shoeler

shoeler — CS2 Stats

US76561197990967328[U:1:30701600]Steam profile ↗✓ No bans

5,641Tracked matches76%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
Premier CS Rating25,113Top 25% of 213,399 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#20411 of 260031 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 25,113 +1,150 29 Oct – 4 Nov · 3 days played
23,96325,113peak 25,11329 Oct4 Nov
25,113Peak Premier in tracked matches
30Days played since 2026-08-11

Premier CS Rating

  • At peak — 25,113
  • Next: Gold band at 30,000 — 4,887 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGshoelerFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER25,113 · Red bandcsdb.gg/stats

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Performance scores

Aim68
Positioning64
Utility68

0–100 skill scores via Leetify.

Recent form

HOT64–29–7Last 10064%Win rateWWWWWWWLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.3pp headshot accuracy · −8ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 532ms

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 (+2.3 against its own average).

Aim6.8
Utility6.8
Positioning6.4
Opening Duels2.4
Clutch2.4

Effective flashes

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 77% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

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

Aim6.8
Positioning6.4
Utility6.8
Mechanics6.2
Opening Duels3.8
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time577ms+51ms
first ⅓ avg 526ms → last ⅓ avg 577ms
Headshot accuracy14.7%−0.6%
first ⅓ avg 15.3% → last ⅓ avg 14.7%

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 · 13–8 · train, 27 Aug →
40%Best headshot accuracy · 7–3 · ancient, 21 Aug →
352msFastest reaction time · 13–7 · inferno, 4 Nov →
13–0Biggest win · mirage, 2 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
6–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 100% over 6trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA169–756%-0.01
cacheA138–562%-0.02
infernoB137–654%0.03
dust2A138–562%-0.02
nukeS86–275%0.01
anubisA74–357%0.02
ancientS75–271%0.01
vertigoS66–0100%0.02
overpassS65–183%0.00
trainC52–340%0.03
office—32–167%-0.01
poseidon—22–0100%0.06
debris—10–10%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

1,499Matches
53%Win rate
1.18Avg K/D
82.3ADR
37%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis12858%1.2518.3
Mirage11754%1.2918.8
Ancient6453%1.2218.2
Dust26250%1.1817.9
Nuke2450%1.1017.3
Vertigo2343%1.1318.4
Inferno1963%1.0014.3
Train1856%1.1616.1

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$9,631Inventory value530ItemsFull inventory breakdown →
★ M9 Bayonet | Gamma Doppler (Factory New)$1,883★ Specialist Gloves | Emerald Web (Field-Tested)$1,815★ Butterfly Knife | Black Laminate (Minimal Wear)$910Desert Eagle | Emerald Jörmungandr (Factory New)$754M4A1-S | Blue Phosphor (Factory New)$750AK-47 | Case Hardened (Minimal Wear)$376

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.1%Spray accuracy
77.8%Counter-strafing
9.1°Preaim
531msReaction time
50.0%T opening success
40.6%CT opening success
0.88Enemies flashed / flash
8.6%Flash assists
8.60HE damage / grenade
11.08Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.575% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0116%4 Nov →
mirage13–30.0816%4 Nov →
cache13–100.019%4 Nov →
inferno13–11-0.0119%4 Nov →
train13–30.0614%4 Nov →
cache13–7-0.0219%4 Nov →
inferno13–70.0312%4 Nov →
cache9–13-0.0113%4 Nov →
anubis8–13-0.0218%3 Nov →
dust213–7-0.0419%3 Nov →
ancient13–10-0.0111%3 Nov →
dust213–70.0210%3 Nov →
cache13–8-0.0612%1 Nov →
nuke13–50.0211%1 Nov →
mirage13–9-0.0516%1 Nov →
dust25–13-0.0321%29 Oct →
mirage5–13-0.0216%29 Oct →
ancient13–110.0321%29 Oct →
anubis13–50.1214%29 Oct →
mirage13–90.0520%29 Oct →
inferno11–13-0.0020%28 Oct →
mirage2–13-0.042%28 Oct →
dust213–10-0.0312%19 Oct →
vertigo13–10.072%19 Oct →
inferno9–50.0011%17 Oct →
inferno9–30.1235%17 Oct →
poseidon9–00.1120%17 Oct →
debris8–8-0.0910%17 Oct →
inferno7–9-0.0619%17 Oct →
nuke9–10.146%17 Oct →
mirage12–120.0115%10 Oct →
vertigo13–10.0515%10 Oct →
inferno13–20.0512%10 Oct →
dust214–16-0.0611%10 Oct →
inferno4–90.1321%10 Oct →
nuke9–7-0.0614%10 Oct →
inferno9–20.1433%10 Oct →
poseidon9–50.0118%10 Oct →
cache13–3-0.0417%2 Oct →
mirage13–0-0.0217%2 Oct →
dust213–9-0.049%30 Sept →
train8–13-0.0219%30 Sept →
office13–10-0.0414%26 Sept →
mirage4–13-0.0312%24 Sept →
cache13–80.0121%23 Sept →
cache8–130.0114%23 Sept →
cache13–2-0.0511%21 Sept →
mirage13–80.0419%20 Sept →
mirage13–60.0120%19 Sept →
overpass13–60.0115%19 Sept →
anubis13–10.0410%19 Sept →
anubis11–130.0222%19 Sept →
overpass13–50.0323%12 Sept →
ancient6–13-0.0118%12 Sept →
train12–12-0.0511%12 Sept →
dust213–100.0217%12 Sept →
mirage13–100.0013%12 Sept →
nuke13–60.0815%12 Sept →
anubis0–13-0.0413%12 Sept →
cache13–8-0.0017%12 Sept →
inferno7–13-0.0820%12 Sept →
dust211–13-0.0711%12 Sept →
cache13–50.0514%11 Sept →
nuke11–13-0.0522%7 Sept →
vertigo13–90.0216%7 Sept →
overpass11–13-0.0413%7 Sept →
train12–120.0219%7 Sept →
overpass13–11-0.0110%7 Sept →
mirage2–13-0.1312%7 Sept →
dust213–60.0410%7 Sept →
office12–12-0.0620%2 Sept →
office13–110.0516%2 Sept →
cache6–13-0.0117%2 Sept →
dust29–13-0.0421%2 Sept →
overpass13–4-0.0210%2 Sept →
train13–80.1414%27 Aug →
dust210–13-0.0214%27 Aug →
anubis13–9-0.0213%22 Aug →
ancient7–3-0.0040%21 Aug →
inferno13–20.0916%21 Aug →
dust213–40.0415%21 Aug →
cache9–13-0.089%21 Aug →
vertigo13–10-0.0316%21 Aug →
nuke13–50.0319%21 Aug →
mirage11–13-0.0115%21 Aug →
vertigo13–7-0.0210%20 Aug →
anubis13–30.0421%20 Aug →
ancient13–100.0320%20 Aug →
cache1–11-0.0627%20 Aug →
mirage2–13-0.0317%19 Aug →
nuke6–13-0.0612%17 Aug →
mirage13–90.0214%16 Aug →
inferno12–12-0.0116%16 Aug →
vertigo13–50.0520%16 Aug →
mirage13–11-0.0114%15 Aug →
inferno9–130.004%15 Aug →
ancient6–10.019%15 Aug →
dust213–6-0.0212%12 Aug →
ancient12–120.0113%11 Aug →
overpass13–10.048%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.