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	446.85	11618	98th
Goals	1.58	41	99th
Assists	0.54	14	47th
Saves	0.96	25	13th
Shots	3.54	92	96th
Demos	1.81	47	92nd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	446.85	#20 / 1213	#2 / 164
Goals	1.58	#6 / 1213	#1 / 164
Assists	0.54	#459 / 1213	#68 / 164
Saves	0.96	#799 / 1213	#116 / 164
Demos	1.81	#75 / 1213	#11 / 164

56% of the season is played (26 → ~46 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (84 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	11618	20555	20068	20068	19920 – 20217
Goals	41	73	69	66	60 – 77
Assists	14	25	25	25	19 – 30
Saves	25	44	46	46	39 – 53
Shots	92	163	158	156	145 – 171
Demos	47	83	80	79	70 – 89
MVPs	12	21	20	20	15 – 24

From 26 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	368.4
Avg boost	52.6
Boost stolen / game	456.1
% time at 0 boost	8.7%
Avg speed (uu/s)	1509.1
% supersonic	15.6%
% time high in air	5.0%
Avg distance to ball	3042.1
% time attacking third	20.8%
Demos / game	1.8
Demos taken / game	0.7
Shooting %	43.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Veteran	4	1.75	0.75	1.75	341
S22	Veteran	44	0.61	0.61	1.09	356
S23	Veteran	40	0.6	0.62	1.42	354
S26	Rival	26	1.58	0.54	0.96	368

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	1.58	1.33	1.2 – 1.44
Assists/game	0.54	0.56	0.5 – 0.67
Saves/game	0.96	1.1	1.0 – 1.19
Shots/game	3.54	3.3	3.19 – 3.5

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
OmniMurders	S20	Challenger	1.58	0.5	1.33	1.55
Froz3nSlack5r	S19	Contender	1.31	0.62	1.12	1.68
AveX InceptionZ	S21	Challenger	1.27	0.4	0.93	1.82
GreenSleeves	S13	Premier	1.38	0.5	0.88	1.92
Theonlycrow2929	S20	Veteran	1.5	0.58	1.08	1.94
Yeetn-Skeet	S21	Elite	1.36	0.5	1.0	2.02
Tempest	S20	Elite	1.5	0.38	1.12	2.02
Yeetn-Skeet	S18	Veteran	1.44	0.44	1.31	2.11
Rev	S21	Elite	1.38	0.75	1.12	2.18
sinoda_20	S21	Rival	1.17	0.5	0.92	2.19

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.