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 Rival)

Stat	Per game	Total	Percentile in tier
Points	309.82	5267	22nd
Goals	0.47	8	14th
Assists	0.71	12	83rd
Saves	1.41	24	59th
Shots	1.94	33	17th
Demos	0.88	15	39th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	309.82	#702 / 1215	#105 / 164
Goals	0.47	#831 / 1215	#115 / 164
Assists	0.71	#182 / 1215	#23 / 164
Saves	1.41	#349 / 1215	#55 / 164
Demos	0.88	#528 / 1215	#83 / 164

56% of the season is played (17 → ~30 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 (113 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	5267	9295	9425	9425	9323 – 9527
Goals	8	14	15	17	11 – 19
Assists	12	21	20	21	16 – 25
Saves	24	42	42	42	35 – 49
Shots	33	58	61	63	52 – 69
Demos	15	26	27	27	22 – 33
MVPs	1	2	2	2	1 – 4

From 13 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	363.8
Avg boost	48.9
Boost stolen / game	460.5
% time at 0 boost	9.5%
Avg speed (uu/s)	1520.3
% supersonic	11.8%
% time high in air	3.0%
Avg distance to ball	3160.6
% time attacking third	18.0%
Demos / game	0.8
Demos taken / game	1.5
Shooting %	30.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	53	0.87	0.53	1.23	377
S25	Challenger	60	1.0	0.72	1.43	396
S26	Rival	13	0.62	0.69	1.38	364

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	0.61	0.6	0.56 – 0.73
Assists/game	0.69	0.67	0.58 – 0.71
Saves/game	1.39	1.38	1.26 – 1.45
Shots/game	2.15	2.29	2.08 – 2.39

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
Clyde	S22	Veteran	0.6	0.68	1.4	0.59
Tiz Samu	S24	Elite	0.72	0.64	1.26	0.68
Leoniis.	S17	Premier	0.58	0.67	1.33	0.81
Braybaum02	S23	Veteran	0.66	0.75	1.51	0.88
Skotos	S18	Veteran	0.58	0.75	1.42	0.91
GrandPlat	S24	Master	0.52	0.71	1.38	0.92
tiagosan _	S25	Challenger	0.78	0.65	1.37	1.05
xolzkii	S21	Veteran	0.76	0.65	1.35	1.09
Terx	S25	Veteran	0.58	0.56	1.22	1.09
doctorprofessor_	S26	Rival	0.57	0.68	1.57	1.12

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.