SkullCutter

SkullCutter — CS2 Stats

76561198845632586[U:1:885366858]Steam profile ↗✓ No bans

263Tracked matches45%Win rate2024Tracked since
CSDB Rating3.1 LearningPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim29
Positioning32
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY48439Last 10048%Win rateWWTLWLWLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · +46ms 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

  • 311 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 9%
  • Avg reaction 716ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 695ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 672ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim2.9
Utility2.4
Positioning3.2
Opening Duels0.0

Limited 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

NiKo

Plays most like NiKo 79% 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

Areas to improve

Reaction time. 676ms 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

Aim2.9
Positioning3.2
Utility2.4
Mechanics5.9
Opening Duels0.0
Win Impact3.3

Composite 3.1/10 (Learning), 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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time679ms−10ms
first ⅓ avg 689ms → last ⅓ avg 679ms
Headshot accuracy8.6%+2.1%
first ⅓ avg 6.6% → last ⅓ avg 8.6%

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

0.08Best match rating · 10–1 · nuke, 29 Jul
23%Best headshot accuracy · 7–13 · inferno, 24 Jul
430msFastest reaction time · 5–13 · italy, 23 Jul
13–1Biggest win · ancient, 16 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
84In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 83% over 6dust2Weakest map · 50% over 32
MapGradePlayedRecordWin rateAvg rating
dust2B32161650%-0.02
mirageA23131057%-0.05
infernoB189950%-0.04
nukeS65183%-0.01
anubis4040%-0.04
ancient42250%-0.05
train41325%-0.06
overpass41325%-0.05
vertigo31233%-0.05
italy1010%-0.07
office1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

8.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.9%Spray accuracy
76.6%Counter-strafing
12.6°Preaim
676msReaction time
23.3%T opening success
27.5%CT opening success
0.39Enemies flashed / flash
4.0%Flash assists
6.59HE damage / grenade
2.02Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6495° — above the 12° mark we flag

    Aim Training
  2. 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 8.5144% — below the 15% mark we flag

    Aim Training
  3. 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 0.3946 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0611%23 Jul
mirage13–2-0.096%23 Jul
mirage12–12-0.126%22 Jul
mirage8–13-0.0511%21 Jul
inferno13–6-0.0512%21 Jul
mirage5–13-0.046%21 Jul
mirage13–3-0.0415%13 Jul
nuke9–13-0.045%13 Jul
mirage3–13-0.0611%12 Jul
mirage13–8-0.0010%11 Jul
dust213–10-0.0218%11 Jul
inferno10–13-0.0113%11 Jul
mirage5–13-0.0316%9 Jul
dust27–13-0.015%9 Jul
inferno8–13-0.037%9 Jul
inferno13–11-0.0713%8 Jul
dust213–7-0.0413%8 Jul
dust213–60.019%5 Jul
mirage13–11-0.065%5 Jul
anubis14–16-0.0511%5 Jul
dust26–13-0.066%3 Jul
inferno13–11-0.029%2 Jul
vertigo2–13-0.120%2 Jul
mirage13–4-0.047%2 Jul
dust25–130.007%2 Jul
dust27–130.009%1 Jul
dust29–130.018%1 Jul
mirage13–11-0.080%29 Jun
mirage3–13-0.070%28 Jun
ancient5–13-0.082%28 Jun
ancient8–13-0.1113%14 Aug
train5–13-0.0911%14 Aug
mirage12–12-0.0411%14 Aug
inferno13–6-0.014%14 Aug
dust213–2-0.0110%14 Aug
anubis12–12-0.079%11 Aug
dust23–13-0.120%11 Aug
inferno4–13-0.1112%9 Aug
train7–13-0.055%9 Aug
dust213–4-0.026%9 Aug
overpass11–13-0.045%5 Aug
mirage13–8-0.063%5 Aug
nuke13–100.024%5 Aug
inferno13–11-0.047%4 Aug
inferno13–2-0.030%4 Aug
dust27–13-0.055%4 Aug
anubis12–12-0.022%1 Aug
mirage13–5-0.093%1 Aug
dust27–13-0.065%1 Aug
dust29–13-0.023%31 Jul
mirage13–30.058%30 Jul
nuke13–7-0.017%30 Jul
vertigo13–5-0.035%30 Jul
nuke10–10.0810%29 Jul
anubis7–13-0.017%29 Jul
dust213–6-0.057%29 Jul
inferno7–13-0.0011%29 Jul
dust213–7-0.016%29 Jul
vertigo12–12-0.005%28 Jul
dust213–60.034%28 Jul
train13–6-0.040%27 Jul
ancient13–11-0.043%24 Jul
mirage13–10-0.082%24 Jul
inferno7–13-0.0823%24 Jul
overpass13–5-0.063%24 Jul
mirage9–13-0.039%24 Jul
inferno13–11-0.040%23 Jul
italy5–13-0.0711%23 Jul
dust29–13-0.073%23 Jul
dust213–80.079%23 Jul
mirage13–7-0.007%23 Jul
dust211–13-0.0210%23 Jul
mirage13–6-0.0014%22 Jul
dust213–3-0.053%22 Jul
dust213–9-0.0111%21 Jul
nuke13–11-0.074%21 Jul
mirage12–12-0.043%21 Jul
office11–13-0.050%20 Jul
dust213–7-0.026%20 Jul
overpass12–12-0.084%20 Jul
nuke13–9-0.013%19 Jul
overpass12–12-0.015%19 Jul
inferno13–60.009%6 Jul
train3–13-0.064%6 Jul
inferno9–13-0.0210%6 Jul
dust213–100.015%6 Jul
dust24–13-0.068%5 Jul
dust213–70.0313%4 Jul
dust213–7-0.035%3 Jul
mirage11–5-0.0211%2 Jul
mirage9–13-0.077%26 Jun
inferno7–13-0.013%25 Jun
dust29–130.009%25 Jun
inferno5–13-0.067%24 Jun
dust212–12-0.0211%24 Jun
dust27–13-0.124%23 Jun
inferno4–13-0.092%23 Jun
dust213–80.019%19 Jun
dust25–130.003%17 Jun
ancient13–10.036%16 Jun

Match data via Leetify.

Recent teammates

Milestones

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