How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Amateur)

Stat	Per game	Total	Percentile in tier
Points	308.59	8949	57th
Goals	0.97	28	77th
Assists	0.48	14	57th
Saves	0.66	19	23rd
Shots	2.1	61	53rd
Demos	1.0	29	70th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	308.59	#709 / 1215	#20 / 61
Goals	0.97	#191 / 1215	#11 / 61
Assists	0.48	#589 / 1215	#20 / 61
Saves	0.66	#919 / 1215	#36 / 61
Demos	1.0	#387 / 1215	#12 / 61

69% of the season is played (29 → ~42 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	8949	12961	12927	12833 – 13021
Goals	28	41	40	35 – 45
Assists	14	20	20	16 – 24
Saves	19	28	28	24 – 33
Shots	61	88	88	80 – 96
Demos	29	42	41	36 – 46
MVPs	8	12	11	9 – 14

From 26 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	376.3
Avg boost	44.1
Boost stolen / game	444.9
% time at 0 boost	20.9%
Avg speed (uu/s)	1409.9
% supersonic	8.7%
% time high in air	2.4%
Avg distance to ball	2853.7
% time attacking third	23.0%
Demos / game	1.0
Demos taken / game	0.8
Shooting %	43.6%

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.71	0.75	0.65 – 0.8
Assists/game	0.59	0.55	0.45 – 0.59
Saves/game	0.47	0.72	0.6 – 0.82
Shots/game	2.12	2.25	2.0 – 2.39

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Rich-Rollin6060	S24	Amateur	0.79	0.52	0.4	0.79
Rich-Rollin6060	S23	Amateur	0.87	0.51	0.49	0.87
Stale Popcorn	S20	Prospect	0.65	0.45	0.72	1.13
Jayboaah	S26	Contender	0.88	0.53	0.59	1.21
Rich-Rollin6060	S25	Amateur	0.51	0.59	0.74	1.29
Trios	S22	Contender	0.73	0.64	0.55	1.46
xr.	S23	Challenger	0.44	0.62	0.72	1.54
Panda	S23	Rival	0.82	0.52	0.78	1.55
Tragic Event	S18	Rival	0.8	0.4	0.67	1.59
Emily26210	S23	Amateur	0.7	0.57	0.57	1.59

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.