Timopunktcom

Timopunktcom — CS2 Stats

DE76561198138533475[U:1:178267747]Steam profile ↗✓ No bans

1,491Tracked matches46%Win rate2021Tracked since
3,386Hours in CS18Hrs last 2 wks
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating17,004Purple band · top ~20.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (3 days ago). 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: 17,004 +2,721 24 Jul – 29 Oct · 39 days played
14,28318,192peak 18,19224 Jul29 Oct
18,192Peak Premier in tracked matches
42Days played since 2026-07-24

Premier CS Rating

  • 1,188 below peak (18,192)
  • -1,025 over 30 days · declining
  • +1,484 over 90 days
  • Next: Pink band at 20,000 — 2,996 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-22
  • Blue band first seen 2026-10-22

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate38.7%44.4%46.9%8.2% short
Shot accuracy14.0%11.9%13.0%above
Kill/death ratio0.941.031.080.14 short
Match win rate41.3%45.2%46.7%5.4% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTimopunktcomPREMIER17,004 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWTLWWLLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −2.5pp headshot accuracy · −6ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 625ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 616ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim6.4
Utility5.3
Positioning5.0
Opening Duels1.1
Clutch6.0

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

b1t

Plays most like b1t 83% 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. 599ms 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

Aim6.4
Positioning5.0
Utility5.3
Mechanics5.7
Opening Duels3.1
Win Impact3.7

Composite 5.3/10 (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-0.04−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time611ms−31ms
first ⅓ avg 642ms → last ⅓ avg 611ms
Headshot accuracy14.7%−4.9%
first ⅓ avg 19.5% → 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

0.07Best match rating · 13–1 · cache, 6 Aug →
37%Best headshot accuracy · 13–2 · cache, 4 Aug →
406msFastest reaction time · 1–13 · ancient, 14 Aug →
13–1Biggest win · cache, 12 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 58% over 26mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
cacheA2615–1158%-0.02
dust2B1910–953%-0.04
mirageD134–931%-0.03
infernoD124–833%-0.04
nukeC104–640%-0.03
ancientC94–544%-0.05
anubisB84–450%-0.05
vertigo—11–0100%-0.02
office—11–0100%-0.02
train—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,779Lifetime kills
0.94K/D
3,462Matches
41.3%Match win rate
38.7%Headshot %
14.0%Shot accuracy · Top 50% of Purple band
6,637MVPs
1,203Hours (in match)
2,759Bombs planted
501Bombs defused

Most-used weapons

Lifetime map wins

8,536dust2
5,131inferno
1,328nuke
758vertigo
296train
202office
106cbble
40lake

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

Faceit stats

Combat

36Matches
44%Win rate
0.72Avg K/D
59.4ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient633%0.6211.7
Dust2540%0.7013.0
Anubis425%0.678.0
Vertigo333%0.9714.3
Nuke367%0.9411.3
Cache367%0.829.3
Overpass367%0.9115.3
Mirage20%0.274.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

15.0%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.2%Spray accuracy
75.6%Counter-strafing
9.2°Preaim
599msReaction time
49.5%T opening success
35.2%CT opening success
0.55Enemies flashed / flash
4.7%Flash assists
8.27HE damage / grenade
7.62Flashes / 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 14.9694% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 35.1989% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.038%29 Oct →
cache13–5-0.0513%29 Oct →
inferno15–15-0.0314%29 Oct →
cache11–13-0.0320%26 Oct →
anubis13–8-0.036%26 Oct →
cache13–6-0.0212%25 Oct →
mirage4–13-0.0323%25 Oct →
dust29–13-0.0217%25 Oct →
dust210–13-0.1012%24 Oct →
mirage16–14-0.034%24 Oct →
nuke15–15-0.0214%22 Oct →
vertigo13–3-0.028%22 Oct →
mirage7–13-0.085%21 Oct →
cache13–70.0026%21 Oct →
nuke10–13-0.0510%20 Oct →
cache6–13-0.0014%20 Oct →
mirage5–13-0.0223%19 Oct →
nuke13–8-0.0217%18 Oct →
dust213–7-0.0824%18 Oct →
dust28–13-0.0814%18 Oct →
mirage15–15-0.0417%17 Oct →
inferno15–15-0.0118%17 Oct →
anubis13–9-0.0117%17 Oct →
cache11–13-0.0024%17 Oct →
cache13–100.0416%17 Oct →
nuke7–13-0.0319%17 Oct →
nuke2–13-0.1113%16 Oct →
nuke14–16-0.0520%16 Oct →
cache13–9-0.0519%16 Oct →
cache13–3-0.060%15 Oct →
dust213–11-0.049%15 Oct →
mirage12–16-0.0318%10 Oct →
anubis6–13-0.0713%10 Oct →
nuke13–7-0.0119%10 Oct →
inferno9–13-0.0321%8 Oct →
inferno13–8-0.0413%8 Oct →
inferno9–13-0.0315%5 Oct →
cache13–60.0126%5 Oct →
mirage13–110.0511%5 Oct →
inferno10–13-0.0717%4 Oct →
cache10–13-0.0213%4 Oct →
cache15–15-0.0417%30 Sept →
mirage5–13-0.054%30 Sept →
cache11–13-0.0012%29 Sept →
cache13–8-0.0315%29 Sept →
ancient9–13-0.0617%26 Sept →
inferno13–10-0.0519%26 Sept →
cache13–6-0.058%25 Sept →
anubis5–13-0.119%23 Sept →
inferno13–10-0.0127%23 Sept →
mirage13–11-0.0316%23 Sept →
ancient13–100.0117%22 Sept →
dust211–13-0.0715%22 Sept →
dust23–13-0.0617%22 Sept →
cache13–90.0114%17 Sept →
inferno13–9-0.0323%17 Sept →
cache5–13-0.096%13 Sept →
inferno5–13-0.0422%13 Sept →
anubis9–13-0.0315%10 Sept →
ancient9–13-0.0223%4 Sept →
cache7–13-0.0113%4 Sept →
nuke11–130.038%1 Sept →
anubis16–13-0.0522%1 Sept →
inferno14–16-0.0420%30 Aug →
cache5–13-0.0720%30 Aug →
dust213–10-0.0620%30 Aug →
ancient13–16-0.0019%28 Aug →
mirage11–13-0.0119%28 Aug →
office13–5-0.0211%16 Aug →
train13–80.0515%16 Aug →
nuke13–9-0.0413%14 Aug →
ancient1–13-0.130%14 Aug →
dust213–4-0.0217%13 Aug →
inferno2–13-0.1032%13 Aug →
cache13–50.0418%13 Aug →
dust29–13-0.0413%12 Aug →
dust213–9-0.0419%12 Aug →
cache13–60.0020%12 Aug →
cache13–10.0027%12 Aug →
dust213–40.0212%11 Aug →
anubis10–130.0118%11 Aug →
nuke13–90.0324%10 Aug →
dust213–7-0.0033%10 Aug →
cache3–7-0.0814%10 Aug →
dust25–130.0532%6 Aug →
cache13–10.0727%6 Aug →
ancient5–13-0.075%4 Aug →
dust213–10-0.0231%4 Aug →
cache13–20.0437%4 Aug →
anubis13–9-0.0927%2 Aug →
cache11–13-0.0117%2 Aug →
ancient13–8-0.0218%2 Aug →
mirage11–130.0017%1 Aug →
dust24–13-0.0929%1 Aug →
dust213–3-0.0019%1 Aug →
mirage13–10-0.0518%30 Jul →
ancient13–9-0.058%27 Jul →
ancient13–7-0.0517%27 Jul →
dust213–10-0.0615%27 Jul →
dust24–13-0.0524%24 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.