skeletor

skeletor — CS2 Stats

FJ76561198195075429[U:1:234809701]Steam profile ↗✓ No bans

1,088Tracked matches45%Win rate2020Tracked since
CSDB Rating5.9 SolidAll-Rounder
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 1,088
+3.4ppWin rate · 41.4% → 44.8%

Rating over time

49Days played since 2026-06-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

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

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Performance scores

Aim71
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

HOT37–57–6Last 10037%Win rateWLWWWLWWWL

Last 10 vs previous 10: +50pp win rate · −0.01 avg rating · +2.1pp headshot accuracy · −58ms reaction

Win rate up 50pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 697ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 682ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 711ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.1
Utility5.2
Positioning5.6
Opening Duels4.4

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

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 704ms 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

Aim7.1
Positioning5.6
Utility5.2
Mechanics7.1
Opening Duels4.9
Win Impact3.3

Composite 5.9/10 (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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time689ms−21ms
first ⅓ avg 710ms → last ⅓ avg 689ms
Headshot accuracy20.4%−1.1%
first ⅓ avg 21.5% → last ⅓ avg 20.4%

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

0.26Best match rating · 13–4 · dust2, 31 Jul →
58%Best headshot accuracy · 8–1 · dust2, 2 Jun →
516msFastest reaction time · 8–8 · inferno, 28 Aug →
13–3Biggest win · dust2, 15 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–8In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 80% over 5cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C6725–4237%0.02
nukeD103–730%0.01
cacheD72–529%0.02
mirageS54–180%-0.00
overpass—30–30%-0.05
inferno—30–30%0.01
train—20–20%0.01
shelter—11–0100%0.14
vertigo—11–0100%-0.00
ancient—11–0100%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1Matches
0%Win rate
0.91Avg K/D
—ADR
45%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

20.6%Headshot accuracy
39.2%Accuracy (enemy spotted)
40.2%Spray accuracy
81.9%Counter-strafing
10.4°Preaim
704msReaction time
49.6%T opening success
49.7%CT opening success
0.70Enemies flashed / flash
7.4%Flash assists
7.48HE damage / grenade
9.74Flashes / 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 703.8802ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–100.0126%18 Sept →
overpass6–13-0.0716%16 Sept →
dust213–100.0418%16 Sept →
dust213–7-0.0218%15 Sept →
dust213–9-0.0435%15 Sept →
nuke2–13-0.0124%15 Sept →
shelter13–70.1418%10 Sept →
dust213–60.1220%10 Sept →
nuke13–9-0.0019%7 Sept →
overpass11–13-0.0115%7 Sept →
dust26–130.0825%6 Sept →
inferno4–13-0.0315%6 Sept →
mirage13–40.0421%6 Sept →
dust27–130.0221%6 Sept →
dust213–110.0722%5 Sept →
dust29–13-0.0111%5 Sept →
dust212–120.0619%4 Sept →
dust27–130.0320%4 Sept →
dust22–130.0714%1 Sept →
dust24–13-0.0423%1 Sept →
nuke6–130.0713%31 Aug →
dust213–100.0121%31 Aug →
dust24–00.0225%31 Aug →
dust27–3-0.0119%30 Aug →
dust29–13-0.0124%30 Aug →
dust27–130.0834%30 Aug →
nuke4–13-0.0021%28 Aug →
inferno8–80.058%28 Aug →
train11–130.0515%22 Aug →
cache2–13-0.0113%22 Aug →
nuke13–70.0535%20 Aug →
dust213–7-0.0022%18 Aug →
dust213–90.0624%17 Aug →
nuke13–90.0221%16 Aug →
dust28–13-0.0116%16 Aug →
dust21–130.0126%15 Aug →
dust213–3-0.0228%15 Aug →
dust26–13-0.0427%15 Aug →
dust213–110.0922%13 Aug →
dust211–130.0116%11 Aug →
dust25–130.0233%7 Aug →
dust211–130.0823%7 Aug →
nuke8–13-0.0525%5 Aug →
dust28–13-0.0519%5 Aug →
dust25–13-0.0311%2 Aug →
dust213–90.0625%2 Aug →
dust213–8-0.0511%1 Aug →
dust28–13-0.0526%31 Jul →
dust213–40.2638%31 Jul →
train5–13-0.0225%30 Jul →
dust25–130.0118%30 Jul →
vertigo13–6-0.0021%30 Jul →
ancient13–60.0132%30 Jul →
inferno8–80.0025%30 Jul →
cache13–100.0937%29 Jul →
nuke10–130.0330%28 Jul →
dust28–13-0.0132%27 Jul →
dust28–13-0.0814%27 Jul →
cache11–130.0118%16 Jul →
dust29–13-0.0516%16 Jul →
dust25–13-0.0431%7 Jul →
dust211–130.0725%7 Jul →
dust24–13-0.0717%6 Jul →
dust213–3-0.0126%3 Jul →
nuke3–13-0.0229%3 Jul →
dust213–80.0332%3 Jul →
dust213–30.0428%3 Jul →
dust27–130.0825%2 Jul →
dust27–13-0.047%1 Jul →
dust213–60.0225%1 Jul →
dust28–13-0.0725%25 Jun →
mirage10–13-0.072%24 Jun →
dust212–12-0.0114%24 Jun →
nuke12–12-0.0122%22 Jun →
dust213–90.1011%22 Jun →
dust28–13-0.0129%21 Jun →
dust21–120.0221%21 Jun →
cache12–120.0311%21 Jun →
dust213–50.0120%21 Jun →
dust213–110.0418%17 Jun →
dust29–130.0723%17 Jun →
dust21–13-0.0229%16 Jun →
dust28–13-0.0721%16 Jun →
cache11–130.0113%14 Jun →
dust26–13-0.0314%14 Jun →
mirage13–10-0.017%12 Jun →
dust26–13-0.0326%12 Jun →
dust211–130.0420%11 Jun →
dust29–130.0030%10 Jun →
dust26–13-0.0322%8 Jun →
cache5–13-0.0226%8 Jun →
dust24–12-0.0426%5 Jun →
dust25–130.0422%5 Jun →
dust213–70.0929%5 Jun →
mirage13–80.0733%3 Jun →
overpass1–13-0.0923%3 Jun →
dust210–130.0014%3 Jun →
mirage13–3-0.0619%2 Jun →
dust28–10.1758%2 Jun →
cache13–100.0128%2 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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