HannandGrenade

Veteran - Double Commit - 5-13 (0.278)
67 OVR
overall rating (0–100) · 18 games · how is this calculated?
Overall rating 67/100 Tier dominance: 60th (+0.1 SD) Projects as: Veteran Role: Playmaker
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
17% of games
Shot %
31%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 340.11 6122
36th
Goals 0.72 13
40th
Assists 0.67 12
66th
Saves 1.28 23
38th
Shots 2.33 42
31st
Demos 1.72 31
89th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points340.11 #503 / 1215 #87 / 170
Goals0.72 #521 / 1215 #81 / 170
Assists0.67 #229 / 1215 #39 / 170
Saves1.28 #493 / 1215 #85 / 170
Demos1.72 #84 / 1215 #15 / 170

Season projection

Medium confidence

56% of the season is played (18 → ~32 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 (52 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 6122 10884 10944 10944 10833 – 11054
Goals 13 23 23 24 18 – 28
Assists 12 21 21 21 16 – 26
Saves 23 41 41 42 35 – 48
Shots 42 75 76 78 67 – 85
Demos 31 55 52 51 45 – 60
MVPs 3 5 5 5 3 – 8

Advanced stats (ballchasing)

Advanced OVR 77 /100

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 421.7
Avg boost 51.9
Boost stolen / game 540.8
% time at 0 boost 11.4%
Avg speed (uu/s) 1553.7
% supersonic 15.0%
% time high in air 4.0%
Avg distance to ball 3117.0
% time attacking third 19.4%
Demos / game 1.7
Demos taken / game 0.7
Shooting % 31.7%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran8 1.51.382.12 358
S25Rival44 0.730.571.27 413
S26Veteran18 0.720.671.28 422

Beyond RSC - lifetime & other play

External skill estimate: ~12 OVR Low confidence — inferred from 21 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 67.
SourceGames RecordWin % Score/g
Lifetime (all)1215428-519 45% 357
RSC (official)64-0 100% 491
Non-RSC ranked 3v3219-9 50% 245
Non-RSC other1188415-510 45% 359

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/game0.72 0.73 0.69 – 0.8
Assists/game0.67 0.67 0.62 – 0.71
Saves/game1.28 1.31 1.25 – 1.4
Shots/game2.33 2.42 2.36 – 2.61

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
BaronTac0 S24Elite 0.790.641.47 0.70
dillynmario S17Challenger 0.750.671.25 0.82
wndr S22Master 0.680.661.3 0.95
SGE Nemesis S23Elite 0.650.671.11 0.99
Nightfang S22Premier 0.840.741.24 1.09
GreenLemon S23Rival 0.710.631.37 1.13
Wash3y S26Prospect 0.860.661.38 1.15
S_ckz S22Veteran 0.80.61.5 1.17
Havox.RL S23Rival 0.810.551.45 1.17
BallChasinq S25Master 0.920.751.25 1.17

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.