Updated Monday Jun. 5
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 |
NapoliNAP90 pts
|
1.33 | - | 90.0 | >99% |
| 2 |
Inter MilanINT72 pts
|
1.67 | - | 72.0 | <1% |
| 3 |
AC MilanMIL70 pts
|
4.33 | ↑ 2 | 70.0 | <1% |
| 4 |
JuventusJUV62 pts
|
4.67 | ↓ 1 | 67.0 | <1% |
| 5 |
FiorentinaFIO56 pts
|
5.33 | ↑ 1 | 56.0 | <1% |
| 6 |
AtalantaATA64 pts
|
5.67 | ↑ 1 | 64.0 | <1% |
| 7 |
RomaROMA63 pts
|
6.00 | ↓ 3 | 63.0 | <1% |
| 8 |
LazioLAZ74 pts
|
7.33 | - | 74.0 | <1% |
| 9 |
TorinoTOR53 pts
|
9.00 | - | 53.0 | <1% |
| 10 |
BolognaBOL54 pts
|
9.67 | - | 54.0 | <1% |
| 11 |
SassuoloSAS45 pts
|
11.67 | - | 45.0 | <1% |
| 12 |
UdineseUDI46 pts
|
12.00 | - | 46.0 | <1% |
| 13 |
MonzaMON52 pts
|
13.00 | - | 52.0 | <1% |
| 14 |
EmpoliEMP43 pts
|
14.00 | - | 43.0 | <1% |
| 15 |
LecceLEC36 pts
|
15.00 | - | 36.0 | <1% |
| 16 |
SalernitanaSAL42 pts
|
16.67 | ↑ 2 | 42.0 | <1% |
| 17 |
Hellas VeronaVER31 pts
|
16.67 | - | 31.0 | <1% |
| 18 |
SpeziaSPEZ31 pts
|
17.33 | ↓ 2 | 31.0 | <1% |
| 19 |
CremoneseCRE27 pts
|
19.00 | - | 27.0 | <1% |
| 20 |
SampdoriaSMP19 pts
|
19.67 | - | 19.0 | <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 | 2 | 1.33 |
| Inter MilanINT | 2 | 2 | 1 | 1.67 |
| AC MilanMIL | 4 | 6 | 3 | 4.33 |
| JuventusJUV | 7 | 3 | 4 | 4.67 |
| FiorentinaFIO | 3 | 5 | 8 | 5.33 |
| AtalantaATA | 6 | 4 | 7 | 5.67 |
| RomaROMA | 5 | 8 | 5 | 6.00 |
| LazioLAZ | 9 | 7 | 6 | 7.33 |
| TorinoTOR | 8 | 10 | 9 | 9.00 |
| BolognaBOL | 10 | 9 | 10 | 9.67 |
| SassuoloSAS | 11 | 13 | 11 | 11.67 |
| UdineseUDI | 12 | 12 | 12 | 12.00 |
| MonzaMON | 14 | 11 | 14 | 13.00 |
| EmpoliEMP | 15 | 14 | 13 | 14.00 |
| LecceLEC | 13 | 15 | 17 | 15.00 |
| SalernitanaSAL | 18 | 16 | 16 | 16.67 |
| Hellas VeronaVER | 16 | 19 | 15 | 16.67 |
| SpeziaSPEZ | 17 | 17 | 18 | 17.33 |
| CremoneseCRE | 19 | 18 | 20 | 19.00 |
| SampdoriaSMP | 20 | 20 | 19 | 19.67 |
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 |
| UdineseUDI | 12 | 12 | 12 | 0.000 |
| NapoliNAP | 1 | 1 | 2 | 0.577 |
| SpeziaSPEZ | 17 | 17 | 18 | 0.577 |
| SampdoriaSMP | 20 | 20 | 19 | 0.577 |
| BolognaBOL | 10 | 9 | 10 | 0.577 |
| Inter MilanINT | 2 | 2 | 1 | 0.577 |
| CremoneseCRE | 19 | 18 | 20 | 1.000 |
| TorinoTOR | 8 | 10 | 9 | 1.000 |
| EmpoliEMP | 15 | 14 | 13 | 1.000 |
| SassuoloSAS | 11 | 13 | 11 | 1.155 |
| SalernitanaSAL | 18 | 16 | 16 | 1.155 |
| AtalantaATA | 6 | 4 | 7 | 1.528 |
| AC MilanMIL | 4 | 6 | 3 | 1.528 |
| LazioLAZ | 9 | 7 | 6 | 1.528 |
| RomaROMA | 5 | 8 | 5 | 1.732 |
| MonzaMON | 14 | 11 | 14 | 1.732 |
| LecceLEC | 13 | 15 | 17 | 2.000 |
| JuventusJUV | 7 | 3 | 4 | 2.082 |
| Hellas VeronaVER | 16 | 19 | 15 | 2.082 |
| FiorentinaFIO | 3 | 5 | 8 | 2.517 |
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