tokz

tokz — CS2 Stats

76561198383764030[U:1:423498302]Steam profile ↗✓ No bans

1,410Tracked matches57%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating27,346Top 5% of 215,386 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5216 of 261519 tracked
FaceitLevel 10 · 2,490 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 27,346 -628 23 Jun – 13 Nov · 27 days played
25,61430,461peak 30,46123 Jun13 Nov
Faceit ELO: 2,490 +0 7 Sept – 27 Oct · 2 observations
2,4902,490peak 2,4907 Sept27 Oct
30,461Peak Premier in tracked matches
2,490Highest Faceit ELO seen on CSDB
34Days played since 2026-06-23

Faceit ELO

  • At peak — 2,490
  • Next: 2,500 ELO at 2,500 — 10 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-07
  • Level 9 first seen 2026-09-07

Premier CS Rating

  • 3,115 below peak (30,461)
  • -210 over 30 days · steady
  • Next: Gold band at 30,000 — 2,654 to go
  • Reached: Gold band · Red band · Pink band · Purple band
  • Red band first seen 2026-10-27
  • Pink band first seen 2026-10-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGtokzFACEITLevel 10 · 2,490 ELOSTANDINGTop 12.4% of rankedPREMIER27,346 · Red bandPEAK ELO2,490csdb.gg/stats

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Performance scores

Aim91
Positioning62
Utility44

0–100 skill scores via Leetify.

Recent form

HOT61–39Last 10061%Win rateWWLWLWWWWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −4.0pp headshot accuracy · +59ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 534ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 515ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 486ms

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 (+1.1 against its own average).

Aim9.1
Utility4.4
Positioning6.2
Opening Duels4.2
Clutch5.4

Sharp aimer

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

donk

Plays most like donk 88% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.1
Positioning6.2
Utility4.4
Mechanics6.2
Opening Duels4.1
Win Impact7.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time487ms−19ms
first ⅓ avg 506ms → last ⅓ avg 487ms
Headshot accuracy25.4%+0.4%
first ⅓ avg 25.0% → last ⅓ avg 25.4%

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

0.20Best match rating · 13–3 · dust2, 26 Oct →
67%Best headshot accuracy · 4–0 · nuke, 26 Jun →
313msFastest reaction time · 5–0 · inferno, 26 Jun →
13–0Biggest win · inferno, 12 Oct →

Across the last 100 tracked matches.

Highlights

17Longest win streak
W2Current streak
14–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 82% over 11dust2Weakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%0.02
mirageA2213–959%0.01
infernoS139–469%0.01
anubisS129–375%0.03
nukeS119–282%0.03
cacheS96–367%0.05
ancientA95–456%0.01
overpass—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

882Matches
56%Win rate
1.36Avg K/D
84.1ADR
50%Headshot %

Clutches & streaks

47%1v1 clutch win
24%1v2 clutch win
17Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient7663%1.3118.9
Inferno6466%1.2717.4
Mirage5951%1.2917.0
Anubis2528%1.0716.3
Dust21540%1.2518.4
Overpass1060%1.3120.5
Nuke10%1.0617.0

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.

25.7%Headshot accuracy
38.0%Accuracy (enemy spotted)
44.3%Spray accuracy
77.9%Counter-strafing
8.8°Preaim
489msReaction time
48.3%T opening success
44.6%CT opening success
0.44Enemies flashed / flash
5.4%Flash assists
6.80HE damage / grenade
6.91Flashes / 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 0.4413 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–110.0221%13 Nov →
dust213–80.1129%12 Nov →
dust25–13-0.0622%12 Nov →
dust213–80.0224%12 Nov →
dust23–13-0.0417%12 Nov →
cache13–40.0721%12 Nov →
anubis13–110.0527%12 Nov →
cache13–70.0720%11 Nov →
cache13–70.0011%11 Nov →
dust211–130.0118%10 Nov →
anubis13–40.1339%9 Nov →
dust213–50.0634%9 Nov →
nuke13–30.0118%9 Nov →
dust23–50.0316%9 Nov →
nuke7–130.0913%9 Nov →
ancient2–13-0.1019%9 Nov →
dust211–130.0419%9 Nov →
cache7–130.0538%9 Nov →
nuke13–8-0.0435%5 Nov →
inferno16–13-0.0120%4 Nov →
nuke13–9-0.0417%4 Nov →
mirage13–9-0.0031%4 Nov →
mirage13–7-0.0348%4 Nov →
dust28–130.0340%4 Nov →
dust20–5-0.0433%26 Oct →
inferno1–13-0.0322%26 Oct →
mirage8–130.0728%26 Oct →
dust213–30.2055%26 Oct →
ancient11–130.0626%25 Oct →
anubis13–7-0.0117%25 Oct →
cache7–130.0225%25 Oct →
mirage12–160.0719%25 Oct →
cache13–20.1120%23 Oct →
dust26–13-0.0538%22 Oct →
anubis13–20.0121%22 Oct →
dust213–10.1113%22 Oct →
ancient16–14-0.0216%22 Oct →
inferno13–11-0.0132%21 Oct →
inferno13–110.0321%21 Oct →
mirage7–2-0.0431%21 Oct →
inferno11–13-0.0322%20 Oct →
dust28–13-0.0732%20 Oct →
mirage6–130.0247%20 Oct →
anubis13–110.0319%19 Oct →
nuke9–130.0423%19 Oct →
ancient2–13-0.0811%19 Oct →
inferno13–00.0459%12 Oct →
anubis5–13-0.0429%12 Oct →
cache13–20.0523%11 Oct →
cache4–9-0.0414%11 Oct →
dust28–130.0117%11 Oct →
anubis10–130.0313%11 Oct →
inferno13–100.1137%10 Oct →
dust28–13-0.0220%10 Oct →
inferno16–120.0721%1 Oct →
mirage13–8-0.0650%29 Sept →
dust27–10.0218%29 Sept →
dust27–10.0650%29 Sept →
nuke13–10.1237%27 Sept →
ancient13–30.0030%27 Sept →
anubis1–5-0.060%27 Sept →
nuke16–140.0229%26 Sept →
inferno3–0-0.050%26 Sept →
mirage9–13-0.0020%23 Sept →
ancient13–100.0314%23 Sept →
mirage13–110.0737%21 Sept →
dust213–20.1429%21 Sept →
inferno2–8-0.0130%20 Sept →
inferno11–130.0529%18 Sept →
anubis13–100.1322%14 Sept →
mirage13–60.0824%21 Aug →
nuke13–110.0833%21 Aug →
mirage19–170.0428%15 Aug →
mirage13–10-0.0431%4 Jul →
cache13–90.1328%4 Jul →
inferno13–50.1328%27 Jun →
ancient13–20.1230%26 Jun →
nuke2–00.000%26 Jun →
mirage2–0-0.0620%26 Jun →
mirage13–10.0233%26 Jun →
inferno5–0-0.120%26 Jun →
mirage13–00.0522%26 Jun →
nuke4–00.0267%26 Jun →
anubis13–20.0421%26 Jun →
mirage13–00.0257%26 Jun →
anubis13–10.0228%26 Jun →
mirage8–130.0018%26 Jun →
dust24–13-0.0220%26 Jun →
mirage1–4-0.130%26 Jun →
mirage11–130.0725%26 Jun →
ancient12–160.0513%26 Jun →
nuke6–0-0.0025%25 Jun →
mirage3–13-0.0735%25 Jun →
dust213–70.0815%25 Jun →
mirage11–130.0418%24 Jun →
ancient13–11-0.0323%24 Jun →
dust21–13-0.0625%24 Jun →
dust210–130.0226%24 Jun →
mirage13–110.0128%24 Jun →
overpass13–50.0424%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches17-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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