Stan

Stan — CS2 Stats

GB76561197962037265[U:1:1771537]Steam profile ↗✓ No bans

807Tracked matches47%Win rate2023Tracked since
2,269Hours in CS
CSDB Rating6.0 SolidSupport
Premier CS Rating18,285Purple band · top ~15.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (33 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: 18,285 -1,284 5 Aug – 2 Oct · 13 days played
18,28519,811peak 19,8115 Aug2 Oct
19,811Peak Premier in tracked matches
37Days played since 2026-07-27

Premier CS Rating

  • 1,526 below peak (19,811)
  • -1,526 over 30 days · declining
  • Next: Pink band at 20,000 — 1,715 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.5%46.8%48.2%2.7% short
Shot accuracy16.5%13.0%13.2%above
Kill/death ratio1.271.061.07above
Match win rate52.9%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStanFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,285 · 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

Aim69
Positioning63
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWLLWWLWWWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · −54ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 455ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 499ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim6.9
Utility6.7
Positioning6.3
Opening Duels2.9
Clutch2.6

Strong 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

iM

Plays most like iM 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9
Positioning6.3
Utility6.7
Mechanics5.2
Opening Duels5.3
Win Impact3.9

Composite 6.0/10 (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 rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time545ms−8ms
first ⅓ avg 553ms → last ⅓ avg 545ms
Headshot accuracy20.5%+0.1%
first ⅓ avg 20.5% → last ⅓ avg 20.5%

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

0.09Best match rating · 13–4 · nuke, 26 Sept →
37%Best headshot accuracy · 13–10 · nuke, 6 Aug →
344msFastest reaction time · 7–13 · inferno, 17 Aug →
13–0Biggest win · ancient, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 62% over 34anubisWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA3421–1362%-0.02
ancientA2112–957%-0.00
anubisC176–1135%-0.02
nukeC177–1041%-0.01
cacheC52–340%-0.01
vertigo—21–150%-0.01
mirage—20–20%-0.04
dust2—20–20%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,110Lifetime kills
1.27K/D · Top 25% of Level 8 players
4,343Matches
52.9%Match win rate · Top 10% of Level 8 players
45.5%Headshot %
16.5%Shot accuracy · Top 25% of Level 8 players
12,996MVPs
2,269Hours (in match)
6,074Bombs planted
1,478Bombs defused

Most-used weapons

Lifetime map wins

11,157inferno
8,665dust2
5,478nuke
2,493train
2,033cbble
1,109vertigo
124office
102assault

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

Faceit stats

Combat

501Matches
53%Win rate
1.18Avg K/D
72.9ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno6761%1.0214.7
Ancient5143%0.8413.9
Nuke3546%0.9915.4
Anubis3142%0.9516.0
Cache1323%0.9513.3
Mirage825%0.6511.5
Dust2540%1.0213.2
Overpass333%0.8312.3

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.

21.0%Headshot accuracy
37.7%Accuracy (enemy spotted)
36.2%Spray accuracy
73.6%Counter-strafing
12.4°Preaim
543msReaction time
51.4%T opening success
50.6%CT opening success
0.55Enemies flashed / flash
6.4%Flash assists
11.95HE damage / grenade
10.94Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.404° — above the 12° mark we flag

    Aim Training →
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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient19–170.0219%15 Oct →
anubis12–16-0.0419%15 Oct →
inferno11–13-0.1212%15 Oct →
inferno13–2-0.1118%11 Oct →
ancient13–60.0820%11 Oct →
anubis5–13-0.0418%2 Oct →
anubis13–6-0.0126%2 Oct →
inferno13–100.0521%2 Oct →
inferno13–11-0.0024%2 Oct →
nuke10–13-0.0830%26 Sept →
inferno13–50.0622%26 Sept →
ancient5–13-0.0528%26 Sept →
nuke13–40.0918%26 Sept →
inferno13–10-0.0219%22 Sept →
nuke13–16-0.0119%22 Sept →
ancient10–130.0118%22 Sept →
anubis8–13-0.0530%21 Sept →
anubis11–13-0.0517%21 Sept →
nuke13–20.0624%21 Sept →
inferno11–13-0.0228%19 Sept →
ancient13–7-0.0020%19 Sept →
ancient13–90.0131%18 Sept →
ancient13–7-0.0017%18 Sept →
inferno9–13-0.007%15 Sept →
ancient11–13-0.0222%15 Sept →
inferno7–10-0.0611%10 Sept →
nuke7–13-0.0323%10 Sept →
anubis13–9-0.0117%7 Sept →
nuke11–13-0.0536%5 Sept →
anubis13–16-0.0516%28 Aug →
inferno13–6-0.017%28 Aug →
ancient13–110.0327%28 Aug →
nuke19–22-0.0313%28 Aug →
inferno13–20.0517%27 Aug →
inferno13–70.0414%27 Aug →
anubis8–130.0321%26 Aug →
ancient5–130.0418%26 Aug →
nuke13–50.013%25 Aug →
anubis13–16-0.0414%25 Aug →
inferno13–90.0226%25 Aug →
vertigo13–80.0332%24 Aug →
inferno11–130.0113%24 Aug →
ancient13–6-0.0519%23 Aug →
anubis13–10-0.0211%23 Aug →
inferno13–6-0.0226%22 Aug →
inferno13–90.0219%22 Aug →
inferno4–13-0.067%21 Aug →
ancient13–5-0.0111%21 Aug →
anubis13–80.0225%21 Aug →
ancient13–100.0219%21 Aug →
nuke6–13-0.0915%20 Aug →
nuke13–90.0128%20 Aug →
anubis16–140.0728%19 Aug →
ancient8–130.0121%19 Aug →
ancient13–10-0.0213%19 Aug →
inferno13–10-0.0123%18 Aug →
nuke13–40.0114%18 Aug →
ancient13–00.0014%18 Aug →
inferno13–40.0829%17 Aug →
inferno7–13-0.0119%17 Aug →
inferno13–9-0.059%17 Aug →
anubis11–130.0117%15 Aug →
cache11–13-0.0715%13 Aug →
nuke0–13-0.0812%13 Aug →
vertigo4–13-0.0429%13 Aug →
anubis11–13-0.0415%13 Aug →
cache8–13-0.0814%13 Aug →
inferno13–3-0.0121%11 Aug →
ancient6–13-0.0528%11 Aug →
ancient5–13-0.0923%11 Aug →
mirage14–16-0.0114%9 Aug →
dust24–130.0121%9 Aug →
inferno10–13-0.0417%7 Aug →
anubis13–80.0315%7 Aug →
nuke16–19-0.0219%7 Aug →
nuke13–10-0.0137%6 Aug →
inferno8–13-0.0921%6 Aug →
inferno13–11-0.0128%6 Aug →
anubis9–13-0.0223%6 Aug →
cache13–90.0424%5 Aug →
ancient7–13-0.0414%5 Aug →
cache13–100.0332%5 Aug →
inferno13–40.0019%5 Aug →
nuke13–90.0215%4 Aug →
inferno13–10-0.0016%4 Aug →
nuke10–13-0.0316%4 Aug →
ancient10–130.0313%3 Aug →
inferno13–6-0.0419%2 Aug →
ancient13–7-0.0015%2 Aug →
nuke9–13-0.0215%2 Aug →
mirage1–13-0.0727%2 Aug →
dust210–13-0.1014%1 Aug →
inferno12–16-0.0521%1 Aug →
anubis10–13-0.0815%1 Aug →
inferno13–10-0.0423%1 Aug →
inferno10–13-0.0620%29 Jul →
inferno8–1-0.0833%29 Jul →
inferno5–13-0.0717%29 Jul →
cache15–150.0417%29 Jul →
inferno10–13-0.0320%27 Jul →

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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