taikapossu

taikapossu — CS2 Stats

76561198068493766[U:1:108228038]Steam profile ↗✓ No bans

1,132Tracked matches52%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
Premier CS Rating21,501Top 50% of 205,416 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#61329 of 252473 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 21,501 -176 11 Sept – 15 Oct · 8 days played
21,30922,237peak 22,23711 Sept15 Oct
Faceit ELO: 1,946 +0 1 Sept – 17 Sept · 2 observations
1,9461,946peak 1,9461 Sept17 Sept
22,237Peak Premier in tracked matches
1,946Highest Faceit ELO seen on CSDB
24Days played since 2026-08-11

Premier CS Rating

  • 736 below peak (22,237)
  • -736 over 30 days · declining
  • Next: Red band at 25,000 — 3,499 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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.GGtaikapossuPREMIER21,501 · Pink bandPEAK ELO1,946csdb.gg/stats

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Performance scores

Aim91
Positioning69
Utility45

0–100 skill scores via Leetify.

Recent form

COLD48–38–14Last 10048%Win rateWTLTLLWLWL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +1.7pp headshot accuracy · +13ms reaction

Win rate 0pp 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 553ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 512ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 506ms

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 (+2.1 against its own average).

Aim9.1
Utility4.5
Positioning6.9
Opening Duels4.5
Clutch3.4

Sharp aimerLimited 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

donk

Plays most like donk 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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

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
Positioning6.9
Utility4.5
Mechanics7.5
Opening Duels6.1
Win Impact5.7

Composite 7.2/10 (Strong), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time497ms−86ms
first ⅓ avg 583ms → last ⅓ avg 497ms
Headshot accuracy22.0%−2.4%
first ⅓ avg 24.4% → last ⅓ avg 22.0%

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

0.21Best match rating · 13–7 · train, 11 Sept →
62%Best headshot accuracy · 13–6 · train, 26 Aug →
375msFastest reaction time · 13–16 · inferno, 13 Sept →
13–0Biggest win · mirage, 11 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 63% over 8infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB158–753%0.02
mirageA148–657%0.03
cacheD134–931%0.02
infernoD123–925%0.03
vertigoA116–555%0.08
ancientC114–736%0.04
trainA106–460%0.08
dust2A85–363%0.06
anubis—21–150%0.03
overpass—22–0100%0.17
office—11–0100%0.09
debris—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

186Matches
59%Win rate
1.23Avg K/D
80.1ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5959%1.2316.6
Nuke2665%1.2616.6
Inferno2370%1.4717.6
Ancient2162%1.3619.2
Dust21844%1.1315.1
Anubis1250%1.1215.7
Train875%1.2820.5
Overpass850%0.9913.1

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.

21.5%Headshot accuracy
39.6%Accuracy (enemy spotted)
41.9%Spray accuracy
83.9%Counter-strafing
8.2°Preaim
508msReaction time
59.6%T opening success
49.2%CT opening success
0.48Enemies flashed / flash
9.7%Flash assists
7.90HE damage / grenade
4.32Flashes / 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 0.4822 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–80.0619%16 Oct →
inferno12–120.0535%16 Oct →
cache9–13-0.0323%16 Oct →
cache12–120.0315%15 Oct →
cache6–130.0121%15 Oct →
mirage9–130.0420%15 Oct →
office13–100.0924%10 Oct →
ancient1–70.030%10 Oct →
inferno13–70.0841%10 Oct →
cache8–130.0017%6 Oct →
mirage5–13-0.0218%6 Oct →
inferno16–140.0215%5 Oct →
anubis3–13-0.0223%3 Oct →
ancient11–13-0.0011%3 Oct →
inferno15–15-0.0321%3 Oct →
inferno13–11-0.0224%3 Oct →
ancient12–120.1115%2 Oct →
nuke0–9-0.2638%2 Oct →
dust213–110.0317%2 Oct →
train6–130.0716%2 Oct →
overpass13–60.1939%1 Oct →
vertigo12–120.0919%26 Sept →
nuke12–120.0418%26 Sept →
dust210–130.0729%26 Sept →
train13–90.0529%26 Sept →
cache13–70.0618%26 Sept →
anubis13–80.0824%26 Sept →
overpass13–30.1528%26 Sept →
inferno12–120.0425%25 Sept →
train3–13-0.170%25 Sept →
mirage13–90.0329%13 Sept →
inferno13–160.0031%13 Sept →
ancient10–130.0024%13 Sept →
dust213–90.029%13 Sept →
ancient5–13-0.0429%11 Sept →
nuke13–9-0.0238%11 Sept →
train13–40.1630%11 Sept →
train13–70.2145%11 Sept →
inferno12–120.0631%11 Sept →
nuke12–120.0624%11 Sept →
mirage13–00.1328%11 Sept →
cache13–60.1030%11 Sept →
vertigo12–120.0527%11 Sept →
debris4–9-0.0431%4 Sept →
ancient3–13-0.0212%4 Sept →
inferno10–130.0838%4 Sept →
vertigo13–110.0244%4 Sept →
nuke13–40.0928%4 Sept →
train13–20.1432%4 Sept →
inferno10–130.0840%4 Sept →
cache10–13-0.0138%4 Sept →
ancient13–10-0.0017%4 Sept →
mirage3–100.0115%4 Sept →
dust213–100.0130%1 Sept →
mirage13–10.0626%31 Aug →
vertigo13–90.0728%31 Aug →
vertigo13–9-0.0316%29 Aug →
cache14–160.0021%28 Aug →
train13–60.0862%26 Aug →
inferno5–13-0.0323%23 Aug →
ancient13–70.0713%23 Aug →
dust213–100.0537%22 Aug →
nuke13–50.0927%22 Aug →
vertigo11–130.0727%22 Aug →
vertigo13–90.1534%22 Aug →
mirage13–10-0.0118%22 Aug →
mirage13–40.0820%22 Aug →
nuke13–6-0.0112%21 Aug →
mirage5–13-0.0621%21 Aug →
cache14–16-0.0118%21 Aug →
nuke16–13-0.0210%21 Aug →
cache13–80.0122%21 Aug →
nuke7–130.0627%21 Aug →
nuke10–13-0.0116%21 Aug →
inferno11–130.0122%21 Aug →
nuke13–80.0725%21 Aug →
ancient13–80.1629%21 Aug →
nuke12–120.0618%14 Aug →
cache9–130.0117%14 Aug →
vertigo13–40.1533%14 Aug →
mirage13–90.0621%14 Aug →
cache13–30.0819%14 Aug →
nuke13–10-0.0424%14 Aug →
ancient5–130.0518%14 Aug →
mirage6–13-0.012%14 Aug →
train11–130.1033%14 Aug →
cache8–13-0.0332%12 Aug →
ancient7–30.0340%12 Aug →
nuke9–130.0438%12 Aug →
mirage7–130.0119%12 Aug →
train5–130.0133%12 Aug →
vertigo4–130.0838%12 Aug →
nuke13–00.0831%12 Aug →
dust213–90.1236%12 Aug →
train13–90.1415%12 Aug →
dust212–120.0243%12 Aug →
dust212–120.1225%11 Aug →
vertigo12–120.1827%11 Aug →
mirage13–70.0318%11 Aug →
mirage13–60.1322%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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