Ta

Ta — CS2 Stats

BB76561198023548631[U:1:63282903]Steam profile ↗✓ No bans

969Tracked matches37%Win rate2021Tracked since
5,222Hours in CS15Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating20,730Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#74149 of 261677 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 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: 20,730 +1,404 9 Aug – 12 Nov · 45 days played
18,74222,949peak 22,9499 Aug12 Nov
23,192Peak Premier in tracked matches
46Days played since 2026-08-09

Premier CS Rating

  • 2,219 below peak (22,949)
  • -1,121 over 30 days · declining
  • +1,988 over 90 days
  • Next: Red band at 25,000 — 4,270 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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=42,632), 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 rate48.5%46.9%49.3%meets
Shot accuracy16.0%13.0%13.3%above
Kill/death ratio1.101.081.12meets
Match win rate46.6%46.7%48.5%2.0% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Match win 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.GGTaPREMIER20,730 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning58
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWLLLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · +47ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 558ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 534ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim8.3
Utility2.4
Positioning5.8
Opening Duels4.5
Clutch6.0

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

donk

Plays most like donk 85% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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

Aim8.3
Positioning5.8
Utility2.4
Mechanics5.7
Opening Duels5.9
Win Impact0.6

Composite 5.6/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time539ms+25ms
first ⅓ avg 514ms → last ⅓ avg 539ms
Headshot accuracy18.9%+1.5%
first ⅓ avg 17.5% → last ⅓ avg 18.9%

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

0.15Best match rating · 11–13 · inferno, 11 Nov →
41%Best headshot accuracy · 9–13 · cache, 11 Nov →
344msFastest reaction time · 8–13 · ancient, 10 Oct →
13–2Biggest win · nuke, 8 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%0.01
infernoA2314–961%0.04
anubisC187–1139%0.01
cacheC125–742%0.00
nukeS75–271%0.03
dust2C73–443%0.02
ancientD72–529%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,670Lifetime kills
1.10K/D · Top 50% of Pink band
6,563Matches
46.6%Match win rate
48.5%Headshot % · Top 50% of Pink band
16.0%Shot accuracy · Top 25% of Pink band
24,052MVPs
3,085Hours (in match)
4,771Bombs planted
1,542Bombs defused

Most-used weapons

AK-4765,252
AWP7,333
AUG4,084
P2503,123
FAMAS2,596
SG 5532,331

Lifetime map wins

15,168inferno
7,827dust2
4,963nuke
873cbble
657train
487vertigo
223office
90lake

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

Faceit stats

Combat

63Matches
54%Win rate
1.31Avg K/D
107.0ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%1.5124.3
Cache20%1.1418.0
Dust2250%1.3816.0
Inferno10%1.6927.0
Anubis1100%1.6423.0
Nuke1100%1.8342.0

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.

19.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.0%Spray accuracy
75.8%Counter-strafing
7.6°Preaim
529msReaction time
59.9%T opening success
47.3%CT opening success
0.25Enemies flashed / flash
2.9%Flash assists
11.83HE damage / grenade
2.50Flashes / 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 0.2535 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0020%12 Nov →
cache13–11-0.007%12 Nov →
inferno13–60.0316%12 Nov →
cache4–130.0115%11 Nov →
inferno11–130.1521%11 Nov →
mirage9–13-0.0317%11 Nov →
cache9–13-0.0741%11 Nov →
inferno13–110.0121%9 Nov →
nuke13–20.029%8 Nov →
dust210–130.0521%7 Nov →
inferno16–120.0728%7 Nov →
mirage7–130.0015%7 Nov →
cache13–90.0728%7 Nov →
mirage8–130.0019%7 Nov →
mirage5–130.0411%7 Nov →
anubis10–10.0815%7 Nov →
anubis9–130.0621%6 Nov →
inferno16–13-0.0011%5 Nov →
mirage13–60.0621%5 Nov →
anubis4–130.0211%3 Nov →
mirage10–13-0.0217%3 Nov →
cache10–130.1013%3 Nov →
dust29–130.0229%27 Oct →
ancient7–13-0.0216%24 Oct →
ancient6–13-0.0221%24 Oct →
inferno9–130.0526%22 Oct →
nuke13–110.1121%16 Oct →
dust210–130.0421%16 Oct →
inferno13–60.0316%14 Oct →
cache1–13-0.0917%13 Oct →
nuke10–13-0.0111%13 Oct →
inferno7–13-0.0110%13 Oct →
nuke5–13-0.0339%13 Oct →
inferno13–70.0122%12 Oct →
mirage13–110.0812%12 Oct →
dust213–11-0.0620%11 Oct →
anubis4–13-0.0118%11 Oct →
ancient8–130.0112%10 Oct →
inferno13–40.0322%10 Oct →
cache11–13-0.0115%10 Oct →
nuke13–100.0419%10 Oct →
dust213–80.1025%9 Oct →
anubis7–13-0.0115%9 Oct →
inferno13–60.0318%9 Oct →
nuke13–90.0722%7 Oct →
mirage12–12-0.048%7 Oct →
inferno11–13-0.0511%7 Oct →
mirage11–130.0614%6 Oct →
inferno8–80.0826%6 Oct →
inferno13–30.1210%5 Oct →
inferno13–60.0527%5 Oct →
mirage13–100.0319%3 Oct →
dust26–13-0.019%2 Oct →
mirage9–130.019%2 Oct →
dust213–100.0120%2 Oct →
anubis8–130.0321%2 Oct →
cache14–16-0.0211%1 Oct →
mirage11–130.0312%30 Sept →
inferno13–60.0122%30 Sept →
mirage13–110.0521%29 Sept →
mirage4–13-0.0121%29 Sept →
anubis13–30.0927%27 Sept →
anubis7–130.0227%26 Sept →
cache13–30.0415%26 Sept →
ancient13–100.0221%26 Sept →
cache3–13-0.0715%26 Sept →
mirage11–13-0.0518%26 Sept →
anubis5–13-0.0410%26 Sept →
inferno13–9-0.0018%16 Sept →
anubis10–13-0.0114%16 Sept →
mirage5–13-0.019%11 Sept →
inferno10–130.0318%11 Sept →
mirage8–130.0632%11 Sept →
ancient13–11-0.0121%11 Sept →
anubis2–1-0.070%10 Sept →
cache13–50.0215%10 Sept →
mirage16–140.0314%6 Sept →
anubis13–8-0.0119%6 Sept →
cache16–140.0315%6 Sept →
ancient15–150.0221%6 Sept →
nuke13–90.0325%5 Sept →
mirage13–90.0014%5 Sept →
anubis13–50.0430%2 Sept →
inferno13–70.0619%30 Aug →
mirage8–13-0.0213%29 Aug →
mirage13–70.0614%27 Aug →
anubis1–13-0.0629%25 Aug →
anubis13–110.0317%20 Aug →
mirage13–70.1025%19 Aug →
inferno8–130.0525%18 Aug →
mirage7–13-0.0419%16 Aug →
mirage13–9-0.0324%16 Aug →
anubis13–6-0.0018%16 Aug →
inferno16–120.0517%15 Aug →
mirage13–7-0.017%15 Aug →
inferno7–130.0116%13 Aug →
anubis7–130.0325%10 Aug →
mirage13–9-0.075%10 Aug →
ancient10–130.0819%9 Aug →
inferno9–130.0910%9 Aug →

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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