Grumble

Grumble — CS2 Stats

76561197988383355[U:1:28117627]Steam profile ↗✓ No bans

1,258Tracked matches33%Win rate2020Tracked since
CSDB Rating3.3 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,258 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,187 -4,220 18 Aug – 21 Nov · 19 days played
5,0669,407peak 9,40718 Aug21 Nov
9,407Peak Premier in tracked matches
53Days played since 2024-08-18

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

Performance scores

Aim44
Positioning40
Utility8

0–100 skill scores via Leetify.

Recent form

COLD39–58–3Last 10039%Win rateLLWLLWLLWL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −9.1pp headshot accuracy · +6ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 622ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim4.4
Utility0.8
Positioning4.0
Opening Duels1.5

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim4.4
Positioning4.0
Utility0.8
Mechanics5.3
Opening Duels2.3
Win Impact0.0

Composite 3.3/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time637ms−58ms
first ⅓ avg 694ms → last ⅓ avg 637ms
Headshot accuracy14.7%+1.3%
first ⅓ avg 13.3% → last ⅓ avg 14.7%

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

0.14Best match rating · 2–13 · dust2, 27 Aug →
100%Best headshot accuracy · 10–13 · office, 14 Jun →
422msFastest reaction time · 10–13 · office, 14 Jun →
13–3Biggest win · dust2, 22 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 46% over 35officeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B3516–1946%-0.01
nukeC125–742%-0.01
officeD102–820%-0.04
ancientD93–633%-0.03
vertigoD93–633%-0.04
mirageC73–443%-0.02
overpassC52–340%-0.03
anubis—41–325%-0.01
inferno—41–325%-0.07
italy—22–0100%0.09
grail—10–10%-0.05
edin—10–10%-0.09
train—11–0100%-0.00

Across the last 100 tracked matches.

Skill profile

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

15.4%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.0%Spray accuracy
74.1%Counter-strafing
13.4°Preaim
637msReaction time
15.2%T opening success
48.1%CT opening success
0.01Enemies flashed / flash
0.0%Flash assists
7.44HE damage / grenade
0.35Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3749° — above the 12° mark we flag

    Aim Training →
  2. 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 0.0145 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0610%12 Jul →
nuke3–130.026%12 Jul →
mirage13–80.0150%5 Jul →
anubis6–130.024%5 Jul →
mirage10–13-0.000%28 Jun →
office13–10-0.029%26 Jun →
dust211–13-0.075%25 Jun →
office9–13-0.078%25 Jun →
dust213–6-0.0011%22 Jun →
office10–13-0.0216%22 Jun →
dust213–30.1121%22 Jun →
dust25–130.036%21 Jun →
office10–130.03100%14 Jun →
nuke13–30.058%14 Jun →
mirage11–130.028%14 Jun →
ancient13–30.0717%14 Jun →
grail3–13-0.0510%15 May →
office8–13-0.0321%21 Apr →
office13–11-0.049%23 Mar →
dust29–130.0911%23 Mar →
mirage2–13-0.049%3 Mar →
nuke13–16-0.0618%26 Feb →
dust27–13-0.0315%24 Feb →
dust210–13-0.0318%17 Feb →
dust213–90.019%11 Feb →
ancient9–13-0.0210%21 Dec →
mirage13–100.027%21 Nov →
dust29–13-0.019%18 Nov →
edin4–13-0.090%15 Nov →
train13–6-0.0030%15 Nov →
dust27–13-0.0113%15 Nov →
overpass8–13-0.0911%10 Nov →
vertigo9–13-0.048%8 Nov →
dust212–12-0.094%22 Oct →
inferno0–13-0.0811%19 Oct →
dust26–13-0.0613%18 Oct →
italy13–30.0913%18 Oct →
italy13–110.098%15 Oct →
anubis5–130.0418%9 Oct →
dust213–5-0.0513%4 Oct →
vertigo5–130.018%3 Oct →
inferno11–13-0.107%3 Oct →
inferno13–8-0.0421%2 Oct →
ancient13–10-0.0020%2 Oct →
nuke12–16-0.1112%2 Oct →
nuke10–13-0.0610%1 Oct →
dust213–4-0.0410%1 Oct →
dust213–3-0.0121%30 Sept →
office7–13-0.0512%30 Sept →
office9–130.018%30 Sept →
dust29–130.0419%30 Sept →
dust28–130.0717%27 Sept →
ancient9–13-0.0217%27 Sept →
ancient5–13-0.0620%27 Sept →
dust213–11-0.056%27 Sept →
dust213–10-0.0113%23 Sept →
mirage8–13-0.1414%22 Sept →
vertigo4–13-0.0811%22 Sept →
nuke5–130.0210%22 Sept →
vertigo9–13-0.009%21 Sept →
nuke13–70.0916%21 Sept →
dust213–70.0010%21 Sept →
ancient13–9-0.0517%21 Sept →
anubis13–3-0.066%21 Sept →
inferno8–13-0.0410%20 Sept →
vertigo13–10-0.073%20 Sept →
dust213–9-0.047%20 Sept →
nuke12–12-0.0514%20 Sept →
dust213–70.0212%20 Sept →
overpass13–80.040%18 Sept →
overpass10–13-0.059%16 Sept →
overpass13–3-0.0114%16 Sept →
anubis8–13-0.076%16 Sept →
dust24–130.0423%16 Sept →
dust26–13-0.0215%15 Sept →
office5–13-0.119%15 Sept →
office8–13-0.0833%14 Sept →
dust211–13-0.0511%13 Sept →
dust213–11-0.0616%13 Sept →
ancient11–13-0.050%11 Sept →
nuke13–7-0.035%11 Sept →
vertigo13–11-0.0210%11 Sept →
dust211–13-0.0910%8 Sept →
ancient9–13-0.075%8 Sept →
overpass12–12-0.0411%7 Sept →
mirage13–10-0.0017%7 Sept →
vertigo13–10-0.0527%7 Sept →
dust213–60.0212%7 Sept →
nuke4–13-0.0119%7 Sept →
dust27–13-0.0410%3 Sept →
dust27–13-0.0416%1 Sept →
nuke13–100.0525%1 Sept →
dust213–40.0111%31 Aug →
dust26–20.085%31 Aug →
dust213–11-0.0228%28 Aug →
dust22–130.1425%27 Aug →
ancient13–16-0.038%25 Aug →
vertigo9–13-0.040%19 Aug →
vertigo4–13-0.0531%19 Aug →
nuke13–7-0.014%18 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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