Stan0

Stan0 — CS2 Stats

BR76561199132869418[U:1:1172603690]Steam profile ↗✓ No bans

1,582Tracked matches70%Win rate2023Tracked since
5,881Hours in CS70Hrs last 2 wks
CSDB Rating7.8 StrongPositional Player
Premier CS Rating22,118Top 50% of 212,695 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#54724 of 259442 tracked
FaceitLevel 9 · 1,402 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (2 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: 22,118 +1,128 13 Oct – 31 Oct · 10 days played
20,00023,067peak 23,06713 Oct31 Oct
23,067Peak Premier in tracked matches
1,402Highest Faceit ELO seen on CSDB
41Days played since 2026-07-24

Faceit ELO

  • At peak — 1,402
  • Next: Level 8 at 1,531 — 129 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 949 below peak (23,067)
  • Next: Red band at 25,000 — 2,882 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 rate55.4%48.2%50.9%above
Shot accuracy3.4%13.2%13.7%10.3% short
Kill/death ratio0.861.071.090.23 short
Match win rate49.0%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 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.GGStan0FACEITLevel 9 · 1,402 ELOSTANDINGTop 20.7% of rankedPREMIER22,118 · Pink bandPEAK ELO1,402csdb.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

Aim87
Positioning64
Utility59

0–100 skill scores via Leetify.

Recent form

HOT54–46Last 10054%Win rateWLWLWWWLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.7pp headshot accuracy · −28ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 32%
  • Avg reaction 587ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 575ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 31%
  • Avg reaction 589ms

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).

Aim8.7
Utility5.9
Positioning6.4
Opening Duels4.1
Clutch3.0

Sharp aimer

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: positioning profile, 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 87 — the mechanical foundation is a clear strength.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 584ms 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

Aim8.7
Positioning6.4
Utility5.9
Mechanics8.2
Opening Duels6.0
Win Impact10.0

Composite 7.8/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time583ms−35ms
first ⅓ avg 618ms → last ⅓ avg 583ms
Headshot accuracy29.2%−1.9%
first ⅓ avg 31.0% → last ⅓ avg 29.2%

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

0.14Best match rating · 9–2 · eldorado, 18 Oct →
75%Best headshot accuracy · 4–13 · cache, 26 Aug →
367msFastest reaction time · 3–13 · nuke, 14 Oct →
13–0Biggest win · ancient, 25 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 69% over 26cacheWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2816–1257%-0.02
dust2S2618–869%-0.02
cacheD122–1017%-0.02
ancientB105–550%0.02
infernoD93–633%-0.02
anubis—44–0100%0.01
nuke—43–175%0.00
eldorado—21–150%-0.02
vertigo—20–20%-0.02
debris—11–0100%0.05
poseidon—10–10%-0.13
train—11–0100%0.10

Across the last 100 tracked matches.

Lifetime stats

81,341Lifetime kills
0.86K/D
4,480Matches
49.0%Match win rate · Top 50% of Level 9 players
55.4%Headshot % · Top 25% of Level 9 players
3.4%Shot accuracy
9,934MVPs
2,044Hours (in match)
4,542Bombs planted
1,545Bombs defused

Most-used weapons

AK-4728,980
AWP5,902
Knife2,515
MP92,081
MAC-101,076

Lifetime map wins

9,149dust2
3,367inferno
2,046nuke
1,888vertigo
573train
469cbble
39office
14italy

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

Faceit stats

Combat

728Matches
52%Win rate
0.97Avg K/D
74.5ADR
61%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage23154%1.0015.0
Dust217053%0.9814.9
Ancient8961%1.0115.7
Anubis8358%0.9815.2
Inferno5840%0.9014.0
Nuke3951%0.9414.1
Cache2133%0.8513.7
Overpass1735%0.8515.2

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.

29.3%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.8%Spray accuracy
87.0%Counter-strafing
9.2°Preaim
584msReaction time
60.9%T opening success
46.7%CT opening success
0.56Enemies flashed / flash
10.9%Flash assists
6.48HE damage / grenade
11.61Flashes / match

Recommended for you

Spend your practice time on Cache

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–3-0.0425%31 Oct →
cache7–13-0.0529%31 Oct →
anubis13–90.0329%31 Oct →
mirage6–13-0.0725%31 Oct →
inferno13–50.0652%30 Oct →
anubis13–50.0128%30 Oct →
mirage13–40.0929%30 Oct →
ancient3–130.0037%30 Oct →
cache13–60.0317%30 Oct →
dust213–100.0124%30 Oct →
anubis13–11-0.0227%30 Oct →
mirage13–90.0336%30 Oct →
dust211–13-0.0441%29 Oct →
mirage13–40.0226%29 Oct →
dust213–11-0.0120%28 Oct →
dust213–60.0126%28 Oct →
dust213–10-0.0033%28 Oct →
mirage8–13-0.0054%28 Oct →
cache13–8-0.0331%28 Oct →
mirage7–13-0.0637%28 Oct →
dust213–100.0830%28 Oct →
mirage13–8-0.0223%26 Oct →
mirage7–130.0030%24 Oct →
mirage13–16-0.0914%24 Oct →
mirage10–13-0.0024%23 Oct →
dust213–5-0.0615%19 Oct →
mirage13–11-0.0523%19 Oct →
nuke13–70.0043%19 Oct →
ancient13–20.0229%19 Oct →
mirage13–50.0333%19 Oct →
eldorado3–9-0.1830%18 Oct →
eldorado9–20.1427%18 Oct →
debris9–60.0518%18 Oct →
poseidon2–9-0.1325%18 Oct →
vertigo6–13-0.0743%18 Oct →
mirage13–60.0331%18 Oct →
dust29–13-0.0917%18 Oct →
dust25–13-0.0928%18 Oct →
nuke13–20.0143%18 Oct →
dust213–80.0044%18 Oct →
ancient13–70.0323%18 Oct →
cache13–16-0.0319%17 Oct →
nuke13–20.0845%17 Oct →
ancient13–70.0024%17 Oct →
inferno10–13-0.0244%16 Oct →
nuke3–13-0.0922%14 Oct →
inferno10–13-0.0717%13 Oct →
dust29–130.0136%13 Oct →
inferno6–13-0.0638%13 Oct →
dust213–8-0.0234%13 Oct →
mirage11–13-0.0323%30 Sept →
cache5–13-0.0136%28 Sept →
ancient11–130.0228%28 Sept →
dust213–5-0.0327%28 Sept →
mirage8–13-0.0628%27 Sept →
cache14–16-0.0224%27 Sept →
dust213–10-0.0723%27 Sept →
ancient19–160.0125%22 Sept →
dust213–11-0.0520%21 Sept →
dust213–90.0334%21 Sept →
vertigo10–130.0245%20 Sept →
mirage13–8-0.0633%14 Sept →
cache11–13-0.0016%11 Sept →
dust213–5-0.0029%9 Sept →
mirage13–1-0.0232%6 Sept →
ancient3–13-0.0330%5 Sept →
mirage13–16-0.1026%4 Sept →
ancient9–13-0.0038%3 Sept →
mirage13–90.0021%30 Aug →
inferno13–100.0127%28 Aug →
mirage10–13-0.0436%28 Aug →
dust213–100.0350%27 Aug →
cache9–130.0227%27 Aug →
mirage5–13-0.0522%27 Aug →
dust213–90.0556%27 Aug →
cache4–13-0.0275%26 Aug →
ancient13–00.0922%25 Aug →
ancient9–130.0740%20 Aug →
mirage13–00.0514%15 Aug →
inferno10–130.0044%9 Aug →
dust211–13-0.0232%8 Aug →
dust29–13-0.0536%8 Aug →
mirage22–180.0327%4 Aug →
cache8–13-0.0531%4 Aug →
dust24–13-0.0629%4 Aug →
mirage13–7-0.0033%29 Jul →
dust213–100.0020%29 Jul →
dust27–13-0.0343%28 Jul →
mirage13–8-0.0328%28 Jul →
dust213–11-0.0615%28 Jul →
cache7–13-0.0020%28 Jul →
anubis13–80.0123%28 Jul →
cache8–13-0.0534%28 Jul →
mirage19–15-0.0331%28 Jul →
mirage0–3-0.060%27 Jul →
train9–10.1033%25 Jul →
inferno2–13-0.0726%25 Jul →
dust213–11-0.0436%25 Jul →
inferno10–13-0.0325%24 Jul →
mirage13–50.0528%24 Jul →

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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