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	325.04	7801	59th
Goals	0.79	19	63rd
Assists	0.67	16	81st
Saves	1.17	28	54th
Shots	2.42	58	60th
Demos	0.62	15	38th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	325.04	#618 / 1215	#45 / 134
Goals	0.79	#410 / 1215	#40 / 134
Assists	0.67	#229 / 1215	#18 / 134
Saves	1.17	#609 / 1215	#48 / 134
Demos	0.62	#733 / 1215	#69 / 134

64% of the season is played (24 → ~37 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 (44 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	7801	12027	12001	12001	11902 – 12099
Goals	19	29	29	29	24 – 34
Assists	16	25	24	24	20 – 28
Saves	28	43	43	43	37 – 49
Shots	58	89	89	89	81 – 98
Demos	15	23	24	24	19 – 28
MVPs	3	5	5	5	3 – 7

From 20 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	302.0
Avg boost	49.8
Boost stolen / game	420.6
% time at 0 boost	9.9%
Avg speed (uu/s)	1390.4
% supersonic	7.0%
% time high in air	2.0%
Avg distance to ball	3093.1
% time attacking third	22.3%
Demos / game	0.6
Demos taken / game	1.1
Shooting %	30.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	44	0.68	0.41	1.18	333
S26	Contender	20	0.75	0.8	1.2	302

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	0.75	0.82	0.71 – 0.86
Assists/game	0.8	0.71	0.65 – 0.81
Saves/game	1.2	1.1	1.02 – 1.2
Shots/game	2.4	2.48	2.42 – 2.65

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
Phteven	S14	Prospect	0.83	0.83	1.08	0.89
Alextross	S25	Prospect	0.93	0.81	1.21	1.09
Kush_the_Ninja	S13	Contender	0.82	0.64	1.0	1.11
lone wolf	S26	Prospect	0.71	0.93	1.21	1.14
Gmoney	S25	Prospect	0.8	0.74	1.02	1.16
OvrSizedFrog	S23	Challenger	0.58	0.72	1.03	1.17
Merk890	S24	Rival	0.86	0.76	1.08	1.22
Dom TuT	S19	Prospect	0.75	1.0	1.25	1.25
ReaperXD97	S24	Prospect	0.87	0.69	1.23	1.29
Canadian Gamer	S22	Challenger	0.9	0.6	1.2	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.