Timmeh Honks! ツ

Timmeh Honks! ツ — CS2 Stats

GB76561197984231962[U:1:23966234]Steam profile ↗✓ No bans

238Tracked matches26%Win rate2020Tracked since
CSDB Rating2.0 LearningPositional Player
Premier CS Rating12,627Blue band · top ~41% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,627 +797 3 Oct – 11 Oct · 3 days played
11,83012,627peak 12,6273 Oct11 Oct
12,627Peak Premier in tracked matches
38Days played since 2026-06-05

Premier CS Rating

  • At peak — 12,627
  • Next: Purple band at 15,000 — 2,373 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGTimmeh Honks! ツPREMIER12,627 · Blue bandcsdb.gg/stats

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Performance scores

Aim22
Positioning32
Utility28

0–100 skill scores via Leetify.

Recent form

COLD35–55–10Last 10035%Win rateWWLLLLWLLL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −0.6pp headshot accuracy · +41ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 662ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 641ms

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 (+1.2 against its own average).

Aim2.2
Utility2.8
Positioning3.2
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

ZywOo

Plays most like ZywOo 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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
Positioning3.2
Utility2.8
Mechanics2.7
Opening Duels0.3
Win Impact0.0

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time645ms−48ms
first ⅓ avg 693ms → last ⅓ avg 645ms
Headshot accuracy9.8%−1.2%
first ⅓ avg 11.1% → 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.

Personal bests

0.17Best match rating · 13–5 · dust2, 6 Sept →
29%Best headshot accuracy · 6–13 · shelter, 17 Jul →
398msFastest reaction time · 10–13 · inferno, 26 Sept →
13–1Biggest win · anubis, 9 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
2–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 63% over 8ancientWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
cacheD217–1433%-0.03
dust2A138–562%0.00
ancientD90–90%-0.03
vertigoD81–713%-0.06
mirageA85–363%-0.01
anubisD72–529%-0.06
infernoD61–517%-0.06
boulderB63–350%-0.02
fachwerkA53–260%-0.05
shelter—42–250%-0.03
nuke—42–250%-0.04
overpass—40–40%-0.04
office—20–20%-0.03
train—21–150%-0.09
warden—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 9). 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.

9.3%Headshot accuracy
27.0%Accuracy (enemy spotted)
26.8%Spray accuracy
62.3%Counter-strafing
9.5°Preaim
643msReaction time
32.4%T opening success
26.2%CT opening success
0.29Enemies flashed / flash
2.8%Flash assists
12.63HE damage / grenade
2.04Flashes / 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 9.2589% — below the 15% 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 0.295 — below the 0.5 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 32.4194% — 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.

0% 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
cache13–6-0.0411%11 Oct →
dust213–80.0412%5 Oct →
vertigo8–13-0.0713%4 Oct →
anubis3–13-0.1110%4 Oct →
cache5–13-0.077%4 Oct →
shelter9–13-0.093%4 Oct →
fachwerk13–11-0.059%4 Oct →
anubis0–13-0.083%3 Oct →
ancient3–13-0.110%3 Oct →
office10–13-0.0421%3 Oct →
anubis13–16-0.068%3 Oct →
dust24–10-0.075%3 Oct →
nuke13–70.0118%3 Oct →
nuke5–13-0.0611%27 Sept →
vertigo10–13-0.0412%27 Sept →
mirage7–13-0.035%27 Sept →
dust212–12-0.0513%27 Sept →
cache12–12-0.0611%27 Sept →
vertigo12–12-0.0112%27 Sept →
inferno10–13-0.070%26 Sept →
cache6–13-0.0814%26 Sept →
office10–13-0.0214%26 Sept →
vertigo10–13-0.068%26 Sept →
vertigo7–13-0.1013%25 Sept →
inferno9–13-0.076%25 Sept →
boulder13–10-0.025%25 Sept →
cache13–3-0.050%25 Sept →
dust213–50.016%23 Sept →
inferno10–13-0.0412%21 Sept →
mirage8–13-0.049%21 Sept →
dust213–9-0.0322%21 Sept →
dust213–70.0118%19 Sept →
cache2–13-0.0515%19 Sept →
dust211–7-0.0610%19 Sept →
boulder13–40.0610%17 Sept →
train13–4-0.077%17 Sept →
dust213–10-0.0417%16 Sept →
dust213–20.0816%13 Sept →
anubis13–30.0111%9 Sept →
cache8–13-0.077%9 Sept →
dust212–12-0.0717%9 Sept →
dust213–50.1718%6 Sept →
mirage13–100.052%5 Sept →
mirage13–90.0410%3 Sept →
anubis12–12-0.077%31 Aug →
ancient6–13-0.069%31 Aug →
inferno13–4-0.0313%31 Aug →
mirage13–20.059%20 Aug →
ancient9–130.048%20 Aug →
dust215–150.1317%19 Aug →
ancient9–13-0.0611%16 Aug →
cache13–8-0.0321%16 Aug →
overpass11–13-0.0415%16 Aug →
mirage8–130.0014%11 Aug →
ancient8–130.165%10 Aug →
mirage7–5-0.0516%10 Aug →
overpass9–13-0.042%9 Aug →
anubis13–1-0.028%9 Aug →
vertigo13–9-0.0712%9 Aug →
overpass9–13-0.052%9 Aug →
dust21–13-0.0912%9 Aug →
vertigo6–13-0.084%5 Aug →
inferno2–13-0.079%5 Aug →
ancient8–13-0.075%5 Aug →
inferno2–13-0.107%3 Aug →
train10–13-0.1212%3 Aug →
fachwerk9–13-0.0610%3 Aug →
vertigo1–13-0.106%3 Aug →
ancient12–12-0.098%27 Jul →
anubis11–13-0.0610%27 Jul →
nuke13–3-0.089%27 Jul →
cache12–12-0.0710%18 Jul →
boulder3–13-0.033%18 Jul →
shelter13–40.035%18 Jul →
fachwerk13–4-0.0311%18 Jul →
boulder1–13-0.0714%18 Jul →
fachwerk13–6-0.0416%17 Jul →
shelter6–13-0.0629%17 Jul →
boulder5–0-0.019%17 Jul →
shelter13–100.0211%12 Jul →
fachwerk6–13-0.079%12 Jul →
boulder2–13-0.0216%12 Jul →
cache9–130.037%11 Jul →
cache7–1-0.0229%10 Jul →
cache13–70.1019%4 Jul →
warden6–13-0.0213%4 Jul →
ancient1–13-0.0715%4 Jul →
cache13–9-0.0110%13 Jun →
cache13–70.0214%13 Jun →
cache11–130.0212%13 Jun →
ancient8–13-0.0412%12 Jun →
nuke11–13-0.027%12 Jun →
cache12–12-0.1012%12 Jun →
cache11–13-0.078%10 Jun →
cache12–12-0.0510%10 Jun →
overpass6–13-0.024%10 Jun →
cache9–13-0.058%6 Jun →
cache8–13-0.029%6 Jun →
cache9–13-0.052%6 Jun →
mirage13–6-0.059%5 Jun →

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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