WittingHalo64

Rival - Lightning - 14-15 (0.483)
53 OVR
overall rating (0–100) · 29 games · how is this calculated?
Overall rating 53/100 Tier dominance: 63rd (+0.4 SD) Projects as: Rival Role: Role player
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.

MVPs
3
10% of games
Shot %
27%

Per-game production (percentile within Rival)

StatPer gameTotalPercentile in tier
Points 326.34 9464
31st
Goals 0.62 18
31st
Assists 0.55 16
51st
Saves 1.34 39
49th
Shots 2.28 66
31st
Demos 2.24 65
97th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Rival
Points326.34 #613 / 1215 #93 / 164
Goals0.62 #676 / 1215 #93 / 164
Assists0.55 #445 / 1215 #65 / 164
Saves1.34 #425 / 1215 #69 / 164
Demos2.24 #27 / 1215 #4 / 164

Season projection

Medium confidence

56% of the season is played (29 → ~52 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 (83 games across 5 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 9464 16970 17044 17044 16902 – 17186
Goals 18 32 33 33 27 – 39
Assists 16 29 29 29 23 – 34
Saves 39 70 70 68 61 – 79
Shots 66 118 119 119 107 – 131
Demos 65 117 111 112 100 – 122
MVPs 3 5 6 6 3 – 8

Advanced stats (ballchasing)

Advanced OVR 83 /100

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 462.8
Avg boost 54.3
Boost stolen / game 734.4
% time at 0 boost 12.0%
Avg speed (uu/s) 1616.0
% supersonic 17.6%
% time high in air 4.3%
Avg distance to ball 3296.2
% time attacking third 22.4%
Demos / game 2.4
Demos taken / game 1.1
Shooting % 30.2%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran8 0.380.620.88 416
S21Veteran12 0.580.671.17 431
S22Rival8 1.120.381.12 446
S23Rival12 0.670.920.83 437
S24Veteran2 0.50.00.5 388
S25Rival43 0.810.491.19 428
S26Rival25 0.640.61.16 463

Beyond RSC - lifetime & other play

External skill estimate: ~74 OVR Low confidence — inferred from 30 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 53.
SourceGames RecordWin % Score/g
Lifetime (all)1173416-536 44% 322
RSC (official)145-9 36% 350
Non-RSC ranked 3v33011-16 41% 344
Non-RSC other1129400-511 44% 321

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.64 0.7 0.58 – 0.8
Assists/game0.6 0.61 0.54 – 0.67
Saves/game1.16 1.21 1.08 – 1.31
Shots/game2.24 2.5 2.38 – 2.6

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
The_Wheelman_95 S24Veteran 0.610.611.21 1.20
JarrettD. S26Master 0.50.51.33 1.24
WittingHalo64 S21Veteran 0.580.671.17 1.27
BIGbadBULLMAN13 S24Veteran 0.420.661.08 1.28
TheLegendaryChance S23Elite 0.860.591.12 1.44
Monty. S22Elite 0.360.641.21 1.47
Secretariat S26Elite 0.770.651.31 1.49
cmonchan S17Challenger 0.60.61.1 1.49
junior1000gsxr S23Challenger 0.460.731.14 1.56
Torro S23Elite 0.770.571.47 1.58

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.