thaikku

thaikku — CS2 Stats

TH76561198153033456[U:1:192767728]Steam profile ↗✓ No bans

2,183Tracked matches27%Win rate2022Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating8,779Light Blue band · top ~60.7% 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 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−177Premier CS Rating · 8,956 → 8,779
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 31 days played since 27 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,779 -1,889 27 Jul20 Sept · 30 days played
8,77912,708peak 12,70827 Jul20 Sept
13,044Peak Premier in tracked matches
31Days played since 2026-07-27

Premier CS Rating

  • 3,929 below peak (12,708)
  • -1,220 over 30 days · declining
  • Next: Blue band at 10,000 1,221 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.

Share this profile

CSDB.GGthaikkuFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER8,779 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning42
Utility51

0–100 skill scores via Leetify.

Recent form

COLD35632Last 10035%Win rateLLLLLLLLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −4.9pp headshot accuracy · −144ms reaction

Win rate down 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

Last 10

  • 19 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 573ms

Last 20

  • 416 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 645ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim4.6
Utility5.1
Positioning4.2
Opening Duels0.1
Clutch3.2

Limited utility dependence

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 642ms 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

Aim4.6
Positioning4.2
Utility5.1
Mechanics5.6
Opening Duels1.8
Win Impact0.0

Composite 3.6/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time651ms−42ms
first ⅓ avg 693ms → last ⅓ avg 651ms
Headshot accuracy15.4%+1.2%
first ⅓ avg 14.1% → last ⅓ avg 15.4%

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

0.15Best match rating · 13–6 · cache, 22 Aug
37%Best headshot accuracy · 13–6 · inferno, 31 Jul
422msFastest reaction time · 1–13 · ancient, 17 Sept
13–2Biggest win · nuke, 24 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
L9Current streak
1311In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 68% over 19mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D2261627%-0.04
nukeS1913668%-0.01
infernoD1541127%-0.03
cacheC145936%-0.02
ancientD1441029%-0.03
anubisD92722%-0.01
mirageD71614%-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

119Matches
45%Win rate
0.97Avg K/D
69.3ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2952%0.8813.9
Inferno2650%1.3013.7
Dust21937%0.7411.8
Mirage1323%0.8710.3
Anubis1145%0.9514.6
Overpass1070%1.0014.1
Cache540%0.8317.2
Vertigo333%0.8711.7

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.

15.3%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.7%Spray accuracy
75.3%Counter-strafing
11.5°Preaim
642msReaction time
36.6%T opening success
37.9%CT opening success
0.55Enemies flashed / flash
7.9%Flash assists
6.18HE damage / grenade
4.21Flashes / 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 36.5936% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0117%20 Sept
dust23–130.019%20 Sept
mirage7–13-0.0713%20 Sept
ancient14–16-0.036%17 Sept
anubis11–130.0518%17 Sept
ancient1–13-0.0710%17 Sept
dust26–13-0.0813%17 Sept
nuke10–13-0.0613%17 Sept
mirage11–13-0.0020%16 Sept
inferno16–12-0.0110%16 Sept
nuke13–30.0420%16 Sept
dust212–16-0.028%16 Sept
cache9–13-0.0524%16 Sept
dust24–13-0.0731%13 Sept
cache5–13-0.0921%13 Sept
cache13–16-0.0321%12 Sept
ancient13–11-0.0516%10 Sept
dust213–4-0.0013%6 Sept
nuke9–13-0.0517%6 Sept
ancient1–13-0.088%31 Aug
inferno9–130.0127%31 Aug
dust23–13-0.128%31 Aug
anubis6–13-0.0416%25 Aug
nuke13–20.0815%24 Aug
ancient16–130.0314%24 Aug
nuke13–60.008%24 Aug
anubis10–13-0.0614%24 Aug
cache7–13-0.0328%24 Aug
dust210–130.0515%23 Aug
dust213–11-0.029%23 Aug
mirage9–13-0.0813%23 Aug
inferno9–130.0218%23 Aug
dust24–13-0.0517%22 Aug
nuke13–50.1017%22 Aug
inferno13–11-0.0518%22 Aug
ancient11–13-0.0423%22 Aug
cache13–20.0826%22 Aug
cache13–60.1523%22 Aug
anubis8–13-0.036%22 Aug
dust27–13-0.0615%22 Aug
ancient11–130.039%22 Aug
anubis4–130.0316%22 Aug
nuke16–14-0.0714%21 Aug
ancient8–13-0.0112%21 Aug
dust213–4-0.028%21 Aug
inferno4–13-0.0316%21 Aug
dust26–13-0.0324%21 Aug
dust216–14-0.029%19 Aug
nuke6–13-0.0829%19 Aug
dust24–13-0.0522%18 Aug
nuke13–11-0.0514%17 Aug
ancient12–16-0.0515%13 Aug
nuke11–130.0011%11 Aug
inferno13–16-0.0410%11 Aug
ancient11–130.0117%10 Aug
inferno15–15-0.0322%10 Aug
cache6–13-0.088%9 Aug
inferno0–13-0.1113%9 Aug
dust27–13-0.0612%9 Aug
inferno9–13-0.0014%8 Aug
inferno9–130.0411%7 Aug
nuke8–13-0.0115%7 Aug
nuke13–11-0.0227%7 Aug
nuke13–90.0119%7 Aug
ancient7–13-0.0018%7 Aug
dust23–13-0.0720%7 Aug
nuke16–14-0.066%7 Aug
dust213–9-0.067%7 Aug
cache16–14-0.0225%7 Aug
nuke15–15-0.0212%6 Aug
cache13–40.0520%6 Aug
cache14–16-0.0610%4 Aug
inferno3–13-0.078%4 Aug
dust213–10-0.0115%3 Aug
ancient9–13-0.109%2 Aug
nuke13–100.0417%2 Aug
anubis13–11-0.0111%2 Aug
inferno11–13-0.034%2 Aug
cache7–13-0.0313%2 Aug
mirage6–130.0015%31 Jul
ancient13–11-0.0413%31 Jul
cache2–13-0.0611%31 Jul
anubis6–13-0.0210%31 Jul
ancient16–130.0216%31 Jul
anubis10–13-0.0515%31 Jul
mirage3–13-0.0821%31 Jul
dust211–13-0.0116%31 Jul
dust27–13-0.0422%31 Jul
inferno13–6-0.0637%31 Jul
inferno13–80.0212%30 Jul
dust25–13-0.0621%30 Jul
inferno7–13-0.0513%29 Jul
mirage9–13-0.0019%29 Jul
nuke13–8-0.0014%28 Jul
anubis13–40.0517%28 Jul
mirage13–11-0.026%28 Jul
cache13–4-0.087%28 Jul
dust26–13-0.088%27 Jul
nuke13–110.0315%27 Jul
nuke13–4-0.016%27 Jul

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 →