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	241.48	5071	5th
Goals	0.33	7	5th
Assists	0.29	6	12th
Saves	1.0	21	26th
Shots	1.95	41	24th
Demos	0.76	16	50th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	241.48	#916 / 1215	#106 / 134
Goals	0.33	#893 / 1215	#105 / 134
Assists	0.29	#860 / 1215	#96 / 134
Saves	1.0	#738 / 1215	#68 / 134
Demos	0.76	#628 / 1215	#54 / 134

64% of the season is played (21 → ~33 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	5071	7969	8219	8133 – 8304
Goals	7	11	12	9 – 16
Assists	6	9	10	7 – 13
Saves	21	33	33	28 – 39
Shots	41	64	66	58 – 73
Demos	16	25	25	21 – 30
MVPs	0	0	1	0 – 2

From 18 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	342.0
Avg boost	55.2
Boost stolen / game	396.4
% time at 0 boost	8.0%
Avg speed (uu/s)	1461.6
% supersonic	10.7%
% time high in air	2.5%
Avg distance to ball	3196.8
% time attacking third	19.5%
Demos / game	0.8
Demos taken / game	0.6
Shooting %	18.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	3	0.0	1.67	1.33	286
S26	Contender	18	0.39	0.33	1.0	342

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	0.39	0.5	0.41 – 0.54
Assists/game	0.33	0.38	0.31 – 0.42
Saves/game	1.0	1.1	1.05 – 1.18
Shots/game	2.11	1.92	1.85 – 2.0

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
Blurrryy.	S23	Rival	0.32	0.35	1.05	0.75
Pokeninja77	S20	Prospect	0.38	0.38	1.12	0.76
Vulp the Philosopher	S21	Elite	0.46	0.36	1.18	0.82
VeryBadKittyCat	S23	Challenger	0.55	0.36	1.09	0.91
Irishhhh	S24	Veteran	0.34	0.26	1.11	0.94
Metatonixz	S21	Veteran	0.54	0.31	1.15	1.00
Vulp the Philosopher	S19	Elite	0.5	0.33	1.0	1.00
moxxiemoxxx	S18	Veteran	0.5	0.38	1.12	1.02
vAirwick	S19	Challenger	0.44	0.28	1.06	1.02
Skories	S22	Amateur	0.6	0.3	1.0	1.03

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.