shlonk

shlonk — CS2 Stats

MD76561199273749705[U:1:1313483977]Steam profile ↗✓ No bans

936Tracked matches39%Win rate2022Tracked since
981Hours in CS1Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,695 -700 18 Dec – 3 Jan · 9 days played
3,6955,610peak 5,61018 Dec3 Jan
6,395Peak Premier in tracked matches
30Days played since 2025-12-17

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 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate47.9%42.7%43.7%above
Shot accuracy9.6%11.3%12.0%2.4% short
Kill/death ratio0.760.991.020.26 short
Match win rate41.3%43.9%44.7%3.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGshlonkFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning32
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWLWWWLLWLW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · +9ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 733ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 737ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 732ms

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 (+1.4 against its own average).

Aim6.0
Utility2.4
Positioning3.2
Opening Duels0.7
Clutch1.0

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

sh1ro

Plays most like sh1ro 98% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower 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

Areas to improve

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

Reaction time. 762ms 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

Aim6.0
Positioning3.2
Utility2.4
Mechanics7.4
Opening Duels0.6
Win Impact1.4

Composite 4.1/10 (Developing), 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-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time756ms+38ms
first ⅓ avg 718ms → last ⅓ avg 756ms
Headshot accuracy24.1%−2.7%
first ⅓ avg 26.8% → last ⅓ avg 24.1%

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

0.12Best match rating · 5–13 · train, 3 Jan →
50%Best headshot accuracy · 5–13 · train, 3 Jan →
484msFastest reaction time · 3–13 · inferno, 20 Dec →
13–3Biggest win · mirage, 1 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

vertigoBest map · 67% over 6ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoD175–1229%-0.02
mirageB168–850%-0.02
nukeB158–753%-0.01
overpassA116–555%-0.01
dust2D93–633%-0.03
ancientD82–625%-0.02
anubisD62–433%-0.03
vertigoS64–267%-0.03
cacheC52–340%-0.05
rooftop—31–233%-0.04
train—21–150%0.09
cache_b—20–20%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,871Lifetime kills
0.76K/D
1,385Matches
41.3%Match win rate
47.9%Headshot % · Top 50% of Level 4 players
9.6%Shot accuracy
3,153MVPs
489Hours (in match)
833Bombs planted
383Bombs defused

Most-used weapons

Lifetime map wins

2,120inferno
2,011nuke
1,293vertigo
939dust2
741train
57cbble
19office
16lake

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

Faceit stats

Combat

14Matches
43%Win rate
0.73Avg K/D
64.6ADR
47%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.638.2
Anubis333%0.5912.0
Ancient367%0.8018.3
Inferno10%0.8218.0
Vertigo1100%1.4021.0
Nuke10%0.6312.0

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.

25.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
30.5%Spray accuracy
83.4%Counter-strafing
9.4°Preaim
762msReaction time
31.3%T opening success
33.8%CT opening success
0.33Enemies flashed / flash
2.0%Flash assists
6.49HE damage / grenade
5.10Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 762.1351ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.3341 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.3203% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–4-0.0314%2 Oct →
dust27–13-0.0024%2 Oct →
nuke9–30.0919%2 Oct →
mirage13–10-0.0225%15 Aug →
inferno13–7-0.0321%15 Aug →
anubis8–13-0.0529%14 Aug →
inferno3–9-0.159%6 Aug →
nuke16–13-0.0711%6 Aug →
nuke10–13-0.0130%6 Aug →
cache10–4-0.0142%6 Aug →
dust210–13-0.0629%5 Aug →
mirage5–13-0.105%25 Jul →
ancient5–13-0.0521%25 Jul →
ancient15–150.0333%22 Jul →
inferno4–9-0.1510%20 Jul →
cache15–150.0125%20 Jul →
nuke8–13-0.0311%20 Jul →
mirage6–13-0.0521%20 Jul →
dust213–110.0648%20 Jul →
cache9–13-0.0929%18 Jul →
mirage13–11-0.0428%18 Jul →
anubis6–13-0.0220%17 Jul →
anubis13–9-0.0424%17 Jul →
cache13–7-0.0738%17 Jul →
anubis8–13-0.0119%2 Jul →
dust213–10-0.0219%2 Jul →
inferno7–13-0.0618%1 Jul →
mirage10–13-0.0438%29 May →
cache11–13-0.1226%29 May →
vertigo9–13-0.0841%29 May →
nuke13–80.0214%28 May →
dust20–5-0.0533%3 Apr →
overpass1–13-0.0621%3 Apr →
dust25–13-0.110%21 Mar →
mirage13–5-0.0229%21 Mar →
nuke13–50.0929%21 Mar →
inferno1–13-0.0743%14 Mar →
ancient4–13-0.0423%3 Jan →
mirage8–130.0623%3 Jan →
nuke15–15-0.0933%3 Jan →
dust210–13-0.0128%3 Jan →
mirage7–130.0029%3 Jan →
train5–130.1250%3 Jan →
inferno6–130.0019%3 Jan →
nuke9–13-0.0622%3 Jan →
nuke13–160.000%2 Jan →
mirage13–9-0.0815%2 Jan →
overpass6–13-0.0527%2 Jan →
vertigo7–13-0.0718%2 Jan →
inferno10–13-0.0213%1 Jan →
mirage9–13-0.0019%1 Jan →
overpass13–90.0218%1 Jan →
inferno6–9-0.0810%1 Jan →
ancient13–9-0.0323%1 Jan →
mirage13–30.0420%1 Jan →
nuke13–30.0126%1 Jan →
nuke11–13-0.0527%1 Jan →
mirage13–4-0.0223%31 Dec →
ancient11–13-0.0328%31 Dec →
nuke13–11-0.0421%29 Dec →
inferno16–120.0527%29 Dec →
inferno5–90.1050%29 Dec →
overpass11–13-0.0721%29 Dec →
ancient7–13-0.0513%29 Dec →
dust213–11-0.0332%29 Dec →
overpass16–14-0.0141%29 Dec →
nuke13–50.0226%29 Dec →
overpass9–40.0722%28 Dec →
rooftop9–40.0532%28 Dec →
ancient16–130.0023%26 Dec →
overpass13–50.0222%26 Dec →
ancient7–13-0.0121%26 Dec →
inferno11–130.0128%26 Dec →
mirage13–40.0243%26 Dec →
rooftop7–9-0.0230%25 Dec →
overpass6–13-0.0227%24 Dec →
vertigo13–10-0.0132%24 Dec →
anubis3–13-0.0629%20 Dec →
dust27–13-0.0343%20 Dec →
overpass13–7-0.0020%20 Dec →
inferno3–130.0133%20 Dec →
cache_b8–13-0.0333%19 Dec →
nuke13–100.0428%19 Dec →
inferno13–10-0.0141%19 Dec →
inferno9–60.0833%19 Dec →
rooftop4–9-0.1435%19 Dec →
vertigo13–9-0.0215%19 Dec →
inferno7–9-0.0321%19 Dec →
overpass16–140.0417%19 Dec →
overpass5–13-0.0226%19 Dec →
inferno10–13-0.0228%19 Dec →
train13–60.0513%19 Dec →
mirage16–120.0025%18 Dec →
inferno9–60.0330%18 Dec →
mirage10–13-0.0412%18 Dec →
nuke4–9-0.0125%18 Dec →
cache_b10–13-0.0714%17 Dec →
vertigo13–100.0121%17 Dec →
vertigo13–80.0235%17 Dec →
mirage8–13-0.0725%17 Dec →

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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