sh0oter

sh0oter — CS2 Stats

SE76561198322375241[U:1:362109513]Steam profile ↗✓ No bans

3,382Tracked matches71%Win rate2020Tracked since
11,005Hours in CS9Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
FaceitLevel 10 · 2,293 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate41.9%50.9%
Shot accuracy17.0%13.7%
Kill/death ratio1.121.09
Match win rate50.8%48.4%

Share this profile

CSDB.GGsh0oterFACEITLevel 10 · 2,293 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning65
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY63–32–5Last 10063%Win rateWLTLWLWWWT

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +1.4pp headshot accuracy · −12ms reaction

Win rate down 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 (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 31%
  • Avg reaction 438ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 24%
  • Avg reaction 495ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 24%
  • Avg reaction 501ms

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 (+1.3 against its own average).

Aim8.8
Utility4.5
Positioning6.5
Opening Duels5.8
Clutch4.0

Sharp aimerLimited utility dependence

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

donk

Plays most like donk 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8
Positioning6.5
Utility4.5
Mechanics6.2
Opening Duels5.9
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.06−0.01
first ⅓ avg 0.07 → last ⅓ avg 0.06
Reaction time514ms−96ms
first ⅓ avg 610ms → last ⅓ avg 514ms
Headshot accuracy20.9%−2.3%
first ⅓ avg 23.2% → last ⅓ avg 20.9%

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

0.27Best match rating · 13–3 · mirage, 14 Oct →
60%Best headshot accuracy · 10–0 · mirage, 24 Oct →
359msFastest reaction time · 2–13 · anubis, 13 Aug →
13–1Biggest win · ancient, 8 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 100% over 7anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2112–957%0.08
ancientS1914–574%0.06
anubisC166–1038%-0.00
infernoS1210–283%0.06
nukeS96–367%0.04
overpassA95–456%0.06
dust2S77–0100%-0.01
cache—31–233%0.03
train—20–20%0.01
vertigo—22–0100%0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

286,682Lifetime kills
1.12K/D · Top 50% of Level 10 players
11,396Matches
50.8%Match win rate · Top 50% of Level 10 players
41.9%Headshot %
17.0%Shot accuracy · Top 25% of Level 10 players
41,191MVPs
5,709Hours (in match)
8,363Bombs planted
4,992Bombs defused

Most-used weapons

AK-47105,682
AWP33,392
Knife8,422
P2505,596
SSG 085,130
MP95,081

Lifetime map wins

13,859inferno
12,190vertigo
6,927dust2
5,237nuke
2,613train
1,532cbble
404lake
235safehouse

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

Faceit stats

Combat

1,846Matches
53%Win rate
1.17Avg K/D
86.5ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient23455%1.2317.9
Anubis22757%1.1317.0
Mirage10642%1.1716.5
Inferno10643%1.1917.1
Dust26951%1.1116.4
Vertigo6957%1.2619.6
Nuke5347%1.1316.6
Overpass3043%1.2718.7

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.

20.8%Headshot accuracy
40.0%Accuracy (enemy spotted)
42.0%Spray accuracy
77.9%Counter-strafing
8.3°Preaim
520msReaction time
59.6%T opening success
47.8%CT opening success
0.48Enemies flashed / flash
10.0%Flash assists
9.36HE damage / grenade
3.70Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4775 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.1420%29 Oct →
cache7–130.0623%29 Oct →
inferno12–120.0325%29 Oct →
ancient6–130.0025%29 Oct →
mirage10–00.1360%24 Oct →
nuke11–130.1111%24 Oct →
mirage13–40.1223%17 Oct →
overpass13–90.1015%17 Oct →
mirage13–30.2017%17 Oct →
inferno12–120.0525%15 Oct →
mirage13–60.2428%15 Oct →
mirage13–30.2729%14 Oct →
dust213–90.0524%13 Oct →
mirage13–60.0524%6 Oct →
dust213–100.0215%6 Oct →
cache7–13-0.0717%31 Aug →
anubis4–13-0.0633%24 Aug →
inferno13–70.1122%13 Aug →
anubis2–13-0.1027%13 Aug →
ancient13–100.0712%13 Aug →
nuke13–90.0119%10 Aug →
cache13–50.1019%10 Aug →
nuke13–80.0616%25 Jul →
ancient13–60.0415%30 Jun →
ancient13–80.1019%27 Jun →
mirage13–40.0823%27 Jun →
ancient13–30.1013%26 Jun →
dust213–60.0124%25 Jun →
nuke6–13-0.0015%19 Jun →
anubis8–13-0.0115%15 Jun →
dust213–7-0.0611%14 Jun →
anubis11–130.0212%13 Jun →
inferno13–60.0714%12 Jun →
anubis1–130.0723%11 Jun →
dust213–6-0.0122%9 Jun →
anubis13–90.0713%9 Jun →
dust213–6-0.0213%8 Jun →
ancient9–130.0111%7 Jun →
ancient13–110.0312%5 Jun →
overpass9–13-0.0111%24 May →
dust216–13-0.0311%16 May →
nuke13–2-0.0317%15 May →
inferno19–17-0.0113%15 May →
anubis10–13-0.0524%13 May →
overpass13–160.0011%8 May →
anubis7–13-0.0414%2 May →
ancient9–130.0217%27 Apr →
ancient13–90.0220%19 Apr →
anubis9–13-0.0526%19 Apr →
anubis13–90.0416%16 Apr →
ancient16–130.019%16 Apr →
anubis11–13-0.023%15 Apr →
anubis13–80.029%11 Apr →
ancient13–100.0415%9 Apr →
nuke18–220.0020%7 Apr →
anubis13–80.1217%6 Apr →
anubis13–3-0.0516%3 Apr →
inferno25–210.0211%3 Apr →
mirage9–130.0121%3 Apr →
overpass9–130.1512%31 Mar →
inferno16–120.0515%30 Mar →
ancient13–40.1124%28 Mar →
ancient13–80.0121%21 Mar →
anubis10–130.0319%15 Mar →
mirage5–13-0.024%15 Mar →
overpass13–70.0226%19 Feb →
mirage13–100.0613%8 Jan →
train11–13-0.0127%4 Jan →
overpass13–11-0.028%10 Dec →
mirage10–13-0.0225%3 Dec →
mirage12–120.0136%21 Aug →
overpass12–120.0319%16 Aug →
mirage13–80.0329%10 Aug →
nuke13–40.0329%10 Aug →
mirage7–130.0811%7 Aug →
mirage13–90.0931%7 Aug →
ancient11–130.1929%5 Aug →
mirage12–120.1524%1 Aug →
ancient13–110.0731%1 Aug →
overpass13–80.0913%1 Aug →
mirage1–80.1028%18 Jul →
inferno13–80.0529%12 Jul →
nuke13–70.1239%8 Jul →
ancient13–10.2125%8 Jul →
train4–130.0317%7 Jul →
nuke13–100.068%7 Jul →
ancient13–100.188%3 Jul →
overpass13–20.2020%30 Jun →
vertigo13–20.2637%28 Jun →
inferno13–80.1817%27 Jun →
mirage7–130.0929%27 Jun →
ancient9–130.0331%27 Jun →
anubis13–10-0.0211%20 Jan →
inferno13–8-0.0319%14 Jan →
inferno13–110.0810%13 Jan →
vertigo13–7-0.017%26 Dec →
mirage1–13-0.0711%20 Dec →
ancient13–10-0.0328%20 Dec →
inferno13–30.0839%8 Dec →
mirage13–50.0241%7 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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