T4n0K

T4n0K — CS2 Stats

CH76561197979355650[U:1:19089922]Steam profile ↗✓ No bans

2,229Tracked matches48%Win rate2023Tracked since
2,411Hours in CS35Hrs last 2 wks
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating8,008Light Blue band · top ~64.4% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 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: 8,008 +1,930 28 Aug – 1 Oct · 23 days played
6,07810,484peak 10,48428 Aug1 Oct
10,861Peak Premier in tracked matches
26Days played since 2026-08-28

Premier CS Rating

  • 2,476 below peak (10,484)
  • +145 over 30 days · steady
  • Next: Blue band at 10,000 — 1,992 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=8,820), 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 rate37.0%39.9%42.0%5.0% short
Shot accuracy2.8%7.0%9.6%6.9% short
Kill/death ratio0.720.920.980.26 short
Match win rate45.1%42.3%43.8%above

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

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.GGT4n0KPREMIER8,008 · Light 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

Aim52
Positioning53
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateLLWWLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −3ms reaction

Win rate −10pp 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 14%
  • Avg reaction 631ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 622ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility5.0
Positioning5.3
Opening Duels3.1
Clutch4.8

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 82% 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. 616ms 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
Positioning5.3
Utility5.0
Mechanics6.6
Opening Duels4.4
Win Impact4.4

Composite 4.7/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time615ms+11ms
first ⅓ avg 604ms → last ⅓ avg 615ms
Headshot accuracy13.0%+1.4%
first ⅓ avg 11.6% → 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

0.11Best match rating · 2–13 · dust2, 21 Sept →
40%Best headshot accuracy · 1–11 · ancient, 20 Sept →
430msFastest reaction time · 13–10 · inferno, 6 Sept →
13–2Biggest win · cache, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 86% over 7ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2715–1256%-0.01
ancientC166–1038%-0.01
anubisA159–660%-0.03
nukeA148–657%-0.02
infernoB115–645%-0.01
cacheS76–186%0.00
mirageA74–357%-0.00
train—22–0100%0.03
vertigo—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,388Lifetime kills
0.72K/D
3,893Matches
45.1%Match win rate · Top 50% of Light Blue band
37.0%Headshot %
2.8%Shot accuracy
4,993MVPs
1,434Hours (in match)
3,027Bombs planted
834Bombs defused

Most-used weapons

Lifetime map wins

8,608dust2
4,603nuke
4,592inferno
1,436train
1,366vertigo
236italy
184office
2cbble

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

Faceit stats

Combat

21Matches
57%Win rate
0.95Avg K/D
72.3ADR
50%Headshot %

Clutches & streaks

44%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient771%0.9512.7
Anubis540%0.7911.2
Dust2425%1.2413.8
Train2100%1.2410.5
Nuke250%0.5910.0
Mirage1100%0.8511.0

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.

12.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
28.0%Spray accuracy
79.5%Counter-strafing
9.2°Preaim
616msReaction time
52.0%T opening success
43.4%CT opening success
0.69Enemies flashed / flash
0.4%Flash assists
10.77HE damage / grenade
5.17Flashes / 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 12.9452% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0119%1 Oct →
dust27–130.0113%1 Oct →
cache13–6-0.0214%1 Oct →
anubis13–9-0.0610%1 Oct →
ancient6–13-0.0112%29 Sept →
dust29–13-0.077%29 Sept →
cache13–5-0.074%29 Sept →
nuke7–13-0.039%29 Sept →
inferno13–80.0118%28 Sept →
dust213–60.0012%28 Sept →
mirage7–130.008%28 Sept →
mirage13–8-0.0018%28 Sept →
dust213–7-0.0314%27 Sept →
inferno7–13-0.047%27 Sept →
cache13–90.0311%26 Sept →
ancient13–70.1014%26 Sept →
dust29–13-0.1011%25 Sept →
inferno11–13-0.0413%25 Sept →
ancient13–50.0115%25 Sept →
dust213–60.0315%25 Sept →
dust213–8-0.0416%25 Sept →
nuke5–13-0.0414%25 Sept →
ancient11–130.0411%24 Sept →
anubis7–13-0.0812%24 Sept →
nuke13–50.0224%24 Sept →
dust26–13-0.0210%24 Sept →
ancient11–13-0.0413%22 Sept →
ancient16–120.0118%22 Sept →
inferno10–13-0.0110%22 Sept →
ancient15–15-0.0116%21 Sept →
nuke15–15-0.0117%21 Sept →
anubis16–14-0.057%21 Sept →
dust22–130.1120%21 Sept →
mirage5–13-0.057%21 Sept →
anubis13–110.0410%20 Sept →
inferno13–110.0125%20 Sept →
dust29–13-0.0313%20 Sept →
vertigo8–130.0011%20 Sept →
ancient1–11-0.0840%20 Sept →
anubis6–13-0.0314%20 Sept →
inferno13–100.0215%20 Sept →
dust27–2-0.0417%20 Sept →
anubis13–3-0.0211%19 Sept →
ancient10–130.0518%19 Sept →
inferno5–13-0.019%19 Sept →
dust24–130.0319%19 Sept →
cache12–12-0.0412%19 Sept →
mirage13–10-0.0117%18 Sept →
dust213–90.0214%18 Sept →
ancient15–15-0.076%18 Sept →
dust211–13-0.058%18 Sept →
ancient8–13-0.076%17 Sept →
dust213–60.0318%17 Sept →
train13–100.088%17 Sept →
mirage15–150.0211%17 Sept →
dust210–13-0.0415%17 Sept →
nuke3–13-0.035%15 Sept →
anubis7–130.0115%15 Sept →
ancient9–130.0015%15 Sept →
nuke13–10-0.0314%15 Sept →
anubis13–4-0.0413%14 Sept →
ancient13–11-0.017%14 Sept →
dust213–8-0.0015%14 Sept →
dust213–30.0631%13 Sept →
dust213–70.0111%13 Sept →
nuke13–9-0.0316%13 Sept →
nuke15–150.0111%13 Sept →
ancient13–40.0119%13 Sept →
dust25–13-0.0910%13 Sept →
cache13–20.0316%13 Sept →
mirage13–30.0511%12 Sept →
nuke13–7-0.0312%12 Sept →
anubis7–13-0.0615%10 Sept →
nuke11–130.0016%10 Sept →
inferno15–15-0.0113%10 Sept →
inferno5–13-0.039%8 Sept →
dust216–13-0.0613%8 Sept →
anubis16–14-0.026%8 Sept →
nuke13–6-0.047%8 Sept →
mirage13–5-0.038%7 Sept →
dust213–30.039%7 Sept →
nuke13–6-0.0112%7 Sept →
ancient13–11-0.049%7 Sept →
anubis7–13-0.128%7 Sept →
anubis11–13-0.0312%6 Sept →
inferno13–10-0.0210%6 Sept →
cache13–90.009%6 Sept →
dust213–8-0.0321%6 Sept →
ancient11–13-0.038%3 Sept →
train13–4-0.029%1 Sept →
anubis13–80.0313%1 Sept →
inferno13–90.0317%1 Sept →
cache13–30.0811%1 Sept →
dust28–13-0.0410%1 Sept →
nuke16–140.048%1 Sept →
nuke13–10-0.0312%31 Aug →
anubis13–10-0.0411%31 Aug →
anubis13–6-0.017%30 Aug →
dust213–10-0.0412%30 Aug →
dust213–30.0019%28 Aug →

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 →

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