「Tix」

「Tix」 — CS2 Stats

DK76561197993333535[U:1:33067807]Steam profile ↗✓ No bans

307Tracked matches52%Win rate2020Tracked since
861Hours in CS
CSDB Rating5.0 DevelopingSupport
Premier CS Rating9,105Light Blue band · top ~59.2% 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 26 Sep 2026 (30 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: 9,105 -4,480 9 Apr – 26 Sept · 23 days played
8,82514,999peak 14,9999 Apr26 Sept
14,999Peak Premier in tracked matches
49Days played since 2023-12-13

Premier CS Rating

  • 5,894 below peak (14,999)
  • -3,420 over 30 days · declining
  • Next: Blue band at 10,000 — 895 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-15

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=14,630), 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 rate35.8%42.7%43.8%7.9% short
Shot accuracy17.4%11.2%12.0%above
Kill/death ratio1.050.991.02above
Match win rate45.8%43.9%44.7%above

This profile matches the typical Level 5 player on 3 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.GG「Tix」FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,105 · 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

Aim63
Positioning49
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLWWWLLWLWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +4.8pp headshot accuracy · +73ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 702ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 654ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim6.3
Utility6.6
Positioning4.9
Opening Duels0.5
Clutch3.8

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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 613ms 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

Aim6.3
Positioning4.9
Utility6.6
Mechanics7.1
Opening Duels0.7
Win Impact5.6

Composite 5.0/10 (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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time607ms−39ms
first ⅓ avg 646ms → last ⅓ avg 607ms
Headshot accuracy15.8%+0.8%
first ⅓ avg 14.9% → 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

0.12Best match rating · 13–3 · ancient, 22 Aug →
39%Best headshot accuracy · 13–8 · inferno, 10 Aug →
406msFastest reaction time · 7–13 · anubis, 16 Aug →
13–1Biggest win · anubis, 2 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 20ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeC2310–1343%-0.02
infernoB2010–1050%-0.01
ancientC135–838%0.01
dust2B126–650%-0.02
anubisB105–550%-0.00
cache—31–233%-0.03
mirage—32–167%-0.03
basalt—32–167%-0.01
edin—31–233%-0.07
vertigo—31–233%-0.03
overpass—20–20%-0.02
train—20–20%-0.02
mills—22–0100%-0.01
thera—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,010Lifetime kills
1.05K/D · Top 50% of Level 4 players
1,962Matches
45.8%Match win rate · Top 50% of Level 4 players
35.8%Headshot %
17.4%Shot accuracy · Top 25% of Level 4 players
4,790MVPs
861Hours (in match)
2,907Bombs planted
425Bombs defused

Most-used weapons

AK-4711,246
AWP3,859
P901,793
FAMAS1,153
MP7918
MP9773

Lifetime map wins

3,156nuke
2,731inferno
2,220dust2
1,656cbble
1,314train
1,197vertigo
97lake
94bank

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

Faceit stats

Combat

74Matches
51%Win rate
0.95Avg K/D
80.4ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
10%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1354%1.0013.8
Ancient1070%1.2718.2
Nuke956%1.2316.6
Inferno743%0.9514.0
Mirage520%0.6911.8
Cache333%0.6211.0
Vertigo20%0.7312.0
Dust22100%0.9612.5

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.

15.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
40.2%Spray accuracy
81.9%Counter-strafing
11.0°Preaim
613msReaction time
22.5%T opening success
35.7%CT opening success
0.64Enemies flashed / flash
2.7%Flash assists
11.37HE damage / grenade
9.25Flashes / 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. 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 22.497% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0816%26 Sept →
inferno13–30.0623%26 Sept →
ancient13–30.0913%26 Sept →
nuke13–9-0.0215%15 Sept →
inferno5–90.0317%14 Sept →
dust29–130.0022%12 Sept →
dust213–70.0423%12 Sept →
cache1–13-0.0323%4 Sept →
nuke13–40.0118%4 Sept →
nuke11–13-0.0111%4 Sept →
inferno13–10-0.0214%4 Sept →
anubis13–9-0.0025%2 Sept →
ancient8–13-0.0414%30 Aug →
inferno13–6-0.0216%30 Aug →
dust25–13-0.028%30 Aug →
nuke13–40.0112%30 Aug →
nuke9–13-0.0313%29 Aug →
cache8–13-0.049%29 Aug →
inferno7–13-0.049%28 Aug →
dust24–13-0.0813%28 Aug →
cache13–10-0.0313%28 Aug →
nuke15–150.0316%28 Aug →
dust27–13-0.0810%27 Aug →
inferno9–130.0119%27 Aug →
inferno13–4-0.0118%26 Aug →
inferno13–20.1026%24 Aug →
ancient7–00.045%22 Aug →
nuke13–30.0121%22 Aug →
ancient13–30.1214%22 Aug →
nuke10–130.038%20 Aug →
nuke6–130.0418%19 Aug →
dust213–110.0528%17 Aug →
inferno3–130.0111%16 Aug →
nuke13–7-0.0117%16 Aug →
nuke9–13-0.0417%16 Aug →
anubis7–13-0.0313%16 Aug →
inferno13–80.0139%10 Aug →
inferno13–50.0213%10 Aug →
mirage10–130.020%10 Aug →
overpass10–13-0.0711%22 Jun →
nuke12–16-0.0312%29 Sept →
nuke13–50.0015%29 Sept →
ancient4–13-0.007%29 Sept →
basalt13–60.0531%2 May →
anubis13–10.1016%2 May →
anubis2–0-0.030%2 May →
nuke2–13-0.0518%2 May →
ancient13–100.0126%2 May →
dust212–120.0227%2 May →
dust213–3-0.0116%2 May →
edin3–8-0.0615%2 May →
edin13–4-0.0715%2 May →
nuke13–9-0.0622%2 May →
ancient10–13-0.0613%21 Apr →
nuke12–12-0.0518%20 Apr →
basalt13–6-0.0317%31 Mar →
nuke13–5-0.0224%31 Mar →
vertigo13–6-0.0117%31 Mar →
ancient12–12-0.0126%31 Mar →
basalt11–13-0.0721%24 Mar →
anubis10–13-0.0413%24 Mar →
train6–13-0.0426%3 Dec →
vertigo6–13-0.0319%28 Nov →
edin7–13-0.0725%28 Nov →
ancient13–16-0.0116%22 Nov →
train12–120.0013%20 Nov →
dust213–10-0.0516%20 Nov →
inferno6–13-0.0522%16 Nov →
dust25–13-0.0415%16 Nov →
nuke13–60.018%9 Nov →
dust213–10-0.0913%9 Nov →
nuke12–12-0.0811%26 Oct →
mirage13–11-0.0712%8 Oct →
mills13–10.0114%6 Sept →
anubis9–13-0.0414%13 Aug →
inferno13–16-0.0514%12 Aug →
nuke5–13-0.067%12 Aug →
inferno13–11-0.0813%8 Aug →
nuke7–13-0.0315%3 Aug →
mills13–9-0.0218%29 Jul →
thera7–13-0.0917%29 Jul →
anubis13–100.0317%4 Jul →
nuke7–13-0.0615%4 Jul →
mirage13–10-0.0419%15 Jun →
inferno16–14-0.0815%15 Jun →
inferno15–15-0.0614%15 Jun →
inferno13–110.0522%11 Jun →
ancient9–13-0.0222%22 Apr →
anubis11–13-0.0512%22 Apr →
overpass5–130.0313%14 Apr →
vertigo15–15-0.0417%11 Apr →
ancient13–11-0.0117%9 Apr →
ancient4–7-0.0315%9 Apr →
anubis12–120.0110%6 Jan →
dust213–70.0427%6 Jan →
inferno3–13-0.048%6 Jan →
inferno13–16-0.0214%5 Jan →
nuke16–12-0.0118%5 Jan →
ancient10–130.014%13 Dec →
anubis13–20.0323%13 Dec →

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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