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	299.43	6887	39th
Goals	0.57	13	27th
Assists	0.52	12	60th
Saves	1.17	27	58th
Shots	1.7	39	9th
Demos	1.39	32	89th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	299.43	#757 / 1215	#68 / 134
Goals	0.57	#742 / 1215	#81 / 134
Assists	0.52	#498 / 1215	#44 / 134
Saves	1.17	#604 / 1215	#47 / 134
Demos	1.39	#177 / 1215	#12 / 134

64% of the season is played (23 → ~36 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 (87 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	6887	10780	10839	10839	10743 – 10935
Goals	13	20	21	21	17 – 25
Assists	12	19	19	18	15 – 23
Saves	27	42	42	43	36 – 48
Shots	39	61	63	63	56 – 71
Demos	32	50	48	49	42 – 54
MVPs	2	3	3	3	2 – 5

From 16 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	311.4
Avg boost	52.4
Boost stolen / game	490.3
% time at 0 boost	10.5%
Avg speed (uu/s)	1405.2
% supersonic	10.2%
% time high in air	3.5%
Avg distance to ball	2999.8
% time attacking third	19.0%
Demos / game	1.6
Demos taken / game	0.9
Shooting %	26.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Amateur	36	0.78	0.39	0.89	308
S25	Contender	51	0.51	0.35	1.53	294
S26	Contender	16	0.44	0.5	1.25	311

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	0.44	0.48	0.41 – 0.57
Assists/game	0.5	0.46	0.41 – 0.56
Saves/game	1.25	1.18	1.06 – 1.26
Shots/game	1.44	1.62	1.5 – 1.73

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
K.Doughboy	S23	Challenger	0.48	0.42	1.19	1.22
Whoviancat	S23	Challenger	0.43	0.43	1.0	1.23
Rocci	S22	Amateur	0.48	0.38	1.14	1.29
AB26panther	S17	Challenger	0.6	0.5	1.2	1.35
Chicken	S25	Veteran	0.5	0.56	1.29	1.35
Jay_Kay99	S20	Veteran	0.62	0.38	1.06	1.39
WILLBONG	S24	Challenger	0.44	0.41	1.18	1.42
Novarchite	S25	Challenger	0.41	0.64	1.32	1.48
Bobby Dangler.	S19	Prospect	0.58	0.58	1.5	1.53
Aspect oF Hope	S21	Premier	0.25	0.62	1.25	1.54

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.