ding

ding — CS2 Stats

US76561199132227005[U:1:1171961277]Steam profile ↗✓ No bans

580Tracked matches46%Win rate2022Tracked since
564Hours in CS35Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating16,895Purple band · top ~20.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−846Premier CS Rating · 17,741 → 16,895

Rating over time

Premier CS Rating: 16,895 +531 5 Aug – 16 Oct · 29 days played
16,36419,460peak 19,4605 Aug16 Oct
19,765Peak Premier in tracked matches
31Days played since 2026-08-05

Premier CS Rating

  • 2,565 below peak (19,460)
  • -335 over 30 days · steady
  • Next: Pink band at 20,000 — 3,105 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.3%44.3%46.9%meets
Shot accuracy1.4%11.9%13.0%11.6% short
Kill/death ratio0.971.031.080.11 short
Match win rate47.1%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdingPREMIER16,895 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning60
Utility63

0–100 skill scores via Leetify.

Recent form

COLD52–42–6Last 10052%Win rateLLLWLLTLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · −20ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 544ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 554ms

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 (+3.8 against its own average).

Aim8.1
Utility6.3
Positioning6.0
Opening Duels2.7
Clutch10.0

Strong CT-side openerEffective flashesReliable 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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 552ms 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

Aim8.1
Positioning6.0
Utility6.3
Mechanics6.8
Opening Duels3.4
Win Impact3.8

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time550ms−16ms
first ⅓ avg 567ms → last ⅓ avg 550ms
Headshot accuracy14.6%−0.9%
first ⅓ avg 15.5% → last ⅓ avg 14.6%

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

0.17Best match rating · 9–4 · inferno, 9 Oct →
34%Best headshot accuracy · 9–7 · inferno, 28 Sept →
422msFastest reaction time · 7–9 · inferno, 13 Sept →
13–1Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–10In matches decided by ≤2 rounds
19Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD214–1719%-0.01
ancientS1913–668%0.02
dust2B178–947%0.00
nukeS1612–475%0.03
mirageC125–742%0.01
cacheC73–443%-0.01
anubisS76–186%0.02
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,343Lifetime kills
0.97K/D
820Matches
47.1%Match win rate · Top 50% of Purple band
46.3%Headshot % · Top 50% of Purple band
1.4%Shot accuracy
2,166MVPs
306Hours (in match)
878Bombs planted
273Bombs defused

Most-used weapons

Lifetime map wins

1,584dust2
1,556inferno
1,173nuke
151train
45vertigo
13office

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

Faceit stats

Combat

4Matches
50%Win rate
0.99Avg K/D
75.6ADR
52%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2250%1.0011.5
Mirage250%0.9922.5

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.

13.9%Headshot accuracy
41.8%Accuracy (enemy spotted)
42.1%Spray accuracy
80.8%Counter-strafing
9.7°Preaim
552msReaction time
38.3%T opening success
48.9%CT opening success
0.77Enemies flashed / flash
5.0%Flash assists
9.11HE damage / grenade
12.98Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.944% — below the 15% mark we flag

    Aim Training →
  2. 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 38.3333% — below the 40% mark we flag

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.

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage14–16-0.0310%16 Oct →
mirage14–160.0414%16 Oct →
dust25–130.0212%16 Oct →
ancient9–30.0619%16 Oct →
dust210–130.0115%15 Oct →
inferno7–13-0.0511%15 Oct →
dust215–15-0.0216%13 Oct →
inferno5–13-0.088%11 Oct →
mirage10–13-0.0112%11 Oct →
cache16–130.0615%11 Oct →
mirage7–130.0913%11 Oct →
ancient13–60.0214%11 Oct →
anubis13–50.0813%11 Oct →
cache4–13-0.0316%11 Oct →
nuke13–10.1219%11 Oct →
inferno5–13-0.0416%11 Oct →
mirage13–110.049%11 Oct →
cache6–13-0.0418%9 Oct →
nuke13–6-0.0113%9 Oct →
cache3–13-0.0519%9 Oct →
dust216–120.0616%9 Oct →
inferno9–40.1717%9 Oct →
nuke7–130.0617%9 Oct →
ancient13–60.0418%9 Oct →
ancient13–11-0.0713%9 Oct →
inferno11–130.0113%9 Oct →
inferno15–15-0.0311%8 Oct →
mirage13–100.0016%7 Oct →
dust213–50.076%7 Oct →
mirage17–19-0.0220%6 Oct →
dust213–8-0.019%4 Oct →
dust213–160.0327%2 Oct →
cache13–70.0520%2 Oct →
anubis13–6-0.0417%2 Oct →
nuke7–13-0.0412%2 Oct →
ancient13–60.0112%2 Oct →
vertigo13–8-0.0210%2 Oct →
ancient13–50.1313%2 Oct →
anubis13–9-0.0312%2 Oct →
cache10–13-0.0316%2 Oct →
nuke13–90.0725%1 Oct →
nuke13–30.1629%1 Oct →
dust26–130.0329%1 Oct →
mirage6–13-0.0714%28 Sept →
nuke11–130.0124%28 Sept →
inferno9–70.0834%28 Sept →
mirage13–110.0423%25 Sept →
dust216–130.0014%21 Sept →
nuke13–80.0712%21 Sept →
inferno6–13-0.0522%21 Sept →
ancient13–11-0.0025%21 Sept →
inferno8–80.0421%21 Sept →
anubis16–120.0520%13 Sept →
inferno2–13-0.068%13 Sept →
inferno7–9-0.0620%13 Sept →
ancient9–13-0.0520%12 Sept →
ancient11–13-0.0312%28 Aug →
dust216–130.0015%28 Aug →
ancient13–10-0.0618%28 Aug →
nuke11–130.0829%28 Aug →
inferno9–50.077%28 Aug →
cache13–10-0.0121%25 Aug →
ancient10–13-0.0115%25 Aug →
ancient10–130.0521%24 Aug →
inferno1–13-0.0919%24 Aug →
nuke13–8-0.0221%24 Aug →
inferno5–13-0.0115%24 Aug →
inferno6–9-0.0122%24 Aug →
inferno10–130.017%21 Aug →
anubis16–13-0.0012%21 Aug →
dust28–13-0.085%20 Aug →
inferno5–13-0.0316%20 Aug →
nuke13–11-0.0515%19 Aug →
ancient13–10-0.0024%19 Aug →
ancient13–100.1113%18 Aug →
inferno11–130.0320%18 Aug →
dust216–140.0115%18 Aug →
anubis10–130.0519%17 Aug →
nuke13–5-0.0118%17 Aug →
ancient5–130.0417%17 Aug →
nuke13–90.049%17 Aug →
ancient16–130.008%16 Aug →
dust213–7-0.0210%16 Aug →
mirage13–30.0211%15 Aug →
mirage9–130.0111%15 Aug →
inferno13–30.0330%15 Aug →
nuke13–10-0.0513%15 Aug →
ancient3–13-0.0418%15 Aug →
ancient13–100.0916%10 Aug →
inferno6–13-0.0420%10 Aug →
dust211–130.0411%10 Aug →
dust215–15-0.0117%9 Aug →
dust26–4-0.0120%9 Aug →
nuke13–9-0.0016%9 Aug →
inferno8–8-0.039%9 Aug →
nuke13–100.0522%8 Aug →
mirage16–12-0.0012%8 Aug →
dust215–15-0.0714%7 Aug →
ancient16–140.0215%7 Aug →
anubis16–140.0028%5 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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