GH05T 2.0

GH05T 2.0 — CS2 Stats

76561198139165988[U:1:178900260]Steam profile ↗✓ No bans

631Tracked matches53%Win rate2020Tracked since
2,963Hours in CS12Hrs last 2 wks
CSDB Rating6.5 SolidClutch Specialist
Premier CS Rating21,317Top 50% of 212,379 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#65709 of 259425 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (10 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: 21,317 -2,501 14 Mar – 23 Oct · 21 days played
20,53424,607peak 24,60714 Mar23 Oct
24,607Peak Premier in tracked matches
38Days played since 2026-03-14

Premier CS Rating

  • 3,290 below peak (24,607)
  • +477 over 30 days · improving
  • Next: Red band at 25,000 — 3,683 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 rate59.3%46.9%49.3%above
Shot accuracy16.3%13.0%13.4%above
Kill/death ratio1.381.081.12above
Match win rate40.6%46.7%48.5%7.9% 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.GGGH05T 2.0PREMIER21,317 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning49
Utility64

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWWLWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −7.1pp headshot accuracy · −75ms reaction

Win rate up 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 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 522ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 537ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 574ms

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 (+1.5 against its own average).

Aim8.5
Utility6.4
Positioning4.9
Opening Duels3.6
Clutch7.0

Sharp aimerReliable in 1v1s

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

ZywOo

Plays most like ZywOo 98% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

Aim8.5
Positioning4.9
Utility6.4
Mechanics7.6
Opening Duels1.5
Win Impact6.1

Composite 6.5/10 (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 time567ms+2ms
first ⅓ avg 565ms → last ⅓ avg 567ms
Headshot accuracy23.6%+2.1%
first ⅓ avg 21.4% → last ⅓ avg 23.6%

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

0.20Best match rating · 13–5 · cache, 10 May →
50%Best headshot accuracy · 9–0 · inferno, 23 Jun →
313msFastest reaction time · 9–0 · inferno, 23 Jun →
13–2Biggest win · nuke, 19 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
4–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 71% over 14mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.01
anubisB189–950%0.02
nukeB168–850%0.01
ancientS1410–471%0.01
cacheC125–742%0.01
mirageC104–640%0.04
dust2—43–175%0.04
overpass—10–10%-0.03
vertigo—11–0100%0.02
shelter—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,205Lifetime kills
1.38K/D · Top 10% of Pink band
5,033Matches
40.6%Match win rate
59.3%Headshot % · Top 10% of Pink band
16.3%Shot accuracy · Top 25% of Pink band
14,066MVPs
1,713Hours (in match)
2,823Bombs planted
693Bombs defused

Most-used weapons

AK-4755,267
AWP7,781
P2503,885
MP71,823
Tec-91,662

Lifetime map wins

3,254dust2
2,306inferno
1,024nuke
754cbble
657train
652vertigo
99lake
57bank

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

Faceit stats

Combat

85Matches
60%Win rate
1.25Avg K/D
86.7ADR
42%Headshot %

Clutches & streaks

55%1v1 clutch win
23%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis450%1.7716.8
Nuke475%1.4118.3
Inferno3100%1.0615.0
Ancient2100%1.5714.0
Mirage20%1.1619.0
Cache1100%1.0617.0
Vertigo1100%2.5025.0
Dust210%1.3320.0

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.

23.9%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.1%Spray accuracy
84.0%Counter-strafing
9.8°Preaim
548msReaction time
35.0%T opening success
37.1%CT opening success
0.57Enemies flashed / flash
6.9%Flash assists
10.75HE damage / grenade
13.54Flashes / 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 34.9803% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–90.0218%24 Oct →
inferno13–9-0.0226%24 Oct →
anubis13–40.0716%23 Oct →
mirage10–130.0524%23 Oct →
nuke13–60.0822%23 Oct →
anubis13–90.0416%23 Oct →
ancient13–40.0029%23 Oct →
inferno13–100.0718%22 Oct →
nuke4–13-0.0116%22 Oct →
cache13–90.0021%22 Oct →
nuke8–130.0120%22 Oct →
mirage10–130.0524%22 Oct →
nuke13–60.0327%22 Oct →
nuke3–13-0.0322%19 Oct →
ancient1–5-0.0240%19 Oct →
inferno13–30.0528%14 Oct →
inferno11–13-0.0336%14 Oct →
dust213–80.0930%14 Oct →
cache10–130.0127%14 Oct →
mirage16–130.0223%14 Oct →
anubis8–130.0423%6 Oct →
mirage2–13-0.0526%6 Oct →
dust27–20.0317%6 Oct →
overpass8–13-0.0328%29 Sept →
vertigo13–40.0215%29 Sept →
nuke13–100.0920%24 Sept →
anubis11–130.0628%24 Sept →
mirage13–80.0730%24 Sept →
inferno4–130.0226%18 Sept →
anubis4–130.0325%18 Sept →
anubis3–130.0542%15 Sept →
inferno1–30.000%15 Sept →
cache16–130.0015%15 Sept →
mirage9–130.0327%14 Sept →
ancient13–70.0615%14 Sept →
nuke5–13-0.0945%14 Sept →
inferno9–30.0411%8 Sept →
inferno1–9-0.2314%8 Sept →
cache13–60.0132%28 Aug →
anubis13–100.0325%28 Aug →
nuke13–40.0437%28 Aug →
mirage13–100.0324%27 Aug →
cache3–13-0.1014%22 Aug →
shelter13–110.0223%22 Aug →
cache7–13-0.0620%22 Aug →
inferno13–9-0.0429%19 Aug →
anubis13–60.0928%19 Aug →
nuke13–20.0724%19 Aug →
inferno8–8-0.0222%16 Aug →
inferno9–50.0312%15 Aug →
inferno4–9-0.0735%15 Aug →
inferno7–90.1135%15 Aug →
nuke6–13-0.1122%14 Aug →
ancient13–5-0.0212%14 Aug →
cache8–130.0124%10 Aug →
ancient13–30.0925%10 Aug →
nuke10–13-0.0233%7 Aug →
inferno9–30.1238%7 Aug →
ancient3–13-0.0224%1 Aug →
nuke15–15-0.0234%1 Aug →
cache11–130.0525%1 Aug →
ancient13–60.0529%27 Jul →
anubis15–150.0318%27 Jul →
nuke13–110.0240%5 Jul →
inferno5–9-0.0712%5 Jul →
inferno9–00.0550%23 Jun →
inferno9–4-0.080%23 Jun →
nuke13–70.0738%22 Jun →
anubis13–100.0725%22 May →
ancient13–7-0.0310%22 May →
anubis13–100.0320%21 May →
inferno13–7-0.0215%21 May →
inferno11–13-0.0519%21 May →
anubis13–90.0314%21 May →
mirage13–20.1824%20 May →
inferno4–130.0022%20 May →
anubis8–130.0431%20 May →
anubis9–13-0.0718%10 May →
cache13–50.2032%10 May →
cache13–90.0721%10 May →
cache11–13-0.0314%9 May →
cache5–13-0.0226%9 May →
anubis13–3-0.0218%9 May →
mirage6–13-0.0638%23 Apr →
dust210–130.0325%23 Apr →
ancient13–80.0415%14 Apr →
anubis6–13-0.0330%14 Apr →
ancient6–13-0.0430%13 Apr →
nuke13–110.0629%13 Apr →
nuke9–130.0324%13 Apr →
ancient13–9-0.0513%13 Apr →
ancient8–130.0124%29 Mar →
anubis10–13-0.068%29 Mar →
mirage11–130.0416%29 Mar →
ancient13–110.0620%28 Mar →
inferno13–80.0217%28 Mar →
inferno9–13-0.0813%28 Mar →
anubis13–8-0.0320%28 Mar →
dust213–100.0131%23 Mar →
inferno11–13-0.067%14 Mar →

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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