Tai

Tai — CS2 Stats

US76561197993130414[U:1:32864686]Steam profile ↗✓ No bans

559Tracked matches62%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating24,019Top 25% of 204,793 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#31022 of 251924 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+578Premier CS Rating · 23,441 → 24,019

Rating over time

Premier CS Rating: 24,019 +3,224 29 Aug – 15 Oct · 35 days played
17,82824,364peak 24,36429 Aug15 Oct
24,364Peak Premier in tracked matches
34Days played since 2026-08-29

Premier CS Rating

  • 345 below peak (24,364)
  • +4,811 over 30 days · improving
  • Next: Red band at 25,000 — 981 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGTaiFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,019 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning70
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLWWWLLLTL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +5.8pp headshot accuracy · −52ms reaction

Win rate down 40pp 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 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 538ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 523ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 549ms

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).

Aim7.6
Utility5.3
Positioning7.0
Opening Duels4.4
Clutch4.0

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.6
Positioning7.0
Utility5.3
Mechanics6.6
Opening Duels5.9
Win Impact9.0

Composite 7.1/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time552ms+18ms
first ⅓ avg 535ms → last ⅓ avg 552ms
Headshot accuracy19.9%−1.5%
first ⅓ avg 21.4% → last ⅓ avg 19.9%

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

0.18Best match rating · 13–2 · nuke, 1 Oct →
38%Best headshot accuracy · 13–5 · inferno, 24 Sept →
375msFastest reaction time · 13–5 · inferno, 24 Sept →
13–2Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 75% over 8mirageWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%0.03
dust2B2010–1050%0.04
infernoB158–753%0.02
nukeA149–564%0.04
anubisA117–464%0.02
cacheS86–275%0.03
ancientS86–275%0.02
poseidon—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 23). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

440Matches
54%Win rate
1.40Avg K/D
89.4ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2752%1.1917.0
Dust22045%1.1918.2
Inferno1250%1.4219.2
Ancient967%1.3717.2
Anubis850%1.6223.1
Nuke757%1.3219.0
Overpass250%1.5423.0
Cache10%1.0428.0

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.

20.4%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.0%Spray accuracy
79.7%Counter-strafing
9.1°Preaim
544msReaction time
56.3%T opening success
50.9%CT opening success
0.55Enemies flashed / flash
7.5%Flash assists
12.14HE damage / grenade
6.49Flashes / match

Recommended for you

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0225%15 Oct →
mirage9–130.0120%15 Oct →
cache13–70.0025%15 Oct →
anubis13–30.0529%15 Oct →
dust213–40.1025%14 Oct →
mirage7–130.0332%14 Oct →
ancient4–13-0.0515%14 Oct →
mirage8–13-0.0230%13 Oct →
dust215–150.0215%13 Oct →
anubis15–19-0.0026%13 Oct →
cache13–11-0.0013%12 Oct →
cache13–60.0717%12 Oct →
anubis13–80.0823%12 Oct →
anubis13–90.0417%12 Oct →
anubis13–30.0619%12 Oct →
nuke13–100.0720%12 Oct →
dust213–70.0510%11 Oct →
dust211–130.0126%11 Oct →
mirage13–80.0418%7 Oct →
nuke1–130.0221%7 Oct →
anubis13–7-0.037%6 Oct →
dust213–90.0626%6 Oct →
inferno6–130.0126%5 Oct →
dust28–130.0125%5 Oct →
anubis13–110.0419%4 Oct →
ancient12–16-0.0315%4 Oct →
nuke13–30.1628%4 Oct →
inferno12–16-0.0219%4 Oct →
dust213–50.0419%4 Oct →
mirage13–70.069%3 Oct →
nuke13–6-0.0810%2 Oct →
inferno13–100.0420%2 Oct →
inferno5–00.029%2 Oct →
dust28–130.0119%1 Oct →
nuke13–20.1817%1 Oct →
nuke11–130.0319%30 Sept →
dust216–120.0628%30 Sept →
mirage10–130.0216%29 Sept →
cache10–13-0.0319%29 Sept →
dust28–130.0027%28 Sept →
mirage13–160.0018%28 Sept →
dust213–110.0227%27 Sept →
cache15–150.0521%27 Sept →
mirage15–150.0230%27 Sept →
nuke13–100.0314%26 Sept →
inferno10–13-0.0120%26 Sept →
mirage4–13-0.0329%26 Sept →
nuke1–5-0.070%26 Sept →
cache13–70.0224%25 Sept →
anubis11–130.0222%25 Sept →
mirage6–13-0.0522%25 Sept →
ancient16–14-0.0118%24 Sept →
inferno13–5-0.0038%24 Sept →
dust213–16-0.0024%24 Sept →
mirage9–00.1722%23 Sept →
dust211–130.0018%23 Sept →
ancient13–40.0120%22 Sept →
inferno5–130.0538%22 Sept →
mirage9–130.0416%22 Sept →
mirage13–40.0515%21 Sept →
ancient13–30.0826%20 Sept →
inferno13–80.0533%20 Sept →
mirage13–60.1320%20 Sept →
ancient13–90.0915%20 Sept →
nuke13–70.0711%19 Sept →
dust213–50.1221%18 Sept →
cache13–100.0126%18 Sept →
mirage8–4-0.0021%18 Sept →
anubis11–130.0122%18 Sept →
nuke13–6-0.0315%17 Sept →
cache13–40.0920%17 Sept →
ancient13–100.0420%17 Sept →
dust211–130.0623%17 Sept →
inferno13–80.0421%16 Sept →
anubis13–6-0.0329%16 Sept →
inferno13–60.0321%16 Sept →
mirage13–60.0618%15 Sept →
ancient13–30.0612%15 Sept →
mirage13–50.0113%14 Sept →
nuke11–130.0220%12 Sept →
mirage10–130.0131%12 Sept →
inferno13–50.0518%12 Sept →
mirage4–13-0.0423%12 Sept →
dust213–90.0823%12 Sept →
inferno11–13-0.0224%11 Sept →
inferno13–160.0216%11 Sept →
nuke10–130.0319%11 Sept →
mirage8–13-0.0629%10 Sept →
dust28–13-0.0117%10 Sept →
poseidon3–90.0014%10 Sept →
anubis9–13-0.0120%10 Sept →
mirage8–130.0721%9 Sept →
nuke13–110.0119%9 Sept →
mirage13–110.0618%9 Sept →
dust213–80.0730%9 Sept →
mirage5–130.0121%9 Sept →
nuke13–50.1725%8 Sept →
dust210–130.0522%8 Sept →
inferno10–130.0131%8 Sept →
inferno13–70.0528%8 Sept →

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 →

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