Updated Tuesday Jan. 24
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 |
NapoliNAP50 pts
|
1.00 | - | 90.0 | 89% |
| 2 |
Inter MilanINT37 pts
|
2.00 | - | 75.5 | 5% |
| 3 |
AC MilanMIL38 pts
|
3.33 | - | 74.5 | 4% |
| 4 |
JuventusJUV23 pts
|
4.67 | - | 57.5 | <1% |
| 5 |
RomaROMA37 pts
|
5.00 | - | 71.0 | 2% |
| 6 |
AtalantaATA35 pts
|
5.00 | - | 68.0 | <1% |
| 7 |
LazioLAZ37 pts
|
7.00 | - | 67.5 | <1% |
| 8 |
FiorentinaFIO23 pts
|
8.33 | - | 50.5 | <1% |
| 9 |
TorinoTOR26 pts
|
9.00 | - | 51.5 | <1% |
| 10 |
UdineseUDI28 pts
|
9.67 | - | 53.5 | <1% |
| 11 |
BolognaBOL23 pts
|
12.33 | - | 45.0 | <1% |
| 12 |
SassuoloSAS17 pts
|
12.33 | - | 40.5 | <1% |
| 13 |
EmpoliEMP25 pts
|
13.67 | - | 45.5 | <1% |
| 14 |
MonzaMON22 pts
|
14.33 | - | 42.0 | <1% |
| 15 |
Hellas VeronaVER12 pts
|
15.00 | - | 33.0 | <1% |
| 16 |
SpeziaSPEZ18 pts
|
15.67 | ↑ 2 | 36.0 | <1% |
| 17 |
LecceLEC20 pts
|
16.00 | - | 39.5 | <1% |
| 18 |
SampdoriaSMP9 pts
|
17.00 | ↓ 2 | 26.5 | <1% |
| 19 |
CremoneseCRE8 pts
|
19.00 | - | 24.5 | <1% |
| 20 |
SalernitanaSAL18 pts
|
19.67 | - | 33.5 | <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 |
| AC MilanMIL | 3 | 4 | 3 | 3.33 |
| JuventusJUV | 5 | 5 | 4 | 4.67 |
| RomaROMA | 4 | 6 | 5 | 5.00 |
| AtalantaATA | 6 | 3 | 6 | 5.00 |
| LazioLAZ | 7 | 7 | 7 | 7.00 |
| FiorentinaFIO | 8 | 9 | 8 | 8.33 |
| TorinoTOR | 10 | 8 | 9 | 9.00 |
| UdineseUDI | 9 | 10 | 10 | 9.67 |
| BolognaBOL | 14 | 11 | 12 | 12.33 |
| SassuoloSAS | 11 | 15 | 11 | 12.33 |
| EmpoliEMP | 16 | 12 | 13 | 13.67 |
| MonzaMON | 12 | 13 | 18 | 14.33 |
| Hellas VeronaVER | 13 | 18 | 14 | 15.00 |
| SpeziaSPEZ | 17 | 14 | 16 | 15.67 |
| LecceLEC | 15 | 16 | 17 | 16.00 |
| SampdoriaSMP | 19 | 17 | 15 | 17.00 |
| CremoneseCRE | 18 | 19 | 20 | 19.00 |
| SalernitanaSAL | 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 |
| NapoliNAP | 1 | 1 | 1 | 0.000 |
| Inter MilanINT | 2 | 2 | 2 | 0.000 |
| LazioLAZ | 7 | 7 | 7 | 0.000 |
| SalernitanaSAL | 20 | 20 | 19 | 0.577 |
| UdineseUDI | 9 | 10 | 10 | 0.577 |
| FiorentinaFIO | 8 | 9 | 8 | 0.577 |
| JuventusJUV | 5 | 5 | 4 | 0.577 |
| AC MilanMIL | 3 | 4 | 3 | 0.577 |
| RomaROMA | 4 | 6 | 5 | 1.000 |
| TorinoTOR | 10 | 8 | 9 | 1.000 |
| CremoneseCRE | 18 | 19 | 20 | 1.000 |
| LecceLEC | 15 | 16 | 17 | 1.000 |
| BolognaBOL | 14 | 11 | 12 | 1.528 |
| SpeziaSPEZ | 17 | 14 | 16 | 1.528 |
| AtalantaATA | 6 | 3 | 6 | 1.732 |
| SampdoriaSMP | 19 | 17 | 15 | 2.000 |
| EmpoliEMP | 16 | 12 | 13 | 2.082 |
| SassuoloSAS | 11 | 15 | 11 | 2.309 |
| Hellas VeronaVER | 13 | 18 | 14 | 2.646 |
| MonzaMON | 12 | 13 | 18 | 3.215 |
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