Taun We

Taun We — CS2 Stats

76561198292957766[U:1:332692038]Steam profile ↗✓ No bans

850Tracked matches47%Win rate2020Tracked since
CSDB Rating4.0 DevelopingClutch Specialist
Premier CS Rating10,981Blue band · top ~49.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 850 tracked matches. 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. 53 days played since 10 Mar 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: 10,981 +982 14 Mar21 Sept · 32 days played
7,42112,466peak 12,46614 Mar21 Sept
12,466Peak Premier in tracked matches
53Days played since 2026-03-10

Premier CS Rating

  • 1,485 below peak (12,466)
  • -1,172 over 90 days
  • Next: Purple band at 15,000 4,019 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGTaun WeFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,981 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning45
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLLLWLWWLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −7.5pp headshot accuracy · +37ms 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

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 591ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

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 SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim5.2
Utility3.3
Positioning4.5
Opening Duels1.5
Clutch6.0

Limited 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

NiKo

Plays most like NiKo 88% 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. 604ms 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

Aim5.2
Positioning4.5
Utility3.3
Mechanics5.6
Opening Duels0.6
Win Impact3.9

Composite 4.0/10 (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 time610ms−31ms
first ⅓ avg 641ms → last ⅓ avg 610ms
Headshot accuracy17.9%−1.2%
first ⅓ avg 19.1% → last ⅓ avg 17.9%

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

0.16Best match rating · 7–13 · mirage, 27 Mar
46%Best headshot accuracy · 5–0 · overpass, 7 Jun
438msFastest reaction time · 8–13 · inferno, 3 Jun
13–2Biggest win · inferno, 13 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
99In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 61% over 23anubisWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%-0.01
mirageA2314961%-0.00
infernoC1661038%-0.01
ancientB126650%-0.01
nukeD93633%-0.04
anubisD8080%-0.06
overpass330100%-0.01
cache2020%-0.05
train21150%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches
43%Win rate
0.79Avg K/D
81.0ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
8%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2850%0.9615.4
Inferno425%0.7014.0
Mirage450%1.1115.0
Ancient3100%1.2018.0
Nuke10%1.2515.0
Cache1100%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.

17.9%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.7%Spray accuracy
75.2%Counter-strafing
10.6°Preaim
604msReaction time
34.0%T opening success
30.5%CT opening success
0.58Enemies flashed / flash
8.1%Flash assists
9.13HE damage / grenade
2.65Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6497 — below the 4 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 34.0395% — 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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0218%21 Sept
dust211–13-0.0316%21 Sept
inferno8–13-0.0211%17 Sept
mirage13–60.0813%17 Sept
mirage10–13-0.046%10 Sept
ancient13–40.0222%10 Sept
mirage13–30.1219%10 Sept
mirage13–16-0.068%9 Sept
dust211–13-0.0516%8 Sept
dust213–100.0220%8 Sept
cache8–13-0.0726%7 Sept
anubis4–13-0.0818%7 Sept
mirage5–130.0431%7 Sept
mirage16–140.0121%3 Sept
inferno13–10-0.0114%3 Sept
mirage9–13-0.0019%3 Sept
ancient3–13-0.0010%2 Sept
mirage13–9-0.0627%1 Sept
dust216–13-0.0023%27 Aug
dust27–130.0333%19 Aug
nuke7–13-0.109%18 Aug
inferno13–110.0520%15 Aug
mirage13–11-0.0115%29 Jul
inferno10–13-0.0416%29 Jul
dust213–16-0.0023%28 Jul
dust213–80.0122%27 Jul
ancient16–130.0418%27 Jul
dust211–130.0217%27 Jul
dust213–8-0.0610%25 Jul
dust213–7-0.0621%25 Jul
ancient13–6-0.0126%23 Jul
dust213–3-0.0116%23 Jul
dust214–16-0.029%22 Jul
anubis8–13-0.0915%19 Jul
mirage13–70.0025%19 Jul
dust27–13-0.0534%19 Jul
anubis9–13-0.0923%18 Jul
dust210–13-0.0220%13 Jul
mirage16–130.0025%13 Jul
dust28–13-0.0720%10 Jul
anubis1–13-0.0714%9 Jul
mirage16–14-0.0122%9 Jul
inferno10–13-0.0324%6 Jul
anubis10–13-0.0232%28 Jun
nuke15–15-0.0722%28 Jun
anubis10–13-0.0415%26 Jun
mirage9–13-0.0716%26 Jun
mirage13–6-0.0218%26 Jun
mirage13–8-0.0913%25 Jun
dust211–13-0.1110%19 Jun
mirage8–13-0.0713%19 Jun
mirage13–11-0.0329%18 Jun
dust213–6-0.0022%18 Jun
nuke13–7-0.0120%18 Jun
mirage11–13-0.0421%15 Jun
dust213–11-0.0522%10 Jun
dust213–110.0828%10 Jun
inferno2–13-0.0514%8 Jun
dust213–110.0122%7 Jun
overpass5–00.0446%7 Jun
anubis3–13-0.0919%6 Jun
overpass13–9-0.0320%6 Jun
inferno8–130.0014%3 Jun
dust216–140.028%3 Jun
nuke13–7-0.0419%2 Jun
dust213–6-0.0122%2 Jun
ancient13–7-0.0212%31 May
ancient13–7-0.0021%31 May
cache7–13-0.0342%28 Apr
dust213–100.0428%23 Apr
mirage13–80.0218%23 Apr
ancient4–13-0.0515%16 Apr
nuke8–130.0125%16 Apr
nuke13–4-0.0423%14 Apr
anubis14–16-0.0116%14 Apr
nuke6–13-0.080%13 Apr
nuke11–130.0319%6 Apr
inferno11–13-0.0127%6 Apr
mirage13–60.0222%5 Apr
inferno13–8-0.0214%3 Apr
train12–12-0.0122%3 Apr
mirage7–130.1617%27 Mar
dust25–13-0.0221%27 Mar
ancient15–15-0.0315%19 Mar
ancient3–13-0.0327%19 Mar
mirage2–13-0.0514%17 Mar
inferno10–13-0.0715%17 Mar
inferno7–13-0.0616%14 Mar
train13–100.0616%14 Mar
inferno13–70.0517%14 Mar
ancient13–50.0420%14 Mar
inferno13–6-0.0126%14 Mar
mirage13–80.0217%14 Mar
inferno8–13-0.0424%13 Mar
inferno13–20.0411%13 Mar
overpass13–9-0.0312%11 Mar
nuke4–13-0.0523%10 Mar
inferno9–130.0417%10 Mar
ancient12–120.0018%10 Mar
ancient5–13-0.0213%10 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →