Scoocher — CS2 Stats

76561198109844288[U:1:149578560]

215Tracked matches36%Win rate2020Tracked since
1,232Hours in CS11Hrs last 2 wks
CSDB Rating3.7 Learning
WingmanSilver Elite
Ladder ranks via Leetify

Performance scores

Aim59
Positioning42
Utility25

0–100 skill scores via Leetify.

Recent form

COLD39538Last 10039%Win rateLLLLLWLWLT

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.9
Aggression3.8
Utility2.5
Positioning4.2
Opening Duels0.0

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 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 561ms 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

Aim5.9
Positioning4.2
Utility2.5
Mechanics4.7
Opening Duels0.2
Win Impact0.2

Composite 3.7/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time565ms+17ms
first ⅓ avg 549ms → last ⅓ avg 565ms
Headshot accuracy9.7%−5.2%
first ⅓ avg 14.9% → last ⅓ avg 9.7%

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

0.11Best rating — office 13–4
132Biggest win — office
6Longest win streak
L5Current streak
72In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 53% over 15infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
officeC56223439%-0.02
dust2B158753%-0.04
infernoD62433%-0.06
nukeC52340%-0.01
poseidon41325%-0.10
mirage32167%-0.00
vertigo2020%-0.07
cache2020%-0.05
debris21150%-0.04
ancient1010%-0.08
anubis1010%-0.07
italy110100%0.01
eldorado1010%-0.02
train1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,371Lifetime kills
1.07K/D · Top 50% of tracked players
1,956Matches
44.7%Match win rate
37.1%Headshot %
18.5%Shot accuracy · Top 10% of tracked players
3,511MVPs
650Hours (in match)
1,606Bombs planted
286Bombs defused

Most-used weapons

Lifetime map wins

8,065dust2
4,518office
735inferno
518nuke
275lake
273vertigo
94train
41safehouse

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

Skill profile

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

9.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
40.4%Spray accuracy
71.1%Counter-strafing
8.7°Preaim
561msReaction time
31.3%T opening success
21.3%CT opening success
0.32Enemies flashed / flash
1.8%Flash assists
11.97HE damage / grenade
0.39Flashes / 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 9.7069% — below the 15% 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 0.3155 — 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 31.3302% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office5–13-0.047%21 Aug
office10–13-0.008%21 Aug
office10–13-0.054%18 Aug
office8–13-0.0210%18 Aug
office9–130.0510%17 Aug
dust213–90.0523%17 Aug
nuke5–13-0.030%17 Aug
dust213–10-0.032%17 Aug
ancient5–13-0.087%15 Aug
nuke12–12-0.034%15 Aug
office3–13-0.064%15 Aug
anubis6–13-0.0716%15 Aug
office13–110.0114%15 Aug
dust25–13-0.0321%15 Aug
office7–13-0.064%15 Aug
office5–13-0.079%12 Aug
mirage13–7-0.018%12 Aug
office13–7-0.016%12 Aug
dust22–7-0.070%11 Aug
office13–10-0.0312%11 Aug
inferno7–13-0.0630%11 Aug
office13–10-0.0519%10 Aug
office12–12-0.049%10 Aug
office13–60.027%8 Aug
office1–13-0.0414%8 Aug
office8–130.0215%3 Aug
office13–10-0.0211%30 Jul
office4–13-0.070%30 Jul
office13–5-0.000%30 Jul
vertigo8–13-0.1010%30 Jul
vertigo6–13-0.046%30 Jul
cache2–13-0.0412%29 Jul
office13–9-0.0722%27 Jul
office13–40.1115%27 Jul
office13–8-0.0325%26 Jul
nuke13–110.0316%26 Jul
mirage8–13-0.0929%26 Jul
dust23–13-0.0513%26 Jul
dust213–8-0.0816%24 Jul
office13–110.0321%20 Jul
office13–110.0117%20 Jul
italy13–90.0115%18 Jul
office13–80.053%18 Jul
mirage13–50.0927%18 Jul
poseidon1–9-0.1829%17 Jul
poseidon3–9-0.1413%17 Jul
office6–13-0.0818%17 Jul
office12–12-0.0515%17 Jul
dust213–6-0.0213%17 Jul
office2–13-0.0526%11 Jul
office12–12-0.0216%11 Jul
poseidon2–9-0.1321%11 Jul
poseidon9–30.0824%11 Jul
debris3–9-0.1014%11 Jul
inferno9–6-0.1014%10 Jul
debris9–70.0214%10 Jul
eldorado2–9-0.0240%10 Jul
cache6–13-0.0619%10 Jul
nuke13–9-0.016%10 Jul
office13–8-0.073%10 Jul
office1–6-0.0743%9 Jul
office5–13-0.0760%9 Jul
office11–130.0128%2 Jul
dust26–13-0.100%24 Jun
dust213–80.0013%24 Jun
office9–13-0.049%23 Jun
dust213–9-0.0924%16 Sept
office2–130.0523%15 Sept
office13–8-0.0317%15 Sept
inferno0–7-0.006%7 Sept
dust27–13-0.020%7 Sept
office1–13-0.1311%5 Sept
office10–13-0.0114%5 Sept
office7–13-0.099%3 Sept
office13–5-0.0410%31 Aug
office13–90.0310%30 Aug
office0–6-0.0320%29 Aug
office10–130.0624%26 Aug
office13–110.0329%26 Aug
office13–20.0411%25 Aug
office3–13-0.0125%25 Aug
office11–13-0.0524%23 Aug
office12–120.0818%19 Aug
train4–13-0.040%18 Aug
inferno8–13-0.053%18 Aug
dust25–13-0.0612%17 Aug
office10–13-0.045%17 Aug
office13–6-0.0214%17 Aug
office13–50.037%16 Aug
office13–8-0.055%16 Aug
office12–12-0.063%9 Aug
inferno8–8-0.1619%9 Aug
nuke5–13-0.0322%8 Aug
dust213–11-0.0012%8 Aug
inferno13–10-0.0113%8 Aug
dust28–13-0.1224%5 Aug
dust213–6-0.0214%4 Aug
office5–13-0.1130%1 Aug
office3–13-0.0337%16 Mar
office12–12-0.0322%5 Mar

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 →