天梯高手飞升DMA星球

天梯高手飞升DMA星球 — CS2 Stats

CN76561199073588353[U:1:1113322625]Steam profile ↗✓ No bans

819Tracked matches52%Win rate2021Tracked since
1,444Hours in CS
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating19,423Top 50% of 215,066 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#94881 of 261308 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Mar 2026 (229 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: 19,423 -2,589 17 Feb – 28 Mar · 28 days played
19,11122,660peak 22,66017 Feb28 Mar
22,660Peak Premier in tracked matches
37Days played since 2025-02-17

Premier CS Rating

  • 3,237 below peak (22,660)
  • Next: Pink band at 20,000 — 577 to go
  • Reached: Pink band · 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 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 rate47.2%48.2%50.9%3.8% short
Shot accuracy11.6%13.2%13.7%2.1% short
Kill/death ratio1.041.071.090.05 short
Match win rate48.4%46.9%48.4%meets

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

Widest gap: Shot accuracy. 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天梯高手飞升DMA星球FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,423 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning59
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLWWWWLWLWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −1.7pp headshot accuracy · +42ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 705ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 659ms

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 (+1.1 against its own average).

Aim5.6
Utility2.9
Positioning5.9
Opening Duels4.6
Clutch5.8

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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim 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

Reaction time. 647ms 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

Aim5.6
Positioning5.9
Utility2.9
Mechanics6.8
Opening Duels3.3
Win Impact5.6

Composite 5.2/10 (Developing), 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+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time652ms+35ms
first ⅓ avg 617ms → last ⅓ avg 652ms
Headshot accuracy19.1%+0.4%
first ⅓ avg 18.7% → last ⅓ avg 19.1%

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

0.33Best match rating · 13–1 · inferno, 18 Mar →
45%Best headshot accuracy · 13–5 · anubis, 5 Apr →
414msFastest reaction time · 10–13 · inferno, 20 Mar →
13–1Biggest win · dust2, 20 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 63% over 24anubisWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%0.03
dust2A2415–963%0.04
mirageC228–1436%0.01
ancientC135–838%0.01
anubisD133–1023%-0.00
overpass—10–10%-0.10
nuke—11–0100%-0.00
train—10–10%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,327Lifetime kills
1.04K/D
2,990Matches
48.4%Match win rate · Top 50% of Level 9 players
47.2%Headshot %
11.6%Shot accuracy
7,387MVPs
1,444Hours (in match)
2,929Bombs planted
833Bombs defused

Most-used weapons

Lifetime map wins

10,944dust2
9,569inferno
611nuke
604vertigo
172train
14ar_shoots
12lake
9office

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

Faceit stats

Combat

190Matches
58%Win rate
1.53Avg K/D
104.2ADR
51%Headshot %

Clutches & streaks

49%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5145%1.3519.8
Inferno3956%1.5620.9
Dust23577%1.7121.3
Ancient3364%1.6421.0
Anubis1963%1.5419.6
Vertigo850%1.4723.6
Nuke333%1.3224.7
Overpass250%1.5019.0

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.

18.6%Headshot accuracy
32.8%Accuracy (enemy spotted)
31.8%Spray accuracy
80.7%Counter-strafing
10.8°Preaim
647msReaction time
41.4%T opening success
44.6%CT opening success
0.54Enemies flashed / flash
4.7%Flash assists
8.69HE damage / grenade
4.08Flashes / match

Recommended for you

Spend your practice time on Anubis

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass4–13-0.1021%28 Mar →
mirage13–70.0919%28 Mar →
mirage13–5-0.0113%26 Mar →
dust213–90.0513%26 Mar →
ancient13–40.058%26 Mar →
anubis9–13-0.0113%26 Mar →
inferno16–130.0410%24 Mar →
mirage5–130.0325%24 Mar →
inferno13–50.0332%24 Mar →
mirage5–13-0.0419%22 Mar →
mirage13–100.0716%21 Mar →
mirage13–70.0919%21 Mar →
dust213–2-0.0414%10 Jun →
anubis7–130.0618%10 Jun →
mirage4–130.0133%10 Jun →
anubis5–13-0.0117%10 Jun →
dust211–130.0328%6 Jun →
ancient6–13-0.0115%6 Jun →
inferno13–100.0814%17 Apr →
ancient16–190.1114%9 Apr →
mirage11–13-0.058%7 Apr →
inferno13–9-0.0419%7 Apr →
ancient15–15-0.0122%5 Apr →
anubis13–50.0345%5 Apr →
inferno13–70.0122%5 Apr →
dust216–140.0116%31 Mar →
mirage8–13-0.0719%28 Mar →
inferno8–130.0227%28 Mar →
nuke13–9-0.0024%28 Mar →
dust213–16-0.0513%28 Mar →
dust211–130.0016%27 Mar →
dust213–90.1314%22 Mar →
mirage13–100.2127%22 Mar →
mirage13–110.1225%22 Mar →
inferno13–30.0922%21 Mar →
dust26–130.0130%21 Mar →
mirage4–13-0.1019%21 Mar →
dust213–10.2025%20 Mar →
dust26–130.1110%20 Mar →
mirage12–120.079%20 Mar →
inferno10–130.0921%20 Mar →
dust213–70.0620%19 Mar →
mirage5–13-0.0427%19 Mar →
train12–120.0624%19 Mar →
dust213–60.1418%18 Mar →
inferno13–10.3330%18 Mar →
mirage8–13-0.0115%18 Mar →
dust213–80.1321%18 Mar →
mirage13–110.0224%18 Mar →
ancient8–13-0.0015%18 Mar →
dust213–60.0018%18 Mar →
inferno4–13-0.0120%18 Mar →
dust25–13-0.0412%17 Mar →
ancient13–11-0.0716%17 Mar →
anubis13–7-0.0113%16 Mar →
dust213–90.0124%16 Mar →
inferno3–13-0.0212%16 Mar →
ancient11–130.0420%16 Mar →
inferno13–100.0714%15 Mar →
anubis14–16-0.0522%14 Mar →
inferno1–13-0.1210%14 Mar →
ancient11–130.0118%12 Mar →
dust213–100.0414%11 Mar →
anubis9–13-0.0014%10 Mar →
anubis10–130.0026%8 Mar →
inferno13–80.0718%8 Mar →
dust26–130.0116%8 Mar →
dust214–16-0.0316%7 Mar →
dust23–13-0.0419%7 Mar →
ancient16–12-0.0419%7 Mar →
anubis11–130.0123%3 Mar →
anubis10–130.0314%3 Mar →
ancient13–60.0221%3 Mar →
inferno8–13-0.0018%3 Mar →
inferno13–90.0723%3 Mar →
anubis10–130.0114%3 Mar →
dust213–50.0822%3 Mar →
anubis13–10-0.0236%2 Mar →
mirage4–13-0.0517%2 Mar →
mirage5–13-0.0919%2 Mar →
ancient15–15-0.0216%2 Mar →
inferno13–10.1217%28 Feb →
mirage6–13-0.0121%28 Feb →
dust213–9-0.0426%28 Feb →
inferno10–13-0.0015%27 Feb →
mirage15–150.0119%24 Feb →
inferno7–13-0.0218%24 Feb →
inferno1–13-0.0621%24 Feb →
dust213–80.0521%22 Feb →
mirage13–100.0919%22 Feb →
inferno13–10-0.0117%22 Feb →
inferno15–150.0024%20 Feb →
dust213–110.0718%20 Feb →
ancient4–130.0218%20 Feb →
inferno16–120.0415%19 Feb →
inferno1–100.0214%19 Feb →
anubis9–13-0.0324%19 Feb →
ancient13–11-0.0214%19 Feb →
mirage7–13-0.058%19 Feb →
inferno8–13-0.0011%17 Feb →

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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