Asian steppie

Asian steppie — CS2 Stats

SE76561199493374831[U:1:1533109103]Steam profile ↗✓ No bans

2,715Tracked matches52%Win rate2023Tracked since
4,980Hours in CS50Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating14,276Blue band · top ~32.2% of ranked players (population est.)
FaceitLevel 7 · 1,808 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−602Premier CS Rating · 14,878 → 14,276

Rating over time

Premier CS Rating: 14,276 -6,365 23 Aug – 25 Oct · 22 days played
13,87920,641peak 20,64123 Aug25 Oct
20,641Peak Premier in tracked matches
1,808Highest Faceit ELO seen on CSDB
36Days played since 2026-08-23

Faceit ELO

  • At peak — 1,808
  • Next: Level 10 at 2,001 — 193 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 6,365 below peak (20,641)
  • -798 over 30 days · declining
  • Next: Purple band at 15,000 — 724 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 7 among CSDB-tracked players (n=14,573), 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 7 medianLevel 8 medianvs Level 8
Headshot rate59.9%45.7%46.8%above
Shot accuracy1.8%12.7%13.0%11.2% short
Kill/death ratio1.581.051.06above
Match win rate42.5%45.7%46.3%3.8% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAsian steppieFACEITLevel 7 · 1,808 ELOSTANDINGTop 42.3% of rankedPREMIER14,276 · Blue bandPEAK ELO1,808csdb.gg/stats

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Performance scores

Aim86
Positioning64
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWLLWWWWLL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +0.6pp headshot accuracy · −48ms 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 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 606ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 614ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 638ms

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 against its own average).

Aim8.6
Utility5.9
Positioning6.4
Opening Duels5.1
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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 622ms 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

Aim8.6
Positioning6.4
Utility5.9
Mechanics7.8
Opening Duels6.7
Win Impact5.6

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time625ms−16ms
first ⅓ avg 641ms → last ⅓ avg 625ms
Headshot accuracy21.2%−1.6%
first ⅓ avg 22.7% → last ⅓ avg 21.2%

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

0.10Best match rating · 6–13 · dust2, 9 Sept →
41%Best headshot accuracy · 13–4 · ancient, 4 Sept →
461msFastest reaction time · 7–13 · inferno, 9 Sept →
13–1Biggest win · vertigo, 9 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
18Overtime games

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.00
infernoC198–1142%-0.00
nukeD154–1127%-0.01
anubisC125–742%-0.01
dust2A106–460%-0.01
cacheC104–640%-0.01
ancientS64–267%-0.01
vertigo—41–325%0.04
train—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,818Lifetime kills
1.58K/D · Top 5% of Level 7 players
4,400Matches
42.5%Match win rate
59.9%Headshot % · Top 10% of Level 7 players
1.8%Shot accuracy
11,880MVPs
1,679Hours (in match)
1,492Bombs planted
680Bombs defused

Most-used weapons

AK-4767,449
AWP7,358
MP91,807
MAC-101,603
FAMAS1,425
SSG 081,243

Lifetime map wins

6,832inferno
4,084nuke
2,721dust2
2,327vertigo
806train
205office
109cbble
33lake

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

Faceit stats

Combat

838Matches
50%Win rate
1.09Avg K/D
83.4ADR
49%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage22149%1.0817.3
Ancient12851%1.1617.9
Anubis12452%1.0718.5
Inferno11855%1.1217.4
Nuke9152%1.0917.2
Dust25048%1.0817.0
Cache4243%0.9216.0
Overpass2948%1.1217.7

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.

20.2%Headshot accuracy
41.7%Accuracy (enemy spotted)
44.3%Spray accuracy
85.1%Counter-strafing
9.5°Preaim
622msReaction time
52.2%T opening success
61.1%CT opening success
0.57Enemies flashed / flash
11.4%Flash assists
7.82HE damage / grenade
11.43Flashes / match

Recommended for you

Spend your practice time on Nuke

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0120%25 Oct →
anubis13–80.0225%25 Oct →
inferno11–130.0114%24 Oct →
ancient7–130.0122%24 Oct →
inferno13–80.0838%24 Oct →
mirage16–140.0628%24 Oct →
dust213–80.0120%24 Oct →
cache16–140.0918%24 Oct →
ancient6–130.0116%24 Oct →
mirage9–130.0019%23 Oct →
dust213–8-0.0421%23 Oct →
dust213–6-0.0012%23 Oct →
nuke9–13-0.0113%23 Oct →
dust213–70.0517%23 Oct →
mirage15–15-0.0513%19 Oct →
mirage8–13-0.0232%19 Oct →
inferno16–19-0.0327%18 Oct →
nuke9–13-0.0429%18 Oct →
dust24–13-0.0726%18 Oct →
nuke16–130.0623%18 Oct →
ancient16–13-0.0118%17 Oct →
anubis19–16-0.0313%15 Oct →
mirage13–20.0429%15 Oct →
nuke13–80.0124%14 Oct →
nuke2–130.0113%14 Oct →
mirage16–14-0.0715%7 Oct →
cache19–170.0315%6 Oct →
inferno4–9-0.2225%6 Oct →
cache5–13-0.0231%1 Oct →
anubis11–13-0.0414%1 Oct →
inferno11–13-0.0413%29 Sept →
mirage7–13-0.0226%27 Sept →
anubis16–13-0.0130%27 Sept →
inferno13–110.0220%27 Sept →
mirage13–16-0.0421%24 Sept →
inferno13–100.0820%23 Sept →
inferno13–110.0016%22 Sept →
nuke4–13-0.0924%20 Sept →
nuke1–13-0.0829%20 Sept →
inferno5–130.0222%20 Sept →
mirage13–40.0630%20 Sept →
mirage13–9-0.0019%19 Sept →
inferno8–13-0.0224%19 Sept →
inferno13–20.0129%19 Sept →
mirage13–20.1024%18 Sept →
nuke13–110.0019%18 Sept →
nuke10–13-0.0330%18 Sept →
nuke13–60.0126%16 Sept →
mirage9–130.0233%16 Sept →
dust213–10-0.0320%16 Sept →
mirage19–16-0.0120%15 Sept →
mirage13–50.0323%13 Sept →
mirage13–100.0125%13 Sept →
inferno13–6-0.0027%10 Sept →
inferno13–50.0029%10 Sept →
anubis15–150.0022%10 Sept →
anubis6–13-0.0321%10 Sept →
nuke9–13-0.0122%10 Sept →
anubis10–13-0.0414%9 Sept →
inferno5–13-0.0321%9 Sept →
inferno10–130.0221%9 Sept →
inferno7–130.0539%9 Sept →
vertigo13–10.0825%9 Sept →
dust26–130.1040%9 Sept →
mirage10–20.0331%9 Sept →
anubis8–13-0.029%8 Sept →
inferno9–13-0.0325%8 Sept →
ancient13–6-0.0419%5 Sept →
nuke9–130.0326%5 Sept →
anubis8–13-0.0716%5 Sept →
mirage13–16-0.0430%5 Sept →
ancient13–5-0.0028%5 Sept →
anubis6–13-0.0126%5 Sept →
vertigo10–130.0125%4 Sept →
dust26–13-0.0228%4 Sept →
mirage4–13-0.0713%4 Sept →
ancient13–4-0.0441%4 Sept →
mirage4–13-0.0219%4 Sept →
inferno8–13-0.0235%2 Sept →
cache8–13-0.089%2 Sept →
cache6–130.0130%2 Sept →
vertigo5–130.0027%2 Sept →
mirage13–11-0.0223%2 Sept →
cache13–60.0321%2 Sept →
mirage13–100.0512%2 Sept →
nuke14–160.0322%1 Sept →
dust213–5-0.0121%31 Aug →
nuke7–9-0.0114%31 Aug →
dust217–19-0.0316%29 Aug →
anubis10–30.0728%27 Aug →
cache5–13-0.0711%27 Aug →
cache13–9-0.0414%26 Aug →
cache14–160.0129%25 Aug →
train13–40.0128%25 Aug →
anubis13–90.0217%24 Aug →
mirage1–13-0.0613%24 Aug →
mirage8–13-0.0719%23 Aug →
cache15–19-0.0225%23 Aug →
vertigo8–80.0733%23 Aug →
inferno13–40.0933%23 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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