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	277.12	6928	21st
Goals	0.6	15	31st
Assists	0.32	8	14th
Saves	1.08	27	41st
Shots	1.92	48	23rd
Demos	0.68	17	41st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	277.12	#835 / 1215	#88 / 134
Goals	0.6	#692 / 1215	#74 / 134
Assists	0.32	#843 / 1215	#95 / 134
Saves	1.08	#706 / 1215	#65 / 134
Demos	0.68	#692 / 1215	#65 / 134

64% of the season is played (25 → ~39 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 (60 games across 3 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	6928	10808	10943	10943	10846 – 11040
Goals	15	23	24	24	19 – 28
Assists	8	12	13	14	10 – 17
Saves	27	42	42	42	36 – 48
Shots	48	75	76	75	68 – 84
Demos	17	27	27	26	22 – 32
MVPs	2	3	3	3	2 – 5

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	262.3
Avg boost	48.4
Boost stolen / game	404.6
% time at 0 boost	9.7%
Avg speed (uu/s)	1360.5
% supersonic	5.6%
% time high in air	1.8%
Avg distance to ball	3191.9
% time attacking third	22.1%
Demos / game	0.6
Demos taken / game	0.6
Shooting %	38.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Amateur	12	1.08	0.42	1.08	295
S21	Amateur	24	0.88	0.96	1.33	282
S22	Contender	24	0.5	0.46	0.71	279
S26	Contender	21	0.62	0.33	1.0	262

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	0.62	0.65	0.53 – 0.68
Assists/game	0.33	0.42	0.32 – 0.47
Saves/game	1.0	0.97	0.88 – 1.06
Shots/game	1.95	1.9	1.81 – 2.12

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
Gambit	S25	Prospect	0.49	0.4	1.05	0.94
Pad1wanX	S19	Amateur	0.74	0.51	0.92	1.13
im_link42	S25	Contender	0.65	0.5	1.0	1.20
Willlm.	S23	Challenger	0.54	0.31	0.77	1.23
MysticMax07	S21	Prospect	0.73	0.41	0.73	1.25
DefNotMongo.	S20	Prospect	0.44	0.28	1.25	1.27
chrisofspades	S23	Amateur	0.57	0.46	1.07	1.28
Pad1wanX	S18	Amateur	0.42	0.32	0.9	1.28
Primed	S22	Challenger	0.56	0.3	1.0	1.29
Merioch	S26	Prospect	0.65	0.4	1.25	1.29

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.