s_pAn

s_pAn — CS2 Stats

76561198006168589[U:1:45902861]Steam profile ↗✓ No bans

851Tracked matches57%Win rate2020Tracked since
2,556Hours in CS17Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating27,039Top 5% of 211,827 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#6161 of 258844 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (4 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: 27,039 +5,609 4 Jul – 26 Oct · 23 days played
21,43027,113peak 27,1134 Jul26 Oct
Faceit ELO: 1,664 +0 4 Sept – 20 Sept · 2 observations
1,6641,664peak 1,6644 Sept20 Sept
27,423Peak Premier in tracked matches
1,664Highest Faceit ELO seen on CSDB
33Days played since 2026-07-04

Premier CS Rating

  • 74 below peak (27,113)
  • -32 over 30 days · steady
  • +4,210 over 90 days
  • Next: Gold band at 30,000 — 2,961 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-20
  • Pink band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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 rate55.9%46.8%48.2%above
Shot accuracy18.4%13.0%13.2%above
Kill/death ratio0.991.061.070.08 short
Match win rate38.2%46.3%46.9%8.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win 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.GGs_pAnFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER27,039 · Red bandPEAK ELO1,664csdb.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

Aim80
Positioning52
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLLWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −2.0pp headshot accuracy · +9ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 540ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • 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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.0
Utility5.3
Positioning5.2
Opening Duels1.7
Clutch3.6

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 98% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

CSDB Rating breakdown

Aim8.0
Positioning5.2
Utility5.3
Mechanics6.6
Opening Duels3.6
Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time543ms−30ms
first ⅓ avg 573ms → last ⅓ avg 543ms
Headshot accuracy18.9%−2.3%
first ⅓ avg 21.3% → last ⅓ avg 18.9%

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

0.20Best match rating · 13–9 · dust2, 17 Jul →
57%Best headshot accuracy · 1–9 · inferno, 4 Sept →
406msFastest reaction time · 8–8 · inferno, 20 Aug →
13–1Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
8–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 68% over 38infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S3826–1268%0.02
ancientB2110–1148%0.01
infernoC125–742%-0.04
anubisB115–645%0.00
nukeC94–544%0.03
cacheC73–443%0.02
mirage—21–150%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,487Lifetime kills
0.99K/D
3,838Matches
38.2%Match win rate
55.9%Headshot % · Top 25% of Level 8 players
18.4%Shot accuracy · Top 10% of Level 8 players
8,668MVPs
1,521Hours (in match)
2,776Bombs planted
583Bombs defused

Most-used weapons

AK-4725,291
AWP7,152
SSG 084,583
FAMAS2,964
P902,797

Lifetime map wins

17,344dust2
1,868inferno
1,614nuke
431train
177cbble
86vertigo
47dust
37bank

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

Faceit stats

Combat

194Matches
57%Win rate
1.28Avg K/D
84.9ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22861%1.4118.9
Ancient2454%1.1417.7
Anubis2241%0.9915.4
Inferno1362%1.0516.1
Nuke838%1.1920.3
Vertigo333%0.9417.7
Cache10%0.7213.0
Train1100%1.1120.0

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.

19.1%Headshot accuracy
37.3%Accuracy (enemy spotted)
35.1%Spray accuracy
79.9%Counter-strafing
8.7°Preaim
541msReaction time
51.8%T opening success
37.2%CT opening success
0.54Enemies flashed / flash
4.6%Flash assists
9.95HE damage / grenade
10.22Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.1536% — below the 40% mark we flag

Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0326%26 Oct →
cache4–13-0.0410%26 Oct →
cache13–110.1815%26 Oct →
ancient17–190.0023%18 Oct →
anubis10–13-0.038%16 Oct →
inferno13–10.0815%16 Oct →
inferno13–100.0017%16 Oct →
dust216–130.0221%16 Oct →
nuke13–90.0313%11 Oct →
ancient13–80.1622%10 Oct →
inferno13–10-0.0619%9 Oct →
nuke7–13-0.0123%9 Oct →
inferno5–13-0.0219%9 Oct →
ancient7–13-0.0315%8 Oct →
dust213–30.1329%27 Sept →
dust214–160.0120%27 Sept →
dust20–9-0.0212%27 Sept →
ancient13–110.1117%25 Sept →
dust213–80.0519%25 Sept →
mirage8–13-0.0720%25 Sept →
mirage13–20.0113%25 Sept →
inferno8–8-0.0414%25 Sept →
ancient14–16-0.0714%24 Sept →
dust213–11-0.0516%24 Sept →
dust213–9-0.0025%22 Sept →
dust213–7-0.0219%22 Sept →
dust213–110.0421%22 Sept →
ancient9–130.0420%21 Sept →
nuke13–100.0822%20 Sept →
anubis14–16-0.0424%20 Sept →
dust213–70.0234%20 Sept →
inferno13–5-0.0720%20 Sept →
dust213–90.0423%19 Sept →
ancient13–90.0617%19 Sept →
ancient13–80.0317%19 Sept →
anubis16–120.0210%6 Sept →
dust213–5-0.0330%6 Sept →
dust213–30.0619%6 Sept →
ancient13–100.0418%6 Sept →
cache6–130.0117%6 Sept →
ancient13–80.0428%6 Sept →
dust213–80.1028%5 Sept →
dust27–13-0.0231%4 Sept →
anubis10–130.0318%4 Sept →
anubis7–13-0.0424%4 Sept →
ancient13–16-0.0621%4 Sept →
anubis13–50.0826%4 Sept →
inferno1–9-0.2057%4 Sept →
dust213–4-0.0715%23 Aug →
cache8–13-0.0526%23 Aug →
ancient6–13-0.0317%23 Aug →
dust22–13-0.0320%23 Aug →
dust213–60.1133%23 Aug →
dust216–140.0117%22 Aug →
nuke10–13-0.0116%22 Aug →
nuke6–13-0.0314%22 Aug →
cache6–13-0.0518%22 Aug →
dust28–13-0.0621%20 Aug →
dust216–140.0123%20 Aug →
inferno8–8-0.0827%20 Aug →
ancient13–40.0012%18 Aug →
cache13–20.1120%18 Aug →
cache13–8-0.0522%18 Aug →
dust27–13-0.0717%15 Aug →
dust213–7-0.0117%15 Aug →
dust26–130.0421%5 Aug →
dust29–130.0226%5 Aug →
dust213–20.0245%3 Aug →
ancient13–50.0228%3 Aug →
ancient13–90.0113%3 Aug →
nuke8–13-0.0319%26 Jul →
ancient4–13-0.0514%26 Jul →
anubis10–130.0026%26 Jul →
nuke13–10.1530%26 Jul →
anubis5–13-0.0410%26 Jul →
inferno7–13-0.0218%24 Jul →
dust213–5-0.0115%24 Jul →
dust28–130.0222%22 Jul →
dust213–60.0223%22 Jul →
dust213–50.0527%22 Jul →
anubis13–80.0415%22 Jul →
dust213–90.2028%17 Jul →
dust213–100.0723%17 Jul →
ancient8–13-0.0021%17 Jul →
ancient8–13-0.0415%14 Jul →
inferno13–110.0323%14 Jul →
nuke3–10.129%14 Jul →
anubis13–90.0220%12 Jul →
inferno1–13-0.0715%12 Jul →
dust213–70.0617%12 Jul →
dust29–13-0.0222%12 Jul →
dust25–13-0.0231%7 Jul →
dust213–9-0.0423%7 Jul →
dust212–120.0518%7 Jul →
anubis13–9-0.0118%5 Jul →
dust213–80.0628%5 Jul →
nuke4–13-0.0224%5 Jul →
ancient3–13-0.0627%4 Jul →
ancient10–130.0215%4 Jul →
ancient13–60.0420%4 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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