grac1e

grac1e — CS2 Stats

76561198075099807[U:1:114834079]Steam profile ↗✓ No bans

85Tracked matches65%Win rate2025Tracked since
CSDB Rating2.9 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim22
Positioning25
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY40–36–9Last 8547%Win rateWWWWWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +3.0pp headshot accuracy · +115ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Newest first, from the last 85 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim2.2
Utility0.9
Positioning2.5
Opening Duels0.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.2
Positioning2.5
Utility0.9
Mechanics4.1
Opening Duels0.0
Win Impact10.0

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06+0.01
first ⅓ avg -0.08 → last ⅓ avg -0.06
Reaction time607ms−107ms
first ⅓ avg 714ms → last ⅓ avg 607ms
Headshot accuracy14.7%+2.9%
first ⅓ avg 11.8% → last ⅓ avg 14.7%

Rolling 5-match average across the last 85 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.01Best match rating · 13–0 · office, 17 Jul →
53%Best headshot accuracy · 13–1 · office, 7 Oct →
406msFastest reaction time · 13–3 · office, 7 Oct →
13–0Biggest win · office, 10 Sept →

Across the last 85 tracked matches.

Highlights

8Longest win streak
W5Current streak
3–6In matches decided by ≤2 rounds

Map breakdown

officeBest map · 51% over 55mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
officeB5528–2751%-0.06
dust2B115–645%-0.08
mirageC83–538%-0.09
nuke—42–250%-0.07
vertigo—20–20%-0.08
train—11–0100%-0.03
anubis—10–10%-0.08
cache—10–10%-0.05
ancient—11–0100%-0.08
inferno—10–10%-0.12

Across the last 85 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.9%Headshot accuracy
21.8%Accuracy (enemy spotted)
17.6%Spray accuracy
68.4%Counter-strafing
9.6°Preaim
612msReaction time
28.7%T opening success
21.8%CT opening success
0.05Enemies flashed / flash
0.0%Flash assists
6.22HE damage / grenade
0.15Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9234% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 17.5696% — below the 20% mark we flag

    Practice Config →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0532 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–60.0022%17 Oct →
office6–1-0.160%16 Oct →
office13–1-0.0353%7 Oct →
office13–3-0.080%7 Oct →
dust213–7-0.0616%6 Oct →
office0–13-0.125%6 Oct →
mirage3–13-0.1311%6 Oct →
office9–13-0.0713%26 Sept →
office13–5-0.0318%26 Sept →
office10–13-0.0328%12 Sept →
office13–2-0.0415%12 Sept →
office7–13-0.1011%12 Sept →
office13–4-0.016%10 Sept →
office13–10-0.038%10 Sept →
office13–0-0.0422%10 Sept →
office12–12-0.0916%9 Sept →
office13–11-0.0810%9 Sept →
office13–3-0.0326%1 Sept →
office12–12-0.1016%31 Aug →
office13–3-0.027%25 Aug →
office13–6-0.0317%24 Aug →
office12–12-0.0217%24 Aug →
dust210–13-0.076%23 Aug →
office7–13-0.0813%23 Aug →
office12–12-0.0823%21 Aug →
office13–5-0.102%21 Aug →
mirage13–11-0.1217%21 Aug →
office10–13-0.0213%27 Jul →
office13–2-0.059%25 Jul →
office10–13-0.0520%25 Jul →
office13–7-0.0222%25 Jul →
office13–1-0.049%24 Jul →
office8–13-0.0611%24 Jul →
office9–13-0.084%24 Jul →
office13–7-0.0216%24 Jul →
dust213–3-0.0112%23 Jul →
office13–6-0.0720%23 Jul →
office13–8-0.0319%23 Jul →
office13–4-0.0616%23 Jul →
train13–3-0.0312%23 Jul →
office13–6-0.0311%17 Jul →
office13–00.017%17 Jul →
office7–13-0.149%17 Jul →
office8–13-0.0514%15 Jul →
dust23–13-0.116%14 Jul →
anubis8–13-0.089%14 Jul →
office9–13-0.0712%13 Jul →
office13–8-0.0610%13 Jul →
office13–6-0.0924%8 Jul →
office11–13-0.068%30 Jun →
office11–13-0.0629%28 Jun →
nuke8–13-0.0610%9 Jun →
cache11–13-0.0519%9 Jun →
office5–13-0.0727%9 Jun →
office13–8-0.0415%8 Jun →
office7–13-0.069%7 Jun →
dust212–12-0.0922%7 Jun →
office8–13-0.039%7 Jun →
office11–13-0.1125%6 Jun →
office8–13-0.0712%6 Jun →
mirage13–8-0.0615%4 Jun →
nuke13–2-0.030%4 Jun →
ancient13–3-0.084%4 Jun →
office12–12-0.0616%2 Jun →
office12–12-0.0520%30 May →
office12–12-0.0826%30 May →
office13–11-0.0616%29 May →
office13–10-0.0021%29 May →
office12–12-0.178%4 Sept →
vertigo4–13-0.104%4 Sept →
mirage2–13-0.100%29 Aug →
dust211–13-0.104%29 Aug →
vertigo8–13-0.0625%29 Aug →
mirage9–13-0.1123%27 Aug →
nuke7–13-0.096%25 Aug →
inferno9–13-0.124%25 Aug →
mirage7–3-0.0320%25 Aug →
dust213–7-0.087%25 Aug →
nuke13–10-0.1129%25 Aug →
dust27–13-0.060%25 Aug →
mirage8–10-0.060%27 Jul →
dust213–3-0.0918%27 Jul →
dust213–9-0.070%26 Jul →
dust210–13-0.0817%26 Jul →
mirage3–13-0.100%24 Jul →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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