Grumpf

Grumpf — CS2 Stats

DE76561198123378550[U:1:163112822]Steam profile ↗✓ No bans

81Tracked matches32%Win rate2020Tracked since
CSDB Rating4.2 Developing
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim53
Positioning40
Utility55

0–100 skill scores via Leetify.

Recent form

COLD35349Last 7845%Win rateLLWLLLLLWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim5.3
Aggression4.8
Utility5.5
Positioning4.0
Opening Duels0.6

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim5.3
Positioning4.0
Utility5.5
Mechanics5.4
Opening Duels1.6
Win Impact0.0

Composite 4.2/10 (Developing), 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-0.06−0.07
first ⅓ avg 0.01 → last ⅓ avg -0.06
Reaction time611ms+29ms
first ⅓ avg 583ms → last ⅓ avg 611ms
Headshot accuracy16.1%+0.3%
first ⅓ avg 15.8% → last ⅓ avg 16.1%

Rolling 5-match average across the last 78 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — inferno 13–4
131Biggest win — warden
6Longest win streak
L2Current streak
49In matches decided by ≤2 rounds
6Overtime games

Map breakdown

wardenBest map · 86% over 7anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB26121446%0.01
wardenS76186%-0.01
alpineS64267%-0.02
anubisD5050%-0.02
vertigoC52340%0.01
nuke41325%-0.06
stronghold440100%-0.03
ancient31233%-0.04
dust231233%-0.04
overpass3030%-0.07
cache21150%-0.05
poseidon21150%-0.14
sanctum2020%-0.11
office2020%-0.05
italy21150%-0.03
train1010%-0.02
engage110100%0.00

Across the last 78 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis 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.

15.8%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.2%Spray accuracy
74.5%Counter-strafing
9.4°Preaim
604msReaction time
22.2%T opening success
42.5%CT opening success
0.66Enemies flashed / flash
2.8%Flash assists
10.02HE damage / grenade
4.21Flashes / 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. 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 22.1827% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0416%28 Aug
cache5–13-0.0914%28 Aug
ancient16–13-0.039%25 Aug
dust29–13-0.0622%25 Aug
inferno9–13-0.0417%25 Aug
anubis13–16-0.0218%23 Aug
inferno7–13-0.0816%23 Aug
ancient11–13-0.0320%22 Aug
cache13–7-0.0112%30 Apr
ancient11–13-0.0713%28 Apr
inferno7–13-0.0711%28 Apr
dust211–13-0.0531%25 Apr
overpass9–13-0.0216%25 Apr
anubis12–12-0.0718%25 Apr
stronghold13–8-0.0710%25 Apr
vertigo7–13-0.0211%25 Apr
inferno9–10.087%21 Feb
nuke7–9-0.1430%21 Feb
overpass0–9-0.200%21 Feb
poseidon2–9-0.2327%21 Feb
sanctum5–9-0.0818%21 Feb
poseidon9–5-0.0613%21 Feb
sanctum2–9-0.1327%21 Feb
office12–12-0.068%15 Feb
nuke13–9-0.0115%15 Feb
vertigo12–120.0119%14 Feb
anubis7–130.0111%14 Feb
overpass12–12-0.0018%14 Feb
italy12–12-0.0215%14 Feb
vertigo13–50.0513%14 Feb
alpine7–13-0.0612%13 Feb
warden13–10-0.0212%13 Feb
train4–13-0.0226%7 Feb
anubis11–130.0114%7 Feb
warden13–9-0.0414%7 Feb
alpine7–13-0.0330%7 Feb
stronghold8–1-0.0513%7 Feb
warden13–50.0111%6 Feb
nuke12–12-0.0320%6 Feb
anubis11–13-0.0520%6 Feb
warden11–13-0.058%5 Feb
alpine13–20.032%5 Feb
stronghold13–10-0.0316%2 Feb
dust213–7-0.0218%2 Feb
alpine13–7-0.0311%2 Feb
warden13–10.0819%2 Feb
vertigo13–110.0113%2 Feb
office8–13-0.057%2 Feb
warden13–6-0.0624%30 Jan
alpine13–2-0.013%30 Jan
stronghold13–20.0316%30 Jan
vertigo9–13-0.0223%30 Jan
italy13–9-0.0411%30 Jan
alpine7–7-0.0311%30 Jan
warden13–5-0.004%30 Jan
inferno2–13-0.0130%23 Dec
inferno11–13-0.0111%22 Dec
inferno13–60.0015%22 Dec
inferno13–110.0010%20 Dec
inferno13–11-0.0417%24 Oct
inferno9–13-0.055%23 Oct
inferno7–13-0.0114%22 Oct
inferno13–5-0.107%20 Oct
inferno5–130.0714%20 Oct
inferno4–130.089%19 Oct
inferno13–50.0428%18 Oct
inferno12–120.0121%12 Oct
inferno13–90.0724%7 Oct
inferno13–40.1317%5 Oct
inferno13–70.1317%5 Oct
inferno8–80.0411%9 Sept
inferno7–9-0.090%9 Sept
inferno9–10.0863%2 Aug
inferno8–8-0.0617%28 May
inferno16–110.009%19 Apr
engage16–80.0022%5 Dec
inferno11–160.009%30 Jul
inferno16–60.0016%3 Jun

Match data via Leetify.

Recent teammates

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