Sc0tty_ — CS2 Stats

76561198105512783[U:1:145247055]✓ No bans

3,199Tracked matches40%Win rate2020Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
FaceitLevel 8 · 1,804 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGSc0tty_FACEITLevel 8 · 1,804 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning47
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY4951Last 10049%Win rateWLWLLLLLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression4.5
Utility6.5
Positioning4.7
Opening Duels0.3
Clutch2.8

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim6.7
Positioning4.7
Utility6.5
Mechanics7.6
Opening Duels1.4
Win Impact1.7

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time618ms+19ms
first ⅓ avg 599ms → last ⅓ avg 618ms
Headshot accuracy15.2%−2.1%
first ⅓ avg 17.3% → last ⅓ avg 15.2%

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.

Highlights

0.09Best rating — dust2 11–2
130Biggest win — cache
9Longest win streak
1013In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 67% over 21cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC32122038%-0.03
infernoS2114767%-0.03
dust2A159660%-0.03
ancientC146843%-0.02
anubisA95456%0.01
cacheD72529%-0.02
nuke21150%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

5,660Matches
49%Win rate
0.90Avg K/D
71.7ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage63250%0.9414.3
Dust235648%0.8813.7
Ancient33349%0.9414.3
Anubis32952%0.9814.5
Inferno32350%0.9314.3
Train5153%1.0416.2
Overpass4558%1.0114.4
Nuke4141%0.9414.3

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.

14.5%Headshot accuracy
36.0%Accuracy (enemy spotted)
41.6%Spray accuracy
84.4%Counter-strafing
11.4°Preaim
608msReaction time
21.2%T opening success
41.3%CT opening success
0.71Enemies flashed / flash
8.5%Flash assists
11.24HE damage / grenade
10.82Flashes / 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 14.4641% — below the 15% mark we flag

    Aim Training
  2. 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 21.2043% — below the 40% mark we flag

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
anubis13–50.0514%29 Aug
nuke14–16-0.0813%23 Aug
inferno13–10-0.0113%23 Aug
dust211–13-0.0123%23 Aug
mirage11–13-0.003%23 Aug
inferno10–13-0.1011%23 Aug
mirage8–13-0.125%23 Aug
inferno3–13-0.0527%22 Aug
cache13–00.0717%22 Aug
mirage13–6-0.0315%22 Aug
cache14–16-0.0620%22 Aug
inferno13–8-0.0218%21 Aug
ancient9–13-0.0212%21 Aug
mirage13–10-0.0419%19 Aug
anubis5–13-0.0713%19 Aug
anubis13–100.0715%19 Aug
inferno10–13-0.0114%19 Aug
ancient11–13-0.0114%19 Aug
mirage16–120.0014%19 Aug
ancient10–13-0.026%19 Aug
ancient10–130.0315%18 Aug
mirage10–13-0.0615%18 Aug
cache11–13-0.0216%18 Aug
cache8–130.0318%18 Aug
inferno13–6-0.0423%16 Aug
cache14–16-0.066%14 Aug
mirage3–13-0.0521%14 Aug
inferno13–50.0113%14 Aug
inferno13–5-0.073%14 Aug
mirage13–20.0529%14 Aug
inferno13–16-0.0426%9 Aug
cache13–11-0.0624%31 Jul
dust219–22-0.086%29 Jul
mirage12–16-0.0213%29 Jul
anubis13–16-0.006%19 Jul
cache17–19-0.0513%19 Jul
anubis7–13-0.0114%19 Jul
dust29–13-0.097%14 Jul
ancient13–11-0.0513%12 Jul
ancient13–9-0.0215%12 Jul
mirage11–13-0.0816%7 Jul
dust213–6-0.0317%7 Jul
ancient10–13-0.036%5 Jul
dust210–13-0.0610%5 Jul
inferno17–19-0.0712%30 Jun
inferno13–9-0.038%30 Jun
dust211–20.0919%28 Jun
inferno13–40.0024%28 Jun
mirage6–13-0.1117%28 Jun
mirage9–13-0.084%28 Jun
dust213–7-0.0313%28 Jun
mirage13–11-0.0711%26 Jun
ancient13–2-0.025%26 Jun
dust213–5-0.0429%26 Jun
mirage13–4-0.058%23 Jun
dust213–11-0.065%23 Jun
dust213–9-0.0433%21 Jun
mirage13–11-0.0115%21 Jun
inferno13–8-0.0227%21 Jun
mirage5–13-0.0223%21 Jun
inferno6–13-0.0715%21 Jun
mirage8–130.0315%20 Jun
inferno13–40.019%10 Jun
anubis13–10-0.0214%5 Jun
mirage9–13-0.067%19 May
mirage2–130.0119%10 May
inferno13–50.053%10 May
mirage13–9-0.026%8 May
inferno14–160.0117%5 May
dust29–130.0113%24 Apr
mirage8–13-0.0217%24 Apr
ancient5–13-0.056%24 Apr
mirage4–13-0.0621%24 Apr
inferno13–10-0.0513%21 Apr
mirage13–7-0.0215%18 Apr
ancient8–13-0.036%17 Apr
mirage2–130.0023%17 Apr
ancient13–100.0218%15 Apr
dust213–110.0524%13 Apr
mirage6–13-0.0615%12 Apr
dust21–13-0.1121%9 Apr
inferno13–100.0121%8 Apr
mirage12–160.0116%8 Apr
inferno16–140.0229%7 Apr
mirage17–19-0.0119%7 Apr
ancient7–13-0.0428%6 Apr
ancient13–1-0.0111%3 Apr
ancient16–14-0.0115%29 Mar
mirage11–130.0135%29 Mar
mirage13–9-0.0320%22 Mar
dust213–11-0.0424%22 Mar
inferno13–7-0.0621%17 Mar
mirage16–140.0317%12 Mar
anubis16–130.0515%11 Mar
anubis13–60.0114%11 Mar
dust213–10-0.0613%10 Mar
mirage13–10.035%10 Mar
mirage7–13-0.0618%10 Mar
anubis7–130.0121%1 Mar
nuke13–70.0115%27 Feb

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 →