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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	388.79	13219	83rd
Goals	1.03	35	84th
Assists	0.76	26	87th
Saves	1.21	41	39th
Shots	3.03	103	88th
Demos	1.03	35	62nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	388.79	#168 / 1215	#23 / 166
Goals	1.03	#130 / 1215	#21 / 166
Assists	0.76	#110 / 1215	#17 / 166
Saves	1.21	#571 / 1215	#81 / 166
Demos	1.03	#381 / 1215	#51 / 166

60% of the season is played (34 → ~57 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	13219	22161	21953	21804 – 22102
Goals	35	59	57	50 – 65
Assists	26	44	43	36 – 49
Saves	41	69	69	61 – 78
Shots	103	173	170	157 – 183
Demos	35	59	58	51 – 66
MVPs	10	17	16	12 – 20

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	448.3
Avg boost	51.3
Boost stolen / game	486.4
% time at 0 boost	15.2%
Avg speed (uu/s)	1575.2
% supersonic	14.8%
% time high in air	5.2%
Avg distance to ball	3140.7
% time attacking third	21.6%
Demos / game	1.1
Demos taken / game	0.6
Shooting %	31.4%

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	0.93	0.91	0.86 – 0.97
Assists/game	0.77	0.7	0.66 – 0.77
Saves/game	1.2	1.29	1.19 – 1.37
Shots/game	2.93	2.9	2.81 – 3.06

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
Danwad	S23	Premier	0.91	0.62	1.31	0.87
alexis bexas	S22	Master	0.93	0.77	1.09	0.87
turbidd	S26	Veteran	0.78	0.74	1.17	1.01
Shanerbaner	S14	Master	1.0	0.88	1.25	1.01
WinterMajorChamp	S25	Master	1.04	0.73	1.23	1.02
Saucey	S25	Master	0.97	0.75	1.48	1.06
hoodie	S26	Rival	1.0	0.73	1.19	1.09
Mimetic	S24	Veteran	0.82	0.73	1.13	1.09
The-JDViirus	S26	Veteran	0.89	0.68	1.07	1.10
Solar	S18	Rival	0.88	0.62	1.38	1.16

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.