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GirthDemon — CS2 Stats

76561198042065134[U:1:81799406]

160Tracked matches52%Win rate2024Tracked since
CSDB Rating3.3 Learning
Premier CS Rating5,768Light Blue band · top ~75.1% of ranked players (population est.)
CSDB Leaderboard#17084 of 22380 tracked
Ladder ranks via Leetify

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CSDB.GGGirthDemonPREMIER5,768 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning38
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateLWLLWWTWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.1
Aggression3.6
Utility2.6
Positioning3.8
Opening Duels1.3

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

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim3.1
Positioning3.8
Utility2.6
Mechanics5.6
Opening Duels1.9
Win Impact5.6

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time650ms−48ms
first ⅓ avg 697ms → last ⅓ avg 650ms
Headshot accuracy9.8%+0.1%
first ⅓ avg 9.7% → last ⅓ avg 9.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — mirage 5–2
13–1Biggest win — dust2
5Longest win streak
4–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 50% over 14ancientWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D258–1732%-0.04
ancientD184–1422%-0.02
mirageB157–847%-0.01
infernoB147–750%-0.02
nukeB126–650%-0.01
overpassD92–722%-0.05
trainB63–350%-0.00
anubis—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Ancient 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.

9.2%Headshot accuracy
30.6%Accuracy (enemy spotted)
28.9%Spray accuracy
75.2%Counter-strafing
11.3°Preaim
651msReaction time
25.2%T opening success
45.1%CT opening success
0.55Enemies flashed / flash
3.5%Flash assists
6.62HE damage / grenade
3.38Flashes / 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 9.2239% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.377 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.1946% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
train10–13-0.039%28 Apr →
dust213–20.033%5 Apr →
dust26–13-0.049%4 Apr →
mirage2–13-0.056%4 Apr →
dust213–5-0.039%2 Apr →
inferno13–11-0.066%1 Apr →
inferno15–15-0.027%1 Apr →
mirage5–20.1611%1 Apr →
anubis13–8-0.0310%25 Mar →
dust213–10.0312%24 Mar →
nuke13–8-0.065%23 Mar →
nuke13–50.1315%17 Mar →
ancient7–13-0.0610%15 Mar →
inferno13–8-0.009%15 Mar →
ancient13–60.017%10 Mar →
nuke2–13-0.018%10 Mar →
overpass10–13-0.0612%10 Mar →
inferno13–9-0.056%10 Mar →
mirage11–13-0.058%5 Mar →
nuke13–30.017%5 Mar →
dust29–13-0.109%27 Feb →
dust216–14-0.0312%25 Feb →
dust23–130.0021%25 Feb →
ancient11–13-0.0510%23 Feb →
mirage13–9-0.019%23 Feb →
dust25–130.007%23 Feb →
mirage10–13-0.069%23 Feb →
mirage13–160.078%13 Feb →
dust28–13-0.0415%13 Feb →
dust213–7-0.0711%11 Feb →
dust27–13-0.0216%11 Feb →
dust213–70.0414%6 Feb →
inferno13–70.0614%6 Feb →
inferno12–16-0.028%6 Feb →
nuke10–13-0.048%6 Feb →
ancient5–13-0.0811%5 Feb →
ancient6–13-0.048%20 Jan →
nuke12–120.0110%20 Jan →
nuke13–10-0.015%19 Jan →
ancient11–13-0.069%19 Jan →
inferno7–13-0.0411%18 Jan →
ancient12–120.019%14 Jan →
nuke13–9-0.0015%14 Jan →
mirage13–7-0.0319%12 Jan →
overpass6–13-0.069%8 Jan →
train13–20.068%8 Jan →
dust210–13-0.0213%7 Jan →
nuke10–13-0.079%5 Jan →
mirage12–12-0.0412%3 Jan →
dust23–13-0.0512%3 Jan →
ancient13–5-0.047%3 Jan →
inferno6–13-0.017%2 Jan →
ancient12–120.039%2 Jan →
ancient11–13-0.0912%2 Jan →
train4–13-0.079%23 Dec →
inferno11–13-0.0516%23 Dec →
overpass4–13-0.065%18 Dec →
dust210–13-0.0311%9 Dec →
ancient5–13-0.058%9 Dec →
inferno5–13-0.039%9 Dec →
ancient4–13-0.028%6 Dec →
overpass13–11-0.007%6 Dec →
inferno13–100.069%6 Dec →
dust213–80.0112%6 Dec →
overpass6–13-0.017%6 Dec →
dust213–6-0.0413%6 Dec →
mirage13–10-0.045%6 Dec →
ancient7–13-0.089%6 Dec →
dust26–13-0.099%6 Dec →
dust23–13-0.064%6 Dec →
mirage6–13-0.026%5 Dec →
inferno5–13-0.0315%5 Dec →
inferno13–5-0.060%3 Dec →
dust27–13-0.0815%3 Dec →
train9–130.027%3 Dec →
dust27–13-0.0217%25 Nov →
overpass13–30.0113%24 Nov →
dust27–13-0.139%24 Nov →
mirage13–6-0.0611%24 Nov →
train13–30.0115%24 Nov →
ancient13–5-0.015%24 Nov →
mirage7–130.038%20 Nov →
dust214–160.0110%20 Nov →
overpass5–13-0.025%20 Nov →
ancient16–140.067%19 Nov →
ancient5–130.0315%19 Nov →
overpass12–12-0.0910%17 Nov →
nuke2–13-0.073%17 Nov →
dust25–13-0.0825%17 Nov →
nuke8–13-0.064%16 Oct →
ancient11–13-0.027%16 Oct →
nuke13–9-0.0013%16 Oct →
mirage13–9-0.047%15 Oct →
dust24–13-0.0731%15 Oct →
mirage13–90.0012%15 Oct →
overpass1–13-0.125%15 Oct →
mirage10–13-0.038%13 Oct →
inferno13–5-0.005%13 Oct →
train13–6-0.022%12 Oct →
ancient10–130.025%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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