Timopunktcom

Timopunktcom — CS2 Stats

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

1,441Tracked matches45%Win rate2021Tracked since
3,335Hours in CS15Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating17,869Purple band · top ~17% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 17,869 +1,523 21 Jun – 30 Sept · 30 days played
13,67618,192peak 18,19221 Jun30 Sept
18,192Peak Premier in tracked matches
44Days played since 2026-06-21

Premier CS Rating

  • 323 below peak (18,192)
  • +684 over 30 days · improving
  • +1,490 over 90 days
  • Next: Pink band at 20,000 — 2,131 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 4 among CSDB-tracked players (n=13,989), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate38.5%42.7%43.8%5.2% short
Shot accuracy14.2%11.3%12.0%above
Kill/death ratio0.950.991.020.07 short
Match win rate41.3%43.9%44.7%3.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTimopunktcomFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,869 · 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

Aim67
Positioning48
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateTLLWLWWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −2.2pp headshot accuracy · +8ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 608ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

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).

Aim6.7
Utility4.2
Positioning4.8
Opening Duels2.7
Clutch2.6

Strong CT-side opener

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

jL

Plays most like jL 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim6.7
Positioning4.8
Utility4.2
Mechanics5.7
Opening Duels3.1
Win Impact3.3

Composite 5.1/10 (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 -0.03 → last ⅓ avg -0.04
Reaction time587ms−95ms
first ⅓ avg 682ms → last ⅓ avg 587ms
Headshot accuracy15.8%−4.5%
first ⅓ avg 20.4% → last ⅓ avg 15.8%

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

0.07Best match rating · 13–1 · cache, 6 Aug →
46%Best headshot accuracy · 13–10 · office, 5 Jul →
406msFastest reaction time · 1–13 · ancient, 14 Aug →
13–1Biggest win · cache, 12 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 62% over 21infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheA2716–1159%-0.02
dust2A2113–862%-0.03
mirageC135–838%-0.04
ancientC135–838%-0.04
infernoD93–633%-0.05
anubisC73–443%-0.04
nukeC52–340%-0.02
office—22–0100%-0.02
train—11–0100%0.05
vertigo—10–10%-0.17
overpass—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,000Lifetime kills
0.95K/D
3,397Matches
41.3%Match win rate
38.5%Headshot %
14.2%Shot accuracy · Top 50% of Level 4 players
6,560MVPs
1,179Hours (in match)
2,722Bombs planted
494Bombs defused

Most-used weapons

Lifetime map wins

8,442dust2
5,036inferno
1,227nuke
745vertigo
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

23Matches
39%Win rate
0.73Avg K/D
63.7ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient540%0.6511.8
Overpass367%0.9115.3
Vertigo333%0.9714.3
Anubis333%0.728.0
Mirage20%0.274.0
Inferno10%0.647.0
Dust210%0.7613.0

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.

16.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.3%Spray accuracy
75.5%Counter-strafing
8.6°Preaim
592msReaction time
33.5%T opening success
51.1%CT opening success
0.41Enemies flashed / flash
6.7%Flash assists
9.50HE damage / grenade
5.26Flashes / 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. 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 0.4131 — below the 0.5 mark we flag

    Grenade Lineups →
  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 33.4628% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
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 →
inferno9–13-0.0716%24 Jul →
cache13–3-0.0131%24 Jul →
ancient13–6-0.0424%24 Jul →
vertigo1–9-0.1717%22 Jul →
mirage13–6-0.0420%20 Jul →
dust213–3-0.0113%18 Jul →
mirage13–9-0.057%17 Jul →
mirage3–13-0.1133%16 Jul →
dust213–8-0.0310%16 Jul →
cache8–13-0.0538%16 Jul →
mirage14–160.0217%15 Jul →
ancient9–13-0.0918%15 Jul →
cache13–70.0410%15 Jul →
nuke10–13-0.0514%13 Jul →
ancient6–130.0024%13 Jul →
mirage6–13-0.0624%12 Jul →
cache13–11-0.0325%12 Jul →
anubis15–150.0212%9 Jul →
cache13–80.0329%9 Jul →
dust26–13-0.0215%9 Jul →
mirage6–13-0.0631%8 Jul →
inferno12–12-0.0819%8 Jul →
cache13–6-0.0127%8 Jul →
cache12–12-0.0538%8 Jul →
cache13–9-0.0416%7 Jul →
office13–10-0.0246%5 Jul →
anubis13–7-0.0618%5 Jul →
inferno8–13-0.074%4 Jul →
mirage9–13-0.0839%3 Jul →
dust213–9-0.0411%3 Jul →
cache2–13-0.0314%3 Jul →
cache13–80.0121%2 Jul →
dust213–60.0123%2 Jul →
dust28–13-0.0419%30 Jun →
nuke10–13-0.075%30 Jun →
mirage13–90.0225%30 Jun →
cache8–13-0.1013%27 Jun →
cache13–9-0.0116%21 Jun →
ancient15–15-0.0419%21 Jun →
dust216–14-0.0618%21 Jun →
overpass13–30.0216%21 Jun →

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.