| Rank | Overall | Change | SOS (Rank) | Standard (Rank) | Inference (Rank) | Vegas (Rank) |
|---|---|---|---|---|---|---|
| 1. Philadelphia Union (16-6-5) | 0.3168 | - | 0.0222 (11) | 0.3870 (1) | 0.4692 (1) | 0.0950 (8) |
| 2. Columbus Crew (16-6-6) | 0.2935 | +1 | 0.0068 (14) | 0.3500 (2) | 0.4040 (2) | 0.1271 (6) |
| 3. New York City (13-9-4) | 0.2502 | +1 | 0.0383 (5) | 0.1888 (8) | 0.3190 (5) | 0.2428 (3) |
| 4. Seattle Sounders (14-7-6) | 0.2384 | -2 | -0.0096 (18) | 0.3164 (3) | 0.1461 (8) | 0.2527 (2) |
| 5. Orlando City (13-6-10) | 0.2028 | - | 0.0048 (13) | 0.1899 (7) | 0.3241 (4) | 0.0948 (9) |
| 6. New England Revolution (11-9-8) | 0.1798 | +1 | 0.0249 (7) | 0.0975 (13) | 0.3549 (3) | 0.0875 (10) |
| 7. Portland Timbers (14-6-8) | 0.1740 | -1 | -0.0080 (15) | 0.3094 (4) | 0.1390 (9) | 0.0740 (11) |
| 8. Minnesota United (12-7-8) | 0.1582 | +1 | 0.0127 (10) | 0.2160 (6) | 0.2708 (6) | -0.0118 (16) |
| 9. Toronto FC (13-7-5) | 0.1566 | +1 | -0.0603 (18) | 0.1742 (9) | 0.1172 (10) | 0.1785 (5) |
| 10. Los Angeles FC (10-9-6) | 0.1468 | -2 | -0.0129 (14) | 0.1167 (12) | -0.0786 (16) | 0.4015 (1) |
| 11. Sporting Kansas City (13-8-4) | 0.1449 | - | -0.0246 (15) | 0.2278 (5) | 0.0237 (12) | 0.1832 (4) |
| 12. FC Dallas (9-7-8) | 0.0777 | - | 0.0505 (3) | 0.1391 (10) | 0.1101 (11) | -0.0158 (17) |
| 13. Nashville SC (10-8-8) | 0.0642 | - | 0.0214 (8) | 0.0603 (14) | 0.2521 (7) | -0.1192 (22) |
| 14. Colorado Rapids (8-7-4) | 0.0019 | - | 0.0094 (8) | 0.1177 (11) | -0.1098 (17) | -0.0022 (15) |
| 15. New York Red Bulls (9-10-5) | -0.0272 | - | -0.0066 (10) | -0.0883 (16) | -0.0190 (13) | 0.0254 (13) |
| 16. Chicago Fire (5-10-8) | -0.0615 | - | 0.0349 (4) | -0.1760 (19) | -0.0415 (14) | 0.0329 (12) |
| 17. Houston Dynamo (4-10-9) | -0.0940 | +1 | 0.0674 (1) | -0.1400 (18) | -0.0602 (15) | -0.0820 (20) |
| 18. San Jose Earthquakes (9-10-7) | -0.1012 | -1 | 0.0001 (6) | 0.0376 (15) | -0.2333 (21) | -0.1080 (21) |
| 19. Real Salt Lake (5-11-7) | -0.1568 | - | 0.0288 (3) | -0.1351 (17) | -0.3172 (23) | -0.0187 (18) |
| 20. Inter Miami CF (7-14-3) | -0.1607 | - | 0.0248 (3) | -0.3852 (24) | -0.2089 (20) | 0.1114 (7) |
| 21. Atlanta United (6-13-4) | -0.2013 | - | -0.0287 (6) | -0.4152 (25) | -0.1131 (18) | -0.0759 (19) |
| 22. Los Angeles Galaxy (6-12-4) | -0.2428 | - | -0.0151 (5) | -0.2441 (20) | -0.5043 (26) | 0.0193 (14) |
| 23. Montreal Impact (8-15-2) | -0.2880 | - | 0.0470 (2) | -0.3016 (22) | -0.1986 (19) | -0.3635 (25) |
| 24. D.C. United (5-12-6) | -0.3191 | - | 0.0237 (2) | -0.3070 (23) | -0.3457 (24) | -0.3046 (23) |
| 25. FC Cincinnati (4-15-5) | -0.3630 | - | 0.0622 (1) | -0.4465 (26) | -0.3068 (22) | -0.3358 (24) |
| 26. Vancouver Whitecaps (9-15-0) | -0.3961 | - | -0.0064 (1) | -0.2927 (21) | -0.3930 (25) | -0.5023 (26) |
Ratings Over Time
Ratings Methodology
Below are listed the current MLS Soccer computer ratings as computed by the Donchess Inference Index. The MLS ratings will be updated every week during the season. More information on how these MLS soccer computer ratings are computed can be found on the Methodology page.
- DII Rating: This is a MLS soccer rankings system that is a combination of the Standard Rating and the Aegis Rating. The Aegis Rating is weighted more highly in the beginning of the season whereas the Standard Rating is weighted more highly at the end of the season. This is the final rating that is used to rank the teams.
- Standard Rating: Looks at game outcome and score differential only. Record is the most important factor in this rating system.
- Inference Rating: Heavily weights the outcomes of opponents’ games. This is system is a much better predictor of future game outcomes.
- Vegas Rating: A rating system based on what the Vegas line is on each game. This rating system is a strong predictor of future games, but does not heavily weight the outcomes of previous games. This rating is used for predictions, but not used for the overall rating.
For our daily predictions on all the games, see MLS Soccer Predictions.
Related Blog Posts
2021 March Madness Breakdown
Our breakdowns for each of the brackets in the 2021 NCAA Tournament.
Strategy For Building a Winning Parlay Bet
Although they are typically regarded as sucker bets for casual bettors, one can make money betting into parlays.
What is Closing Line Value (CLV) and How Do You Calculate It?
What metric should be used to determine who the good sports bettors are?
A Quick Primer on Bet Value
A quick explianer of the three graphics that are used to describe Bet Value.
Explaining the Kelly Criterion for Sports Betting
Though originally created for financial portfolios, it has been borrowed by the sports betting community for bet size management.