorinoTOR37 pts
|
9.67 | - | 52.0 | <1% |
| 10 |
UdineseUDI38 pts
|
10.33 | - | 53.0 | <1% |
| 11 |
SassuoloSAS36 pts
|
10.67 | - | 51.5 | <1% |
| 12 |
BolognaBOL37 pts
|
11.33 | - | 49.5 | <1% |
| 13 |
EmpoliEMP28 pts
|
14.33 | ↑ 1 | 39.5 | <1% |
| 14 |
MonzaMON34 pts
|
14.33 | ↓ 1 | 43.5 | <1% |
| 15 |
LecceLEC27 pts
|
15.67 | - | 38.5 | <1% |
| 16 |
Hellas VeronaVER19 pts
|
16.33 | - | 29.0 | <1% |
| 17 |
SpeziaSPEZ24 pts
|
16.67 | - | 34.5 | <1% |
| 18 |
SampdoriaSMP15 pts
|
17.00 | ↑ 1 | 25.5 | <1% |
| 19 |
CremoneseCRE13 pts
|
18.33 | ↓ 1 | 23.5 | <1% |
| 20 |
SalernitanaSAL27 pts
|
19.33 | - | 35.5 | <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 |
| JuventusJUV | 3 | 3 | 3 | 3.00 |
| AC MilanMIL | 6 | 5 | 4 | 5.00 |
| FiorentinaFIO | 4 | 4 | 8 | 5.33 |
| RomaROMA | 5 | 7 | 5 | 5.67 |
| AtalantaATA | 7 | 6 | 6 | 6.33 |
| LazioLAZ | 8 | 8 | 7 | 7.67 |
| TorinoTOR | 10 | 9 | 10 | 9.67 |
| UdineseUDI | 9 | 11 | 11 | 10.33 |
| SassuoloSAS | 11 | 12 | 9 | 10.67 |
| BolognaBOL | 12 | 10 | 12 | 11.33 |
| EmpoliEMP | 16 | 14 | 13 | 14.33 |
| MonzaMON | 13 | 13 | 17 | 14.33 |
| LecceLEC | 14 | 15 | 18 | 15.67 |
| Hellas VeronaVER | 15 | 20 | 14 | 16.33 |
| SpeziaSPEZ | 19 | 16 | 15 | 16.67 |
| SampdoriaSMP | 18 | 17 | 16 | 17.00 |
| CremoneseCRE | 17 | 18 | 20 | 18.33 |
| SalernitanaSAL | 20 | 19 | 19 | 19.33 |
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 |
| JuventusJUV | 3 | 3 | 3 | 0.000 |
| SalernitanaSAL | 20 | 19 | 19 | 0.577 |
| TorinoTOR | 10 | 9 | 10 | 0.577 |
| LazioLAZ | 8 | 8 | 7 | 0.577 |
| AtalantaATA | 7 | 6 | 6 | 0.577 |
| AC MilanMIL | 6 | 5 | 4 | 1.000 |
| SampdoriaSMP | 18 | 17 | 16 | 1.000 |
| RomaROMA | 5 | 7 | 5 | 1.155 |
| UdineseUDI | 9 | 11 | 11 | 1.155 |
| BolognaBOL | 12 | 10 | 12 | 1.155 |
| CremoneseCRE | 17 | 18 | 20 | 1.528 |
| SassuoloSAS | 11 | 12 | 9 | 1.528 |
| EmpoliEMP | 16 | 14 | 13 | 1.528 |
| LecceLEC | 14 | 15 | 18 | 2.082 |
| SpeziaSPEZ | 19 | 16 | 15 | 2.082 |
| FiorentinaFIO | 4 | 4 | 8 | 2.309 |
| MonzaMON | 13 | 13 | 17 | 2.309 |
| Hellas VeronaVER | 15 | 20 | 14 | 3.215 |
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