⛟ DPTW ⛟

⛟ DPTW ⛟ — CS2 Stats

GB76561198090706882[U:1:130441154]Steam profile ↗✓ No bans

1,204Tracked matches52%Win rate2020Tracked since
4,186Hours in CS5Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating23,232Top 25% of 212,910 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#41090 of 259822 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 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: 23,232 -2,122 12 Aug – 30 Oct · 29 days played
22,21625,685peak 25,68512 Aug30 Oct
25,685Peak Premier in tracked matches
36Days played since 2026-08-12

Premier CS Rating

  • 2,453 below peak (25,685)
  • +223 over 30 days · steady
  • -2,122 over 90 days
  • Next: Red band at 25,000 — 1,768 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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 Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate40.1%48.2%50.9%10.8% short
Shot accuracy16.7%13.2%13.7%above
Kill/death ratio1.041.071.090.04 short
Match win rate46.6%46.9%48.4%1.8% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG⛟ DPTW ⛟FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,232 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning71
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWLLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +6.4pp headshot accuracy · −11ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 536ms

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 (+1.6 against its own average).

Aim8.5
Utility4.8
Positioning7.1
Opening Duels5.9
Clutch4.2

Sharp aimerStrong CT-side opener

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 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim8.5
Positioning7.1
Utility4.8
Mechanics6.8
Opening Duels8.7
Win Impact5.6

Composite 7.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time522ms−50ms
first ⅓ avg 572ms → last ⅓ avg 522ms
Headshot accuracy19.7%+2.1%
first ⅓ avg 17.6% → last ⅓ avg 19.7%

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

0.16Best match rating · 13–0 · cache, 30 Oct →
53%Best headshot accuracy · 2–13 · mirage, 29 Aug →
367msFastest reaction time · 1–13 · inferno, 29 Aug →
13–0Biggest win · cache, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
1–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%0.03
dust2C176–1135%0.01
nukeA148–657%0.02
cacheB136–746%0.03
infernoB136–746%0.00
anubisD72–529%0.01
ancientD51–420%-0.04
overpassS54–180%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,131Lifetime kills
1.04K/D
5,952Matches
46.6%Match win rate
40.1%Headshot %
16.7%Shot accuracy · Top 25% of Level 9 players
18,871MVPs
3,207Hours (in match)
7,844Bombs planted
2,877Bombs defused

Most-used weapons

AK-4756,451
AWP28,162
P2502,183
SSG 082,071
UMP-451,461

Lifetime map wins

9,674inferno
5,018dust2
3,632nuke
2,056train
1,156cbble
1,065vertigo
515office
190italy

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

Faceit stats

Combat

559Matches
54%Win rate
1.19Avg K/D
82.7ADR
38%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4048%1.1217.5
Dust22152%0.9614.4
Ancient1958%1.1814.4
Anubis1267%1.2315.0
Inferno1080%1.3719.3
Nuke875%1.1015.5
Cache743%1.3814.0
Vertigo450%1.0414.3

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.

19.4%Headshot accuracy
37.7%Accuracy (enemy spotted)
38.7%Spray accuracy
80.6%Counter-strafing
8.0°Preaim
529msReaction time
67.1%T opening success
62.5%CT opening success
0.54Enemies flashed / flash
4.1%Flash assists
8.55HE damage / grenade
6.31Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–00.1632%30 Oct →
dust213–8-0.0219%30 Oct →
dust210–13-0.0019%29 Oct →
dust28–130.037%29 Oct →
dust211–130.1022%28 Oct →
mirage13–100.0227%22 Oct →
cache13–5-0.0524%21 Oct →
dust213–50.0531%21 Oct →
nuke8–13-0.0120%18 Oct →
inferno13–70.0314%17 Oct →
mirage14–160.0417%15 Oct →
inferno11–13-0.130%15 Oct →
dust213–160.0423%14 Oct →
anubis15–15-0.0021%14 Oct →
mirage2–13-0.056%14 Oct →
cache13–80.0320%11 Oct →
mirage13–100.0619%11 Oct →
cache13–50.1014%11 Oct →
dust213–50.1120%11 Oct →
anubis2–13-0.0112%11 Oct →
inferno4–13-0.088%11 Oct →
ancient13–16-0.0314%11 Oct →
mirage13–10-0.0130%10 Oct →
dust213–30.0023%1 Oct →
nuke4–11-0.0426%30 Sept →
dust210–13-0.0519%30 Sept →
mirage13–90.0623%30 Sept →
nuke13–100.0120%29 Sept →
dust213–2-0.0022%28 Sept →
nuke10–130.0727%27 Sept →
nuke3–100.1428%27 Sept →
inferno13–7-0.0129%26 Sept →
inferno10–130.0415%26 Sept →
inferno5–130.0321%26 Sept →
overpass13–90.0313%26 Sept →
overpass8–130.0613%26 Sept →
mirage13–100.0313%26 Sept →
cache13–70.1416%26 Sept →
cache6–130.0120%26 Sept →
overpass13–80.0416%26 Sept →
cache7–13-0.0217%26 Sept →
mirage13–20.0421%26 Sept →
mirage13–50.0112%26 Sept →
inferno13–50.0419%26 Sept →
anubis13–40.1024%26 Sept →
nuke13–70.0310%26 Sept →
nuke15–150.0811%26 Sept →
cache10–130.0215%26 Sept →
dust29–130.0110%26 Sept →
anubis8–130.0310%26 Sept →
anubis16–120.0222%26 Sept →
mirage13–10.1317%23 Sept →
nuke13–3-0.0825%23 Sept →
inferno9–130.0618%23 Sept →
anubis14–16-0.0313%23 Sept →
cache3–120.0224%21 Sept →
mirage10–13-0.0423%20 Sept →
inferno10–130.0320%19 Sept →
ancient9–13-0.0918%18 Sept →
nuke14–160.0214%13 Sept →
dust22–13-0.0436%11 Sept →
mirage11–13-0.0219%11 Sept →
mirage13–50.1223%10 Sept →
mirage5–10.1227%10 Sept →
inferno16–140.0731%10 Sept →
cache2–130.0332%10 Sept →
nuke13–7-0.0113%5 Sept →
dust21–6-0.090%5 Sept →
mirage13–6-0.0219%3 Sept →
dust24–90.014%30 Aug →
dust29–13-0.0417%30 Aug →
dust216–130.0223%30 Aug →
inferno13–50.0429%30 Aug →
mirage13–30.1418%30 Aug →
nuke13–4-0.015%30 Aug →
mirage2–13-0.0424%30 Aug →
mirage15–150.0326%30 Aug →
cache13–30.0117%29 Aug →
nuke13–9-0.0117%29 Aug →
nuke13–40.1118%29 Aug →
dust211–130.0418%29 Aug →
mirage6–13-0.0513%29 Aug →
nuke13–80.0516%29 Aug →
ancient1–3-0.060%29 Aug →
mirage7–130.0112%29 Aug →
mirage2–13-0.0453%29 Aug →
inferno1–13-0.075%29 Aug →
ancient13–40.009%24 Aug →
cache1–130.0112%23 Aug →
overpass13–10.0816%23 Aug →
ancient8–13-0.0329%23 Aug →
inferno16–12-0.0413%22 Aug →
overpass13–90.0717%19 Aug →
mirage13–10-0.0120%19 Aug →
mirage9–130.0828%17 Aug →
anubis3–13-0.0313%17 Aug →
cache4–13-0.0220%16 Aug →
mirage12–12-0.0129%16 Aug →
mirage7–130.0717%12 Aug →
mirage2–90.0326%12 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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