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 Contender)

Stat	Per game	Total	Percentile in tier
Points	369.92	8878	85th
Goals	0.92	22	77th
Assists	0.67	16	81st
Saves	1.17	28	54th
Shots	2.25	54	46th
Demos	0.92	22	63rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	369.92	#278 / 1215	#17 / 134
Goals	0.92	#233 / 1215	#24 / 134
Assists	0.67	#229 / 1215	#18 / 134
Saves	1.17	#609 / 1215	#48 / 134
Demos	0.92	#498 / 1215	#41 / 134

64% of the season is played (24 → ~37 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	8878	13687	13515	13412 – 13619
Goals	22	34	33	28 – 38
Assists	16	25	24	20 – 28
Saves	28	43	43	37 – 49
Shots	54	83	84	75 – 92
Demos	22	34	34	28 – 39
MVPs	10	15	15	11 – 18

From 20 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	380.7
Avg boost	47.6
Boost stolen / game	556.8
% time at 0 boost	11.1%
Avg speed (uu/s)	1407.9
% supersonic	10.2%
% time high in air	4.4%
Avg distance to ball	2721.9
% time attacking third	23.6%
Demos / game	0.8
Demos taken / game	0.9
Shooting %	43.0%

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	0.95	0.89	0.82 – 1.0
Assists/game	0.8	0.76	0.67 – 0.82
Saves/game	1.1	1.08	1.04 – 1.19
Shots/game	2.3	2.58	2.47 – 2.67

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
Mulliganisoup	S21	Contender	0.81	0.79	1.08	1.06
Rich-Rollin6060	S20	Amateur	0.95	0.68	0.95	1.08
shadic148	S20	Challenger	0.92	0.83	1.0	1.11
PoupSoup	S25	Rival	0.75	0.76	1.07	1.14
Lewii jr.	S25	Contender	0.89	0.82	1.0	1.18
dyl	S26	Challenger	0.79	0.79	1.25	1.27
cartman_-_	S24	Veteran	1.02	0.84	1.08	1.33
Kayo	S24	Rival	0.77	0.77	1.19	1.38
Slashfabo420	S18	Amateur	1.03	0.74	0.95	1.41
JoeExotic	S13	Rival	1.0	1.0	1.12	1.48

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.