♛ taïk^

♛ taïk^ — CS2 Stats

76561197960909121[U:1:643393]Steam profile ↗✓ No bans

1,103Tracked matches40%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 9 · 1,501 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,501 → 1,501
+14Tracked matches · now 1,103
−13.3ppWin rate · 53.3% → 40.0%

Rating over time

Premier CS Rating: 20,366 +20 21 Jun – 3 Jul · 4 days played
20,31520,668peak 20,66821 Jun3 Jul
20,668Peak Premier in tracked matches
1,501Highest Faceit ELO seen on CSDB
26Days played since 2026-06-17

Faceit ELO

  • At peak — 1,501
  • Next: Level 8 at 1,531 — 30 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

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.GG♛ taïk^FACEITLevel 9 · 1,501 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,501csdb.gg/stats

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Performance scores

Aim75
Positioning61
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWLWLWWWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · −10ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

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 (+1.8 against its own average).

Aim7.5
Utility3.8
Positioning6.1
Opening Duels3.2
Clutch4.2

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

Aim7.5
Positioning6.1
Utility3.8
Mechanics5.7
Opening Duels3.3
Win Impact1.7

Composite 5.1/10 (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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time552ms−89ms
first ⅓ avg 641ms → last ⅓ avg 552ms
Headshot accuracy23.7%+4.0%
first ⅓ avg 19.7% → last ⅓ avg 23.7%

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

0.10Best match rating · 13–8 · dust2, 23 Aug →
45%Best headshot accuracy · 13–3 · dust2, 23 Aug →
422msFastest reaction time · 13–11 · mirage, 16 Aug →
13–2Biggest win · mirage, 2 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
11–7In matches decided by ≤2 rounds
21Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.01
mirageB2513–1252%-0.01
ancientS139–469%-0.02
anubisB126–650%-0.01
infernoC114–736%0.00
cacheC52–340%-0.01
nukeA53–260%-0.01
overpass—32–167%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,175Matches
52%Win rate
1.05Avg K/D
75.3ADR
46%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7352%1.0215.5
Dust25443%0.9015.2
Anubis4349%1.0315.7
Ancient3165%0.9714.7
Inferno2365%1.0616.3
Overpass1450%0.9915.4
Cache1145%0.9415.6
Nuke250%0.7010.5

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.

23.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
32.5%Spray accuracy
75.4%Counter-strafing
9.8°Preaim
539msReaction time
39.9%T opening success
46.3%CT opening success
0.48Enemies flashed / flash
4.5%Flash assists
6.41HE damage / grenade
5.04Flashes / 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 0.479 — below the 0.5 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 39.9159% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0618%13 Sept →
dust213–60.0331%13 Sept →
inferno3–13-0.0220%13 Sept →
inferno13–100.0217%13 Sept →
dust27–13-0.0713%13 Sept →
anubis16–130.0527%13 Sept →
dust213–50.0112%13 Sept →
inferno13–110.0622%12 Sept →
dust26–13-0.0717%12 Sept →
dust27–130.0025%12 Sept →
dust210–13-0.098%31 Aug →
anubis10–13-0.0418%31 Aug →
dust28–13-0.0314%26 Aug →
dust216–130.0227%23 Aug →
dust28–130.0038%23 Aug →
inferno13–70.0718%23 Aug →
mirage7–130.0524%23 Aug →
ancient2–13-0.0915%23 Aug →
inferno11–130.0331%23 Aug →
mirage7–13-0.0240%23 Aug →
dust213–80.1039%23 Aug →
dust213–30.0645%23 Aug →
anubis11–130.0431%23 Aug →
mirage13–160.0219%23 Aug →
cache13–7-0.0221%22 Aug →
mirage13–110.0318%16 Aug →
ancient6–130.0128%16 Aug →
nuke13–9-0.0131%15 Aug →
mirage9–13-0.0415%15 Aug →
inferno1–12-0.0522%15 Aug →
anubis13–10-0.0224%15 Aug →
anubis13–110.0525%9 Aug →
mirage13–90.0431%9 Aug →
mirage13–11-0.0430%8 Aug →
ancient16–14-0.0219%8 Aug →
mirage13–6-0.0426%8 Aug →
mirage16–13-0.0229%8 Aug →
inferno16–14-0.0330%5 Aug →
mirage16–130.0217%5 Aug →
anubis9–13-0.0326%5 Aug →
mirage12–160.0117%5 Aug →
nuke11–130.0022%5 Aug →
mirage13–20.0328%2 Aug →
mirage13–90.0316%2 Aug →
anubis13–16-0.0323%2 Aug →
anubis13–100.004%2 Aug →
ancient13–80.0219%2 Aug →
dust216–14-0.0213%29 Jul →
inferno8–130.0030%29 Jul →
nuke13–110.0115%29 Jul →
dust219–17-0.0219%28 Jul →
dust28–13-0.0121%28 Jul →
nuke13–9-0.0121%28 Jul →
cache5–130.0532%28 Jul →
ancient13–90.0132%28 Jul →
dust29–13-0.0119%28 Jul →
ancient13–7-0.0122%28 Jul →
dust212–160.0122%26 Jul →
anubis13–80.0120%26 Jul →
mirage11–13-0.0220%26 Jul →
dust214–16-0.0024%22 Jul →
mirage13–2-0.0128%22 Jul →
mirage3–13-0.0715%22 Jul →
mirage8–13-0.0616%10 Jul →
nuke4–13-0.0636%10 Jul →
dust24–13-0.0619%10 Jul →
dust213–40.0226%10 Jul →
ancient13–70.0213%5 Jul →
overpass8–130.0118%5 Jul →
mirage16–14-0.0319%5 Jul →
dust217–19-0.0421%4 Jul →
dust29–13-0.0424%4 Jul →
inferno4–13-0.0613%3 Jul →
mirage13–110.0121%3 Jul →
mirage13–9-0.0723%1 Jul →
anubis13–2-0.0327%1 Jul →
ancient13–8-0.0123%1 Jul →
ancient13–16-0.0618%1 Jul →
overpass13–30.0238%1 Jul →
dust213–70.0417%29 Jun →
mirage5–13-0.0722%29 Jun →
ancient13–5-0.0514%21 Jun →
inferno15–150.0120%21 Jun →
anubis15–19-0.0415%21 Jun →
mirage13–60.0427%21 Jun →
mirage8–13-0.0216%21 Jun →
dust213–20.0013%21 Jun →
dust213–80.0122%21 Jun →
ancient13–9-0.0113%21 Jun →
dust213–60.0810%21 Jun →
dust213–10-0.0420%21 Jun →
inferno13–160.0136%20 Jun →
cache4–13-0.0525%20 Jun →
cache3–13-0.0524%20 Jun →
overpass13–6-0.0612%20 Jun →
cache13–90.0022%19 Jun →
anubis5–13-0.063%17 Jun →
mirage23–25-0.0023%17 Jun →
ancient12–160.0223%17 Jun →
ancient13–10-0.0218%17 Jun →

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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