Timmes

Timmes — CS2 Stats

AT76561198050587025[U:1:90321297]Steam profile ↗✓ No bans

209Tracked matches52%Win rate2023Tracked since
200Hours in CS
CSDB Rating4.3 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+20Tracked matches · now 209
+21.0ppWin rate · 30.8% → 51.7%

Rating over time

Premier CS Rating: 3,208 -105 31 May – 19 Jun · 7 days played
2,8983,364peak 3,36431 May19 Jun
3,369Peak Premier in tracked matches
55Days played since 2026-05-26

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

Performance scores

Aim35
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

COLD37–52–11Last 10037%Win rateLWLWLLLWLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +4.8pp headshot accuracy · +98ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 669ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 709ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 661ms

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 (+1.6 against its own average).

Aim3.5
Utility4.6
Positioning5.4
Opening Duels1.5

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 66% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.5
Positioning5.4
Utility4.6
Mechanics3.6
Opening Duels3.9
Win Impact5.6

Composite 4.3/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time667ms−55ms
first ⅓ avg 723ms → last ⅓ avg 667ms
Headshot accuracy8.3%−4.6%
first ⅓ avg 12.9% → last ⅓ avg 8.3%

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

0.13Best match rating · 13–2 · vertigo, 4 Jul →
33%Best headshot accuracy · 13–2 · anubis, 28 Jul →
445msFastest reaction time · 9–13 · office, 29 Aug →
13–0Biggest win · anubis, 27 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
officeC198–1142%-0.02
anubisA169–756%-0.02
dust2D93–633%-0.02
nukeD82–625%-0.05
vertigoD82–625%-0.02
mirageD72–529%-0.02
infernoD60–60%-0.02
cacheD62–433%-0.03
fachwerkD62–433%-0.06
ancientS64–267%0.02
boulder—32–167%-0.00
train—20–20%-0.07
shelter—21–150%-0.08
italy—10–10%-0.03
overpass—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,652Lifetime kills
0.82K/D
680Matches
36.3%Match win rate
32.5%Headshot %
1.7%Shot accuracy
1,018MVPs
200Hours (in match)
546Bombs planted
118Bombs defused

Most-used weapons

Lifetime map wins

594inferno
545office
497nuke
488dust2
314vertigo
215train
99italy
43aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

8.8%Headshot accuracy
28.6%Accuracy (enemy spotted)
43.4%Spray accuracy
66.1%Counter-strafing
10.0°Preaim
657msReaction time
52.4%T opening success
38.9%CT opening success
0.48Enemies flashed / flash
6.0%Flash assists
8.35HE damage / grenade
6.34Flashes / 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 8.7943% — 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 0.4839 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.9422% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.008%3 Oct →
dust213–8-0.019%3 Oct →
inferno11–130.0310%3 Oct →
office13–11-0.0116%2 Oct →
italy9–13-0.032%2 Oct →
nuke1–13-0.0814%2 Oct →
nuke3–13-0.0916%2 Oct →
cache13–70.0215%1 Oct →
dust20–11-0.110%1 Oct →
inferno4–90.0118%30 Sept →
anubis8–40.070%29 Sept →
mirage13–80.014%29 Sept →
anubis13–4-0.048%28 Sept →
vertigo13–9-0.044%23 Sept →
vertigo8–13-0.047%23 Sept →
vertigo3–13-0.0215%23 Sept →
office13–4-0.010%22 Sept →
mirage13–90.0111%22 Sept →
anubis7–1-0.040%22 Sept →
anubis13–90.0110%22 Sept →
inferno7–130.0012%21 Sept →
nuke6–13-0.050%21 Sept →
anubis13–6-0.017%21 Sept →
inferno12–12-0.027%20 Sept →
anubis2–13-0.025%20 Sept →
office8–130.003%15 Sept →
anubis13–50.0116%14 Sept →
dust28–13-0.0411%13 Sept →
nuke13–8-0.049%12 Sept →
office13–90.0919%12 Sept →
dust213–100.0311%11 Sept →
dust28–13-0.053%11 Sept →
fachwerk10–13-0.093%9 Sept →
office7–13-0.0617%7 Sept →
office5–130.017%3 Sept →
office2–13-0.1020%3 Sept →
office13–70.0713%2 Sept →
mirage6–13-0.027%31 Aug →
boulder12–12-0.017%30 Aug →
office9–13-0.084%29 Aug →
cache12–12-0.016%29 Aug →
cache12–12-0.0815%27 Aug →
office10–13-0.078%24 Aug →
nuke3–13-0.0616%23 Aug →
mirage9–13-0.069%20 Aug →
anubis13–100.035%20 Aug →
mirage3–13-0.0222%20 Aug →
office9–13-0.124%17 Aug →
fachwerk13–8-0.0019%17 Aug →
train7–13-0.0412%13 Aug →
anubis11–13-0.079%11 Aug →
office10–13-0.078%10 Aug →
ancient13–60.107%9 Aug →
ancient5–130.027%9 Aug →
vertigo10–13-0.0514%7 Aug →
office0–9-0.0114%7 Aug →
office13–11-0.0115%7 Aug →
anubis12–12-0.0910%7 Aug →
vertigo7–13-0.0411%2 Aug →
anubis13–2-0.0233%28 Jul →
anubis8–13-0.038%28 Jul →
anubis0–13-0.036%28 Jul →
office13–90.046%27 Jul →
anubis12–12-0.052%27 Jul →
dust211–13-0.023%21 Jul →
fachwerk8–13-0.1113%15 Jul →
shelter6–9-0.070%15 Jul →
fachwerk5–13-0.0511%13 Jul →
boulder13–110.047%13 Jul →
fachwerk12–12-0.110%12 Jul →
fachwerk13–80.0112%12 Jul →
shelter13–6-0.109%11 Jul →
boulder13–10-0.0411%11 Jul →
office2–13-0.1030%8 Jul →
office12–12-0.0211%8 Jul →
office13–8-0.038%8 Jul →
ancient13–90.0113%4 Jul →
cache10–13-0.0914%4 Jul →
vertigo13–20.1312%4 Jul →
mirage1–11-0.060%4 Jul →
cache9–13-0.0113%1 Jul →
cache13–10-0.0118%1 Jul →
vertigo1–9-0.077%30 Jun →
inferno12–12-0.060%30 Jun →
train4–13-0.1116%21 Jun →
dust25–13-0.0018%19 Jun →
nuke10–13-0.0310%18 Jun →
nuke13–100.0118%16 Jun →
inferno10–13-0.0616%8 Jun →
ancient11–13-0.027%8 Jun →
ancient13–9-0.0113%7 Jun →
dust27–13-0.0114%7 Jun →
dust213–110.0215%6 Jun →
vertigo12–12-0.0520%6 Jun →
overpass15–15-0.0223%31 May →
ancient13–20.0129%31 May →
nuke8–13-0.079%31 May →
anubis6–13-0.0311%28 May →
anubis13–00.0318%27 May →
office13–50.0215%26 May →

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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