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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	324.29	7783	21st
Goals	0.75	18	46th
Assists	0.38	9	12th
Saves	1.38	33	46th
Shots	1.96	47	10th
Demos	1.71	41	88th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	324.29	#626 / 1215	#107 / 170
Goals	0.75	#455 / 1215	#68 / 170
Assists	0.38	#761 / 1215	#118 / 170
Saves	1.38	#385 / 1215	#69 / 170
Demos	1.71	#90 / 1215	#16 / 170

56% of the season is played (24 → ~43 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	7783	13945	14086	13957 – 14214
Goals	18	32	32	26 – 38
Assists	9	16	17	13 – 22
Saves	33	59	59	51 – 67
Shots	47	84	87	77 – 98
Demos	41	73	70	62 – 79
MVPs	3	5	5	3 – 8

From 20 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	470.1
Avg boost	49.7
Boost stolen / game	673.6
% time at 0 boost	18.3%
Avg speed (uu/s)	1613.6
% supersonic	20.8%
% time high in air	4.1%
Avg distance to ball	2882.4
% time attacking third	22.4%
Demos / game	1.8
Demos taken / game	0.8
Shooting %	32.8%

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	0.75	0.69 – 0.82
Assists/game	0.4	0.42	0.38 – 0.5
Saves/game	1.35	1.37	1.27 – 1.54
Shots/game	2.0	2.38	2.07 – 2.52

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
TheLegendaryChance	S25	Master	0.7	0.36	1.43	1.16
Melon	S21	Veteran	0.81	0.42	1.31	1.27
Enterprise15	S26	Prospect	0.7	0.52	1.17	1.27
Enterprise15	S25	Prospect	0.58	0.42	1.58	1.34
oneam	S22	Master	0.69	0.38	1.41	1.46
sandro	S22	Elite	0.92	0.25	1.25	1.48
Torro	S23	Elite	0.77	0.57	1.47	1.51
dxge	S23	Elite	0.91	0.36	1.64	1.53
cozyboy	S25	Rival	0.6	0.31	1.29	1.60
honk=bonk	S17	Master	0.88	0.38	1.25	1.62

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.