Grumpy — CS2 Stats

76561198035842849[U:1:75577121]

515Tracked matches43%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 515 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 6 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

4,999Peak Premier in tracked matches
46Days played since 2025-06-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGGrumpyFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning38
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateWWWLWLWTLW

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · +0.8pp headshot accuracy · +3ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 658ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 612ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 610ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.8 against its own average).

Aim3.6
Utility5.1
Positioning3.8
Opening Duels1.0

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

NiKo

Plays most like NiKo 69% 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. 682ms 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

Aim3.6
Positioning3.8
Utility5.1
Mechanics6.5
Opening Duels0.9
Win Impact2.6

Composite 3.9/10 (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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time635ms−83ms
first ⅓ avg 718ms → last ⅓ avg 635ms
Headshot accuracy12.1%−0.5%
first ⅓ avg 12.6% → last ⅓ avg 12.1%

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.

Personal bests

0.19Best match rating · 9–3 · nuke, 10 Jul
43%Best headshot accuracy · 4–0 · inferno, 10 Jul
453msFastest reaction time · 3–9 · inferno, 24 Jul
13–1Biggest win · mirage, 20 Jul

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
59In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC34122235%-0.03
infernoD1861233%-0.01
dust2A116555%-0.00
nukeB105550%0.01
overpassS64267%0.03
anubisS64267%-0.00
cacheA53260%-0.03
vertigoC52340%0.02
ancient41325%-0.03
poseidon1010%-0.23

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno 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.

11.5%Headshot accuracy
29.3%Accuracy (enemy spotted)
29.9%Spray accuracy
79.4%Counter-strafing
10.2°Preaim
682msReaction time
26.0%T opening success
37.4%CT opening success
0.61Enemies flashed / flash
4.5%Flash assists
11.04HE damage / grenade
10.17Flashes / 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 11.4981% — below the 15% mark we flag

    Aim Training
  2. 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 26.0258% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–6-0.0813%28 Aug
cache13–2-0.0211%26 Aug
nuke9–70.1014%26 Aug
nuke7–90.0114%27 Jul
inferno9–50.127%27 Jul
cache5–13-0.0411%26 Jul
nuke9–5-0.159%26 Jul
inferno8–80.129%26 Jul
inferno7–9-0.0219%25 Jul
vertigo9–60.169%25 Jul
inferno9–30.0525%25 Jul
vertigo9–70.016%24 Jul
poseidon3–9-0.235%24 Jul
inferno3–9-0.125%24 Jul
overpass9–4-0.034%18 Jul
nuke9–70.058%17 Jul
inferno3–9-0.0910%17 Jul
inferno5–9-0.0310%16 Jul
inferno6–9-0.016%16 Jul
nuke2–13-0.0329%11 Jul
anubis13–6-0.056%11 Jul
cache13–60.0119%10 Jul
ancient13–40.0121%10 Jul
mirage9–13-0.049%10 Jul
anubis8–130.026%10 Jul
cache3–13-0.0512%10 Jul
dust213–60.0115%10 Jul
overpass9–50.1715%10 Jul
inferno7–9-0.0310%10 Jul
inferno9–30.122%10 Jul
inferno5–9-0.0510%10 Jul
nuke9–10.188%10 Jul
inferno4–0-0.0643%10 Jul
nuke9–30.1925%10 Jul
inferno7–90.0419%8 Jul
nuke4–9-0.148%8 Jul
cache13–10-0.0515%8 Jul
inferno9–13-0.065%8 Jul
nuke11–13-0.0211%7 Jul
nuke7–9-0.0616%23 Jan
mirage13–10-0.077%23 Dec
mirage9–13-0.014%12 Dec
mirage10–130.009%8 Dec
mirage4–13-0.0614%7 Dec
dust210–13-0.028%7 Dec
mirage2–13-0.070%5 Dec
mirage5–130.0210%3 Dec
mirage12–12-0.0216%30 Nov
dust213–5-0.007%16 Nov
mirage13–60.0113%16 Nov
mirage10–13-0.0440%2 Nov
mirage13–5-0.1010%17 Oct
overpass13–60.056%9 Oct
mirage6–13-0.067%23 Sept
dust210–130.019%18 Sept
overpass13–20.019%18 Sept
vertigo12–12-0.047%17 Sept
mirage12–12-0.0311%17 Sept
mirage9–13-0.0414%16 Sept
mirage13–100.027%16 Sept
vertigo11–13-0.0417%9 Sept
mirage13–8-0.0210%9 Sept
dust213–9-0.0116%9 Sept
inferno7–13-0.047%8 Sept
dust212–120.0813%8 Sept
mirage13–6-0.0719%8 Sept
mirage5–13-0.058%4 Sept
dust26–13-0.0515%4 Sept
mirage13–4-0.039%26 Aug
mirage13–30.055%26 Aug
overpass12–16-0.0411%26 Aug
mirage7–13-0.053%24 Aug
mirage13–3-0.0411%24 Aug
overpass10–13-0.008%23 Aug
inferno13–30.0319%23 Aug
mirage7–13-0.015%22 Aug
anubis5–13-0.0113%22 Aug
anubis13–5-0.0611%22 Aug
dust28–13-0.0415%4 Aug
mirage13–10-0.0110%4 Aug
mirage10–13-0.1115%3 Aug
mirage12–160.047%3 Aug
mirage13–10.0119%20 Jul
inferno10–130.0116%13 Jul
dust213–80.0211%13 Jul
anubis13–100.0512%13 Jul
mirage10–130.0111%12 Jul
mirage5–13-0.083%17 Jun
ancient3–13-0.0311%17 Jun
vertigo9–13-0.0110%17 Jun
mirage11–13-0.0414%14 Jun
ancient11–13-0.067%14 Jun
dust213–30.0123%13 Jun
mirage10–13-0.0418%13 Jun
ancient2–13-0.0432%13 Jun
anubis13–110.0314%13 Jun
mirage5–13-0.0414%13 Jun
dust213–11-0.0414%11 Jun
mirage13–10-0.0113%11 Jun
mirage4–13-0.0619%6 Jun

Match data via Leetify.

Recent teammates

Milestones

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