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	302.82	8479	44th
Goals	0.61	17	34th
Assists	0.43	12	32nd
Saves	1.11	31	44th
Shots	2.21	62	45th
Demos	0.75	21	45th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	302.82	#737 / 1215	#62 / 134
Goals	0.61	#690 / 1215	#73 / 134
Assists	0.43	#685 / 1215	#73 / 134
Saves	1.11	#678 / 1215	#62 / 134
Demos	0.75	#633 / 1215	#57 / 134

64% of the season is played (28 → ~44 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	8479	13324	13375	13267 – 13483
Goals	17	27	27	22 – 32
Assists	12	19	19	15 – 23
Saves	31	49	49	42 – 55
Shots	62	97	98	89 – 107
Demos	21	33	33	28 – 39
MVPs	1	2	2	1 – 4

From 21 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	341.5
Avg boost	50.9
Boost stolen / game	329.7
% time at 0 boost	12.8%
Avg speed (uu/s)	1453.5
% supersonic	8.4%
% time high in air	3.3%
Avg distance to ball	2998.6
% time attacking third	16.5%
Demos / game	0.6
Demos taken / game	1.2
Shooting %	21.2%

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	0.48	0.5	0.46 – 0.62
Assists/game	0.29	0.33	0.29 – 0.38
Saves/game	1.0	1.02	0.94 – 1.11
Shots/game	2.05	1.94	1.86 – 2.1

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
Novarchite	S20	Prospect	0.59	0.35	1.02	0.96
FattyMcChef04	S25	Contender	0.43	0.4	1.09	0.97
JonathanVanDyk	S24	Challenger	0.5	0.31	1.0	0.97
RYU GU	S21	Prospect	0.56	0.33	0.78	1.01
CF SHHM3LLYY	S18	Amateur	0.64	0.39	0.89	1.05
JonathanVanDyk	S25	Challenger	0.46	0.31	0.77	1.10
Drips	S17	Rival	0.44	0.44	1.0	1.15
waynswrld	S26	Contender	0.5	0.38	1.0	1.20
dino_chick3n	S24	Challenger	0.67	0.33	1.19	1.22
MeOnDisplay	S17	Prospect	0.6	0.3	1.0	1.24

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

---

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