tiktak

tiktak — CS2 Stats

76561198083069250[U:1:122803522]Steam profile ↗✓ No bans

832Tracked matches60%Win rate2020Tracked since
3,289Hours in CS4Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating20,690Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#74693 of 261641 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (13 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: 20,690 +2,024 19 Jul – 2 Nov · 32 days played
18,60923,026peak 23,02619 Jul2 Nov
23,026Peak Premier in tracked matches
53Days played since 2026-07-19

Premier CS Rating

  • 2,336 below peak (23,026)
  • -2,336 over 90 days
  • Next: Red band at 25,000 — 4,310 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.2%46.9%49.3%9.1% short
Shot accuracy16.3%13.0%13.4%above
Kill/death ratio0.961.081.120.16 short
Match win rate41.6%46.7%48.5%6.9% short

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

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

Share this profile

CSDB.GGtiktakPREMIER20,690 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

HOT56–38–6Last 10056%Win rateWWWLWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −0.7pp headshot accuracy · −35ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 513ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

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 (+1.4 against its own average).

Aim8.0
Utility5.7
Positioning5.0
Opening Duels3.0
Clutch3.6

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 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Aim8.0
Positioning5.0
Utility5.7
Mechanics7.7
Opening Duels2.8
Win Impact8.3

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time538ms−41ms
first ⅓ avg 578ms → last ⅓ avg 538ms
Headshot accuracy20.3%+0.5%
first ⅓ avg 19.8% → last ⅓ avg 20.3%

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

0.13Best match rating · 13–5 · dust2, 3 Sept →
48%Best headshot accuracy · 13–7 · dust2, 27 Jul →
313msFastest reaction time · 2–13 · dust2, 14 Sept →
13–1Biggest win · dust2, 18 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
7–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A5736–2163%-0.01
ancientB137–654%-0.01
cacheB115–645%-0.01
infernoD71–614%-0.02
anubisS64–267%-0.01
mirageC52–340%-0.04
nuke—11–0100%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

87,299Lifetime kills
0.96K/D
4,577Matches
41.6%Match win rate
40.2%Headshot %
16.3%Shot accuracy · Top 25% of Pink band
8,372MVPs
1,834Hours (in match)
3,518Bombs planted
718Bombs defused

Most-used weapons

AK-4718,937
AWP16,124
P2502,485
P902,439
FAMAS2,324
MP72,060

Lifetime map wins

35,285dust2
1,874inferno
449cbble
446nuke
129lake
65safehouse
49office
35ar_shoots

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

Faceit stats

Combat

5Matches
100%Win rate
1.65Avg K/D
122.4ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.2922.0
Cache1100%1.8018.0
Mirage1100%2.7825.0

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.

19.6%Headshot accuracy
35.0%Accuracy (enemy spotted)
32.3%Spray accuracy
84.5%Counter-strafing
8.2°Preaim
534msReaction time
38.4%T opening success
43.9%CT opening success
0.65Enemies flashed / flash
6.3%Flash assists
8.98HE damage / grenade
7.95Flashes / 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 38.3538% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0515%9 Nov →
dust213–11-0.0825%3 Nov →
dust213–9-0.0213%3 Nov →
ancient11–13-0.0123%2 Nov →
dust213–60.0512%2 Nov →
dust213–30.0411%1 Nov →
dust213–7-0.0323%31 Oct →
dust213–30.0216%31 Oct →
dust211–13-0.0413%30 Oct →
dust213–3-0.0322%30 Oct →
dust24–13-0.0118%29 Oct →
dust29–130.0024%29 Oct →
dust213–6-0.0619%27 Oct →
dust25–13-0.0911%25 Oct →
dust213–6-0.0111%25 Oct →
dust213–10.0221%18 Oct →
anubis13–10-0.0017%18 Oct →
dust213–10.0721%16 Oct →
dust213–20.0518%16 Oct →
inferno8–13-0.0520%14 Oct →
cache5–13-0.0516%14 Oct →
mirage13–110.0220%13 Oct →
dust213–40.0319%13 Oct →
dust29–13-0.0520%11 Oct →
cache1–13-0.0326%11 Oct →
dust213–4-0.0128%26 Sept →
dust25–13-0.0643%26 Sept →
ancient12–16-0.0122%25 Sept →
dust23–13-0.0826%24 Sept →
nuke13–5-0.0117%24 Sept →
dust213–6-0.0735%22 Sept →
dust212–12-0.0314%16 Sept →
inferno11–130.0232%15 Sept →
dust22–13-0.0817%14 Sept →
dust22–60.1240%14 Sept →
dust213–9-0.0614%13 Sept →
dust213–10-0.0218%13 Sept →
dust26–13-0.0624%8 Sept →
dust213–8-0.0117%8 Sept →
dust29–13-0.0728%7 Sept →
dust213–80.0422%7 Sept →
cache8–13-0.0118%6 Sept →
dust213–10-0.0618%6 Sept →
dust26–00.0111%6 Sept →
dust213–30.0926%4 Sept →
dust24–13-0.0521%4 Sept →
dust213–50.1320%3 Sept →
dust213–11-0.1021%3 Sept →
dust212–120.0725%2 Sept →
dust213–7-0.0223%2 Sept →
dust210–130.0325%2 Sept →
cache1–13-0.0840%1 Sept →
dust213–50.0513%28 Aug →
mirage4–13-0.0613%24 Aug →
cache13–10-0.0416%23 Aug →
ancient13–10-0.0814%19 Aug →
dust213–7-0.0418%19 Aug →
dust29–13-0.0219%18 Aug →
dust213–16-0.0227%17 Aug →
mirage13–7-0.0529%16 Aug →
ancient13–5-0.0430%16 Aug →
inferno1–13-0.030%15 Aug →
mirage5–13-0.0310%15 Aug →
ancient13–8-0.0021%15 Aug →
dust214–16-0.0418%14 Aug →
ancient13–110.0133%14 Aug →
inferno8–13-0.0125%14 Aug →
dust29–130.0027%13 Aug →
cache11–13-0.0425%12 Aug →
dust213–9-0.0515%11 Aug →
ancient11–130.0219%8 Aug →
dust214–16-0.0317%8 Aug →
ancient16–140.0523%2 Aug →
anubis15–150.0115%31 Jul →
dust213–8-0.0321%31 Jul →
cache13–6-0.0028%31 Jul →
dust213–70.0227%31 Jul →
ancient9–130.0116%30 Jul →
dust213–100.0129%30 Jul →
dust213–11-0.0112%28 Jul →
cache13–100.0524%28 Jul →
cache15–150.0419%27 Jul →
dust213–70.0548%27 Jul →
ancient13–8-0.0320%27 Jul →
cache13–60.0217%26 Jul →
anubis13–100.0018%26 Jul →
inferno16–12-0.0020%26 Jul →
inferno10–13-0.0514%25 Jul →
ancient15–150.0120%25 Jul →
anubis13–11-0.0713%25 Jul →
dust213–70.0117%25 Jul →
mirage11–13-0.0612%24 Jul →
ancient13–100.026%22 Jul →
dust213–16-0.0621%22 Jul →
cache13–80.0525%22 Jul →
anubis15–15-0.0118%20 Jul →
anubis13–50.0017%19 Jul →
ancient4–13-0.044%19 Jul →
dust213–40.0527%19 Jul →
inferno8–13-0.0421%19 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.