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	370.75	5932	74th
Goals	0.75	12	50th
Assists	0.88	14	94th
Saves	1.56	25	79th
Shots	2.94	47	81st
Demos	2.06	33	95th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	370.75	#274 / 1215	#35 / 164
Goals	0.75	#455 / 1215	#67 / 164
Assists	0.88	#53 / 1215	#6 / 164
Saves	1.56	#197 / 1215	#29 / 164
Demos	2.06	#36 / 1215	#7 / 164

56% of the season is played (16 → ~28 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	5932	10381	10263	10160 – 10366
Goals	12	21	21	16 – 26
Assists	14	24	23	18 – 28
Saves	25	44	43	36 – 50
Shots	47	82	80	71 – 90
Demos	33	58	54	47 – 61
MVPs	1	2	2	1 – 4

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	402.1
Avg boost	44.5
Boost stolen / game	595.2
% time at 0 boost	15.3%
Avg speed (uu/s)	1545.9
% supersonic	15.8%
% time high in air	3.4%
Avg distance to ball	2946.0
% time attacking third	20.8%
Demos / game	1.6
Demos taken / game	1.4
Shooting %	19.6%

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	0.83	0.75 – 0.98
Assists/game	1.0	0.87	0.79 – 0.93
Saves/game	1.25	1.25	1.17 – 1.36
Shots/game	3.25	3.0	2.75 – 3.25

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
Tyyphoon454	S14	Rival	0.75	1.0	1.5	1.30
Phelpsy	S26	Elite	0.9	0.83	1.2	1.39
Meloaw	S26	Master	0.86	1.04	1.11	1.46
Mixsta.	S22	Master	0.83	0.79	1.21	1.48
BIGbadBULLMAN13	S17	Rival	0.79	1.04	1.5	1.50
Hirsch	S22	Master	0.81	0.88	1.31	1.54
Veoloux	S20	Rival	0.88	1.12	1.38	1.55
ChilloutGames	S25	Rival	0.85	0.75	1.27	1.55
Monty.	S19	Veteran	0.75	1.08	1.17	1.58
Kruncho	S22	Premier	0.77	0.82	1.25	1.59

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.