Shooky — CS2 Stats

76561198271763901[U:1:311498173]✓ No bans

252Tracked matches52%Win rate2023Tracked since
311Hours in CS
CSDB Rating5.2 Developing
Ladder ranks via Leetify

Performance scores

Aim48
Positioning59
Utility53

0–100 skill scores via Leetify.

Recent form

COLD50446Last 10050%Win rateTLTLLLLWWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim4.8
Aggression6.3
Utility5.3
Positioning5.9
Opening Duels2.1

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 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim4.8
Positioning5.9
Utility5.3
Mechanics6.8
Opening Duels2.2
Win Impact5.7

Composite 5.2/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time638ms−19ms
first ⅓ avg 657ms → last ⅓ avg 638ms
Headshot accuracy13.6%−4.7%
first ⅓ avg 18.4% → last ⅓ avg 13.6%

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.

Highlights

0.10Best rating — train 13–3
130Biggest win — inferno
7Longest win streak
94In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 60% over 10dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB27131448%-0.00
ancientB26121446%-0.02
trainA1710759%0.01
anubisA106460%-0.01
dust2D82625%-0.03
infernoB63350%-0.00
overpassA53260%-0.01
mirage110100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,047Lifetime kills
1.79K/D · Top 5% of tracked players
1,039Matches
52.8%Match win rate · Top 10% of tracked players
59.1%Headshot % · Top 10% of tracked players
13.4%Shot accuracy · Top 50% of tracked players
2,515MVPs
311Hours (in match)
555Bombs planted
118Bombs defused

Most-used weapons

Lifetime map wins

1,261dust2
1,016nuke
537inferno
406train
342vertigo
97office
25cbble
16italy

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.

13.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.2%Spray accuracy
80.8%Counter-strafing
12.1°Preaim
634msReaction time
29.4%T opening success
47.4%CT opening success
0.51Enemies flashed / flash
4.2%Flash assists
6.86HE damage / grenade
4.08Flashes / 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 12.0937° — 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 13.176% — below the 15% mark we flag

    Aim Training
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient15–150.0310%3 Aug
nuke6–130.0117%3 Aug
train15–15-0.046%3 Aug
ancient5–13-0.0221%1 Aug
train2–13-0.0518%30 Jul
inferno7–130.0724%27 Jul
nuke13–16-0.039%27 Jul
ancient16–12-0.0112%25 Jul
ancient13–8-0.017%19 Jul
overpass4–13-0.0118%19 Jul
ancient13–80.029%19 Jul
nuke15–15-0.0312%19 Jul
ancient15–150.0213%19 Jul
nuke11–13-0.0312%19 Jul
overpass4–13-0.0415%19 Jul
nuke14–16-0.0216%18 Jul
train13–90.0715%18 Jul
train13–50.067%18 Jul
overpass16–12-0.0216%18 Jul
nuke13–70.0314%17 Jul
overpass16–13-0.0212%17 Jul
ancient10–13-0.006%17 Jul
overpass13–90.0214%16 Jul
nuke13–70.0221%14 Jul
nuke13–70.0113%14 Jul
ancient15–15-0.0116%13 Jul
nuke10–13-0.0618%12 Jul
ancient13–40.0511%12 Jul
nuke10–130.0114%12 Jul
train13–50.033%12 Jul
anubis13–110.0117%12 Jul
nuke5–13-0.0211%12 Jul
anubis13–100.0420%11 Jul
nuke13–8-0.0018%11 Jul
anubis7–13-0.0615%11 Jul
nuke6–13-0.0323%11 Jul
nuke13–10.1024%9 Jul
ancient16–13-0.0111%9 Jul
ancient13–8-0.0118%5 Jul
train13–90.0214%5 Jul
dust28–13-0.0419%5 Jul
nuke3–13-0.0333%5 Jul
ancient9–13-0.0414%4 Jul
anubis13–7-0.0116%4 Jul
nuke13–9-0.0218%4 Jul
ancient13–40.0213%4 Jul
ancient13–11-0.0416%4 Jul
nuke9–13-0.0321%3 Jul
nuke11–13-0.0017%3 Jul
train9–13-0.0413%3 Jul
mirage7–00.0517%3 Jul
dust27–13-0.0220%3 Jul
ancient13–11-0.0614%1 Jul
ancient2–13-0.106%30 Jun
ancient6–13-0.0615%29 Jun
train13–70.0031%28 Jun
nuke13–3-0.0114%28 Jun
anubis9–13-0.0214%28 Jun
anubis13–40.0211%28 Jun
train13–70.0110%27 Jun
ancient5–13-0.0319%27 Jun
anubis13–60.0515%27 Jun
train13–60.0625%25 Jun
nuke13–90.0017%25 Jun
train9–130.0026%25 Jun
dust29–13-0.0324%24 Jun
dust28–13-0.0525%24 Jun
train5–13-0.0811%24 Jun
inferno13–10-0.0233%23 Jun
ancient6–13-0.0411%22 Jun
dust27–13-0.0542%22 Jun
anubis6–13-0.0423%22 Jun
ancient13–90.009%21 Jun
nuke16–14-0.0112%21 Jun
nuke13–30.0316%20 Jun
train13–60.0529%20 Jun
anubis13–110.0124%20 Jun
nuke16–120.0014%19 Jun
train13–11-0.0315%19 Jun
nuke11–13-0.0211%19 Jun
anubis7–13-0.0716%19 Jun
inferno16–140.0315%19 Jun
nuke13–80.0112%18 Jun
dust213–40.0231%18 Jun
ancient13–30.0324%18 Jun
inferno9–13-0.0222%18 Jun
train1–9-0.0330%17 Jun
nuke13–70.0312%17 Jun
nuke3–13-0.0321%15 Jun
ancient13–11-0.0119%15 Jun
inferno13–0-0.0626%15 Jun
train13–30.1019%15 Jun
inferno9–13-0.0217%15 Jun
ancient5–13-0.0514%15 Jun
ancient4–13-0.0418%15 Jun
dust210–13-0.0713%15 Jun
train15–15-0.0211%15 Jun
ancient7–13-0.0718%14 Jun
ancient9–13-0.068%14 Jun
dust216–140.0212%14 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 →