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	288.21	9799	28th
Goals	0.59	20	30th
Assists	0.53	18	64th
Saves	1.21	41	60th
Shots	2.06	70	36th
Demos	1.09	37	78th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	288.21	#810 / 1215	#80 / 134
Goals	0.59	#714 / 1215	#78 / 134
Assists	0.53	#483 / 1215	#39 / 134
Saves	1.21	#571 / 1215	#44 / 134
Demos	1.09	#336 / 1215	#24 / 134

64% of the season is played (34 → ~53 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 (28 games across 1 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	9799	15275	15379	15379	15264 – 15495
Goals	20	31	32	30	26 – 37
Assists	18	28	28	28	23 – 33
Saves	41	64	64	61	56 – 71
Shots	70	109	110	107	100 – 120
Demos	37	58	57	55	50 – 64
MVPs	3	5	5	5	3 – 7

From 30 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	259.0
Avg boost	52.2
Boost stolen / game	351.6
% time at 0 boost	8.0%
Avg speed (uu/s)	1291.6
% supersonic	5.3%
% time high in air	2.1%
Avg distance to ball	3222.8
% time attacking third	16.0%
Demos / game	1.0
Demos taken / game	1.1
Shooting %	31.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	28	0.43	0.61	0.68	217
S26	Contender	30	0.57	0.47	1.3	259

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	0.57	0.5	0.46 – 0.61
Assists/game	0.47	0.44	0.36 – 0.49
Saves/game	1.3	1.22	1.12 – 1.29
Shots/game	1.83	1.86	1.67 – 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
VickyViksta	S17	Challenger	0.5	0.36	1.14	1.29
K.Doughboy	S19	Prospect	0.55	0.46	1.27	1.41
Evil twin	S24	Prospect	0.45	0.4	1.35	1.48
Ander	S25	Amateur	0.48	0.46	1.15	1.55
Evil twin	S23	Prospect	0.42	0.35	1.12	1.57
N0MrThomasMn	S19	Amateur	0.75	0.25	1.42	1.57
WILLBONG	S23	Challenger	0.56	0.5	1.26	1.61
gunz	S26	Contender	0.62	0.46	1.12	1.62
Evil twin	S20	Contender	0.43	0.36	1.29	1.65
Sol	S18	Amateur	0.54	0.49	1.08	1.67

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.