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	250.4	5008	11th
Goals	0.55	11	24th
Assists	0.5	10	52nd
Saves	0.85	17	15th
Shots	1.9	38	20th
Demos	1.15	23	82nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	250.4	#900 / 1215	#99 / 134
Goals	0.55	#758 / 1215	#84 / 134
Assists	0.5	#516 / 1215	#47 / 134
Saves	0.85	#857 / 1215	#94 / 134
Demos	1.15	#299 / 1215	#20 / 134

64% of the season is played (20 → ~31 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	5008	7762	7972	7890 – 8054
Goals	11	17	18	14 – 21
Assists	10	16	15	12 – 19
Saves	17	26	27	22 – 32
Shots	38	59	60	53 – 67
Demos	23	36	35	29 – 40
MVPs	1	2	2	1 – 3

From 17 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	275.7
Avg boost	47.8
Boost stolen / game	307.2
% time at 0 boost	8.7%
Avg speed (uu/s)	1379.7
% supersonic	6.4%
% time high in air	1.4%
Avg distance to ball	3482.1
% time attacking third	16.2%
Demos / game	1.1
Demos taken / game	1.0
Shooting %	22.5%

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	0.47	0.54	0.49 – 0.58
Assists/game	0.53	0.5	0.43 – 0.54
Saves/game	0.94	1.0	0.86 – 1.14
Shots/game	1.82	1.69	1.61 – 1.85

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
Sol	S18	Amateur	0.54	0.49	1.08	0.71
kgfan3	S18	Contender	0.58	0.5	0.92	1.26
Shraggaholic	S20	Prospect	0.4	0.46	1.23	1.26
DefNotMongo.	S25	Prospect	0.64	0.57	0.86	1.27
WILLBONG	S23	Challenger	0.56	0.5	1.26	1.27
SunCeltic	S20	Contender	0.56	0.67	0.78	1.28
VickyViksta	S17	Challenger	0.5	0.36	1.14	1.29
gunz	S26	Contender	0.62	0.46	1.12	1.38
GeneralLeigh91	S23	Amateur	0.54	0.31	1.0	1.38
Studog43	S25	Amateur	0.7	0.45	0.91	1.41

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.