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	390.79	11333	83rd
Goals	1.03	30	88th
Assists	0.55	16	42nd
Saves	1.52	44	67th
Shots	3.31	96	90th
Demos	0.97	28	47th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	390.79	#163 / 1215	#23 / 170
Goals	1.03	#124 / 1215	#17 / 170
Assists	0.55	#445 / 1215	#78 / 170
Saves	1.52	#236 / 1215	#45 / 170
Demos	0.97	#454 / 1215	#71 / 170

56% of the season is played (29 → ~52 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	11333	20321	20138	19985 – 20292
Goals	30	54	52	45 – 60
Assists	16	29	29	23 – 35
Saves	44	79	78	69 – 88
Shots	96	172	169	155 – 183
Demos	28	50	51	43 – 59
MVPs	9	16	15	11 – 19

From 25 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	371.3
Avg boost	49.5
Boost stolen / game	496.3
% time at 0 boost	9.3%
Avg speed (uu/s)	1511.5
% supersonic	11.7%
% time high in air	4.6%
Avg distance to ball	2917.6
% time attacking third	22.2%
Demos / game	1.0
Demos taken / game	0.7
Shooting %	30.9%

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	1.08	1.1	1.04 – 1.2
Assists/game	0.6	0.61	0.56 – 0.66
Saves/game	1.48	1.41	1.31 – 1.53
Shots/game	3.36	3.24	3.19 – 3.42

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
CKNfanboy67	S26	Veteran	1.06	0.56	1.53	0.67
Lup	S25	Elite	1.06	0.67	1.5	0.72
wat	S20	Rival	1.0	0.56	1.5	0.74
sykoshaggy4200	S23	Veteran	1.09	0.52	1.35	0.75
yurrbo?	S25	Veteran	1.13	0.53	1.63	0.85
CKNfanboy67	S25	Veteran	1.2	0.62	1.53	0.86
tr!ppn	S20	Challenger	1.2	0.6	1.4	0.89
Kaisaroh	S23	Elite	1.14	0.61	1.24	0.90
Python	S24	Elite	1.12	0.67	1.53	0.90
Snipe	S23	Veteran	1.04	0.52	1.48	0.92

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.