'timscurr

'timscurr — CS2 Stats

76561198301512416[U:1:341246688]Steam profile ↗✓ No bans

276Tracked matches55%Win rate2020Tracked since
901Hours in CS5Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating11,689Blue band · top ~45.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 11,689 +5,915 25 Jun – 27 Oct · 34 days played
5,53412,141peak 12,14125 Jun27 Oct
12,141Peak Premier in tracked matches
44Days played since 2026-06-25

Premier CS Rating

  • 452 below peak (12,141)
  • +339 over 30 days · steady
  • +1,791 over 90 days
  • Next: Purple band at 15,000 — 3,311 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.5%41.8%42.7%2.2% short
Shot accuracy14.4%12.2%11.2%above
Kill/death ratio0.810.980.990.19 short
Match win rate57.3%43.3%43.9%above

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG'timscurrFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,689 · Blue 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

Aim51
Positioning52
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWWLLTLWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.9pp headshot accuracy · −131ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 500ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 623ms

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 (+1.7 against its own average).

Aim5.1
Utility1.9
Positioning5.2
Opening Duels2.2
Clutch4.8

Strong T-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

m0NESY

Plays most like m0NESY 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

CT openings. Opening success drops from 55% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 594ms 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

Aim5.1
Positioning5.2
Utility1.9
Mechanics5.5
Opening Duels3.1
Win Impact6.7

Composite 4.4/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time588ms−34ms
first ⅓ avg 622ms → last ⅓ avg 588ms
Headshot accuracy17.8%+5.8%
first ⅓ avg 12.0% → last ⅓ avg 17.8%

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

0.12Best match rating · 13–8 · ancient, 15 Jul →
100%Best headshot accuracy · 7–3 · nuke, 21 Aug →
414msFastest reaction time · 5–13 · anubis, 27 Oct →
13–1Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 64% over 11anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA1810–856%-0.01
nukeA1811–761%-0.00
dust2B178–947%-0.03
infernoA148–657%-0.01
cacheA117–464%-0.00
anubisD93–633%-0.04
mirageC83–538%-0.00
office—10–10%-0.01
fachwerk—10–10%-0.08
boulder—11–0100%-0.03
train—10–10%-0.01
italy—11–0100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

22,997Lifetime kills
0.81K/D
1,648Matches
57.3%Match win rate · Top 5% of Level 3 players
40.5%Headshot %
14.4%Shot accuracy · Top 50% of Level 3 players
2,798MVPs
504Hours (in match)
1,043Bombs planted
201Bombs defused

Most-used weapons

Lifetime map wins

2,360dust2
1,984inferno
723nuke
131cbble
117train
74vertigo
46office
37lake

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

Faceit stats

Combat

17Matches
53%Win rate
0.75Avg K/D
59.0ADR
37%Headshot %

Clutches & streaks

44%1v1 clutch win
31%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2633%0.6810.8
Cache475%0.8811.3
Inferno3100%0.7610.7
Nuke10%0.448.0
Mirage1100%0.7818.0
Ancient10%0.7710.0
Anubis10%0.8814.0

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.

17.3%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.5%Spray accuracy
74.8%Counter-strafing
10.3°Preaim
594msReaction time
54.6%T opening success
29.4%CT opening success
0.21Enemies flashed / flash
4.0%Flash assists
5.73HE damage / grenade
2.64Flashes / 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 0.2058 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 29.3776% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.079%27 Oct →
cache13–100.0116%27 Oct →
ancient13–110.0024%27 Oct →
anubis6–13-0.0217%22 Oct →
mirage9–13-0.0516%22 Oct →
cache15–150.1018%16 Oct →
ancient11–130.027%16 Oct →
dust213–10-0.0717%15 Oct →
nuke13–10.0718%9 Oct →
nuke13–11-0.0331%2 Oct →
mirage8–13-0.0217%2 Oct →
nuke13–110.0625%25 Sept →
nuke13–10-0.0519%12 Sept →
dust210–13-0.0224%12 Sept →
cache16–14-0.0416%12 Sept →
dust29–13-0.047%12 Sept →
mirage8–13-0.0113%12 Sept →
dust216–13-0.0619%11 Sept →
ancient6–13-0.0313%11 Sept →
nuke13–6-0.0113%11 Sept →
inferno7–13-0.0420%7 Sept →
cache3–13-0.0518%7 Sept →
anubis13–7-0.0416%7 Sept →
cache13–5-0.009%28 Aug →
office4–13-0.010%26 Aug →
nuke7–3-0.01100%21 Aug →
mirage13–50.0510%20 Aug →
inferno13–110.0713%19 Aug →
mirage13–110.0414%19 Aug →
cache11–13-0.0214%19 Aug →
inferno11–130.0213%17 Aug →
dust22–13-0.0313%16 Aug →
ancient11–13-0.0611%16 Aug →
nuke9–13-0.0412%16 Aug →
inferno5–9-0.0515%15 Aug →
cache7–13-0.0010%11 Aug →
dust213–8-0.0510%11 Aug →
mirage10–13-0.0611%9 Aug →
ancient13–11-0.059%9 Aug →
inferno13–30.0713%6 Aug →
ancient13–10-0.047%6 Aug →
nuke5–13-0.0915%6 Aug →
dust214–160.0221%5 Aug →
dust27–13-0.0515%4 Aug →
inferno6–13-0.076%4 Aug →
ancient9–13-0.078%3 Aug →
dust213–8-0.0323%3 Aug →
anubis6–13-0.027%3 Aug →
ancient13–9-0.0215%3 Aug →
ancient13–70.034%1 Aug →
cache13–40.0216%1 Aug →
nuke13–60.0717%1 Aug →
nuke16–140.029%31 Jul →
nuke6–13-0.0631%30 Jul →
dust216–120.0119%30 Jul →
inferno16–140.019%29 Jul →
dust213–6-0.0510%29 Jul →
anubis10–130.006%27 Jul →
nuke13–90.0315%27 Jul →
dust25–13-0.0327%27 Jul →
inferno13–9-0.018%23 Jul →
anubis11–13-0.0715%22 Jul →
ancient13–90.0213%22 Jul →
ancient11–13-0.0110%21 Jul →
ancient13–7-0.103%21 Jul →
anubis13–8-0.0312%21 Jul →
anubis6–13-0.082%21 Jul →
dust213–80.0112%21 Jul →
nuke13–5-0.0116%21 Jul →
ancient15–15-0.046%20 Jul →
anubis16–14-0.0113%19 Jul →
inferno16–13-0.0015%19 Jul →
ancient13–90.0917%19 Jul →
ancient3–13-0.0612%19 Jul →
fachwerk4–13-0.086%19 Jul →
ancient13–60.0617%19 Jul →
ancient7–130.009%18 Jul →
nuke15–15-0.0215%18 Jul →
inferno13–90.0113%17 Jul →
nuke11–130.026%17 Jul →
inferno4–13-0.029%17 Jul →
dust28–13-0.0419%17 Jul →
nuke16–120.069%15 Jul →
cache13–5-0.0118%15 Jul →
inferno16–13-0.0513%15 Jul →
ancient13–80.128%15 Jul →
nuke9–130.0013%14 Jul →
dust211–13-0.0521%14 Jul →
dust213–60.0614%14 Jul →
dust210–13-0.0118%10 Jul →
boulder13–10-0.0312%8 Jul →
inferno13–8-0.0316%8 Jul →
cache13–5-0.006%8 Jul →
cache13–6-0.0111%8 Jul →
train12–12-0.018%8 Jul →
mirage13–50.035%4 Jul →
nuke8–13-0.028%30 Jun →
italy13–10.039%29 Jun →
mirage8–13-0.0111%25 Jun →
inferno1–9-0.0213%25 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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