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	297.58	10713	37th
Goals	0.78	28	60th
Assists	0.42	15	32nd
Saves	0.92	33	17th
Shots	2.47	89	64th
Demos	0.61	22	36th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	297.58	#766 / 1215	#70 / 134
Goals	0.78	#426 / 1215	#43 / 134
Assists	0.42	#706 / 1215	#76 / 134
Saves	0.92	#831 / 1215	#90 / 134
Demos	0.61	#746 / 1215	#70 / 134

64% of the season is played (36 → ~56 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (26 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	10713	16665	16736	16736	16616 – 16855
Goals	28	44	43	43	37 – 49
Assists	15	23	24	22	19 – 28
Saves	33	51	52	51	45 – 59
Shots	89	138	138	135	127 – 149
Demos	22	34	35	35	29 – 41
MVPs	2	3	3	3	2 – 5

From 32 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	312.7
Avg boost	54.3
Boost stolen / game	419.9
% time at 0 boost	6.8%
Avg speed (uu/s)	1465.2
% supersonic	10.5%
% time high in air	3.0%
Avg distance to ball	3246.7
% time attacking third	19.9%
Demos / game	0.6
Demos taken / game	0.5
Shooting %	33.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Amateur	11	1.18	0.18	0.64	293
S21	Contender	15	0.33	0.2	0.93	278
S26	Contender	32	0.72	0.38	0.88	313

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	0.72	0.75	0.65 – 0.82
Assists/game	0.38	0.41	0.35 – 0.46
Saves/game	0.88	0.94	0.88 – 1.0
Shots/game	2.38	2.41	2.27 – 2.5

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
XerNaut	S25	Contender	0.65	0.39	0.94	0.69
Chris.	S26	Prospect	0.65	0.42	1.12	0.93
Jay_Kay99	S23	Veteran	0.62	0.38	0.77	0.99
Ducky	S17	Challenger	0.75	0.5	0.88	1.06
tr1ppn	S13	Rival	0.8	0.4	1.1	1.08
wall2wall3	S14	Master	0.67	0.33	1.0	1.08
D0pey killer	S24	Amateur	0.73	0.48	0.96	1.09
daggumbigfeet	S24	Veteran	0.85	0.38	1.08	1.09
Jeoka	S25	Contender	0.8	0.35	0.95	1.10
MobBossCitrus	S24	Challenger	0.92	0.46	0.92	1.10

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.