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	343.5	5496	73rd
Goals	0.94	15	80th
Assists	0.44	7	38th
Saves	1.0	16	26th
Shots	2.75	44	81st
Demos	0.75	12	45th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	343.5	#471 / 1215	#30 / 134
Goals	0.94	#211 / 1215	#22 / 134
Assists	0.44	#668 / 1215	#68 / 134
Saves	1.0	#738 / 1215	#68 / 134
Demos	0.75	#633 / 1215	#57 / 134

64% of the season is played (16 → ~25 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	5496	8588	8508	8426 – 8591
Goals	15	23	23	19 – 27
Assists	7	11	11	8 – 14
Saves	16	25	25	21 – 30
Shots	44	69	67	60 – 75
Demos	12	19	19	15 – 23
MVPs	4	6	6	4 – 8

From 12 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	324.2
Avg boost	51.6
Boost stolen / game	418.8
% time at 0 boost	9.3%
Avg speed (uu/s)	1419.7
% supersonic	8.0%
% time high in air	3.9%
Avg distance to ball	3001.4
% time attacking third	20.2%
Demos / game	0.8
Demos taken / game	0.6
Shooting %	25.4%

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	0.83	0.81	0.75 – 0.88
Assists/game	0.5	0.52	0.48 – 0.59
Saves/game	0.92	0.98	0.92 – 1.08
Shots/game	2.58	2.47	2.31 – 2.62

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
D0pey killer	S24	Amateur	0.73	0.48	0.96	0.69
RL Camaro	S25	Amateur	0.88	0.52	0.82	0.74
MobBossCitrus	S24	Challenger	0.92	0.46	0.92	0.83
Bieles	S26	Prospect	0.92	0.5	1.08	0.85
Gmoney	S24	Prospect	0.76	0.57	1.02	0.86
HyPe56	S21	Contender	0.93	0.56	0.95	0.86
Carno	S23	Prospect	0.79	0.55	0.83	0.87
The_Killerwon	S25	Rival	0.82	0.43	0.88	0.91
Tazlien	S23	Prospect	0.68	0.5	1.06	0.93
nizz	S24	Veteran	1.0	0.55	0.96	0.94

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.