T3RLE

T3RLE — CS2 Stats

DK76561197986671561[U:1:26405833]Steam profile ↗✓ No bans

1,457Tracked matches33%Win rate2023Tracked since
1,380Hours in CS4Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Premier CS Rating8,189Light Blue band · top ~63.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (11 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 28 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,189 -1,849 29 May9 Sept · 23 days played
7,98810,038peak 10,03829 May9 Sept
10,244Peak Premier in tracked matches
39Days played since 2026-05-28

Premier CS Rating

  • 1,849 below peak (10,038)
  • -60 over 30 days · steady
  • -1,811 over 90 days
  • Next: Blue band at 10,000 1,811 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,337), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate36.1%39.9%41.9%5.8% short
Shot accuracy0.1%6.9%9.6%9.5% short
Kill/death ratio0.730.920.980.25 short
Match win rate41.9%42.3%43.8%1.9% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGT3RLEPREMIER8,189 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning36
Utility62

0–100 skill scores via Leetify.

Recent form

COLD38566Last 10038%Win rateLLWLLLLLTW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · −48ms reaction

Win rate down 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 597ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 621ms

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: SupportUtility contribution stands above the rest of this profile (+3.1 against its own average).

Aim4.7
Utility6.2
Positioning3.6
Opening Duels0.0
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

Twistzz

Plays most like Twistzz 73% 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

T-side openings. Opening success drops from 41% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim4.7
Positioning3.6
Utility6.2
Mechanics5.9
Opening Duels1.3
Win Impact0.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time638ms−40ms
first ⅓ avg 678ms → last ⅓ avg 638ms
Headshot accuracy13.0%−0.7%
first ⅓ avg 13.7% → last ⅓ avg 13.0%

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 · 13–3 · ancient, 9 Jul
29%Best headshot accuracy · 13–9 · nuke, 20 Aug
422msFastest reaction time · 3–13 · anubis, 25 Jul
13–1Biggest win · train, 16 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
43In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 55% over 20ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoD2872125%-0.04
nukeA2011955%-0.04
anubisB189950%-0.05
cacheA116555%-0.03
ancientD71614%0.00
dust241325%-0.08
overpass31233%-0.08
office3030%0.01
vertigo2020%-0.03
boulder1010%-0.03
train110100%0.01
shelter1010%-0.02
mirage110100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,933Lifetime kills
0.73K/D
1,733Matches
41.9%Match win rate
36.1%Headshot %
0.1%Shot accuracy
2,287MVPs
669Hours (in match)
2,707Bombs planted
281Bombs defused

Most-used weapons

Lifetime map wins

3,340inferno
3,234nuke
1,401dust2
1,007vertigo
670train
287office
27italy
3ar_shoots

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

Faceit stats

Combat

6Matches
33%Win rate
0.66Avg K/D
63.5ADR
46%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.7210.0
Dust220%0.448.0
Mirage10%1.0522.0
Nuke1100%0.649.0

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.

13.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.4%Spray accuracy
76.5%Counter-strafing
10.9°Preaim
635msReaction time
7.9%T opening success
40.6%CT opening success
0.62Enemies flashed / flash
1.5%Flash assists
9.57HE damage / grenade
7.51Flashes / 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 13.494% — below the 15% mark we flag

    Aim Training
  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 7.8751% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.036%9 Sept
inferno8–13-0.0017%8 Sept
anubis13–8-0.019%8 Sept
inferno10–130.0017%8 Sept
inferno8–13-0.0818%3 Sept
anubis8–13-0.085%3 Sept
anubis5–13-0.0918%26 Aug
inferno11–13-0.097%22 Aug
anubis15–15-0.0617%20 Aug
nuke13–8-0.0121%20 Aug
nuke13–9-0.0229%20 Aug
inferno3–13-0.0717%19 Aug
anubis13–60.0118%18 Aug
boulder6–13-0.0313%18 Aug
anubis3–13-0.0517%18 Aug
nuke13–10-0.0518%18 Aug
nuke2–11-0.0318%18 Aug
anubis3–13-0.1212%16 Aug
cache13–11-0.079%16 Aug
overpass6–13-0.116%16 Aug
train13–10.0118%16 Aug
dust20–13-0.110%15 Aug
inferno13–8-0.0715%11 Aug
cache9–13-0.0511%11 Aug
nuke2–6-0.070%11 Aug
office12–12-0.0213%1 Aug
overpass12–12-0.0713%1 Aug
nuke11–13-0.0022%30 Jul
inferno9–13-0.005%30 Jul
nuke13–3-0.0811%29 Jul
inferno4–13-0.088%28 Jul
inferno13–4-0.0318%28 Jul
anubis3–13-0.097%28 Jul
overpass13–10-0.056%27 Jul
nuke13–11-0.089%26 Jul
anubis13–8-0.0716%26 Jul
cache13–60.0117%26 Jul
anubis3–13-0.100%25 Jul
nuke8–13-0.0211%24 Jul
dust22–13-0.0710%24 Jul
ancient11–130.0217%24 Jul
inferno13–4-0.0315%24 Jul
nuke13–10-0.0310%24 Jul
inferno13–6-0.0211%24 Jul
nuke13–6-0.0315%22 Jul
nuke8–13-0.099%21 Jul
nuke6–13-0.0914%21 Jul
nuke3–13-0.106%19 Jul
inferno13–7-0.036%19 Jul
inferno13–50.0613%19 Jul
cache4–13-0.038%18 Jul
anubis16–120.019%18 Jul
inferno8–13-0.0810%18 Jul
nuke13–7-0.028%18 Jul
inferno9–13-0.0222%17 Jul
cache13–8-0.0118%17 Jul
anubis13–8-0.0418%17 Jul
dust29–13-0.087%17 Jul
ancient5–13-0.088%17 Jul
ancient12–16-0.0515%17 Jul
anubis6–13-0.077%16 Jul
inferno10–13-0.066%16 Jul
nuke10–13-0.0316%16 Jul
inferno15–15-0.007%16 Jul
inferno10–13-0.0111%15 Jul
inferno4–13-0.073%15 Jul
anubis13–3-0.0014%15 Jul
anubis13–5-0.0626%14 Jul
cache10–130.0022%13 Jul
anubis13–6-0.0111%13 Jul
inferno9–13-0.0416%13 Jul
cache13–9-0.0314%12 Jul
anubis4–13-0.0710%12 Jul
nuke13–10-0.0717%12 Jul
inferno15–15-0.0515%12 Jul
nuke13–11-0.028%11 Jul
inferno7–13-0.014%11 Jul
nuke13–70.0310%11 Jul
inferno5–13-0.0712%11 Jul
cache13–4-0.0211%11 Jul
shelter3–13-0.0214%10 Jul
office9–130.0123%10 Jul
office12–120.0228%10 Jul
ancient13–30.1212%9 Jul
inferno6–13-0.0117%9 Jul
vertigo7–13-0.0420%8 Jul
cache7–13-0.0614%8 Jul
cache13–3-0.044%7 Jul
inferno6–13-0.0711%29 Jun
anubis13–110.0123%29 Jun
ancient9–130.1018%29 Jun
ancient5–13-0.0212%23 Jun
dust213–4-0.0412%23 Jun
mirage13–9-0.019%23 Jun
ancient5–13-0.0612%2 Jun
nuke6–13-0.037%29 May
cache5–13-0.0813%29 May
inferno13–7-0.0512%29 May
inferno8–13-0.0211%28 May
vertigo3–13-0.015%28 May

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 →