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spunky fingers — CS2 Stats

76561197988021994[U:1:27756266]

798Tracked matches55%Win rate2021Tracked since
CSDB Rating5.5 Solid
Ladder ranks via Leetify

Performance scores

Aim56
Positioning50
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWLLWWLLL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim5.6
Aggression5.3
Utility6.9
Positioning5.0
Opening Duels2.2

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: opening-fight frequency, utility contribution.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 595ms 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

Aim5.6
Positioning5.0
Utility6.9
Mechanics5.9
Opening Duels2.2
Win Impact6.7

Composite 5.5/10 (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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time598ms−12ms
first ⅓ avg 610ms → last ⅓ avg 598ms
Headshot accuracy13.2%+1.1%
first ⅓ avg 12.2% → last ⅓ avg 13.2%

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

0.15Best rating — cache 13–7
13–2Biggest win — ancient
7Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 60% over 20infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%0.02
dust2B189–950%0.02
cacheA1710–759%0.03
infernoD153–1220%0.01
ancientB158–753%0.00
mirageC94–544%0.02
anubis—22–0100%0.06
overpass—21–150%0.06
vertigo—10–10%-0.04
office—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno 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.

13.0%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.3%Spray accuracy
76.7%Counter-strafing
12.0°Preaim
595msReaction time
37.3%T opening success
40.4%CT opening success
0.76Enemies flashed / flash
6.1%Flash assists
10.07HE damage / grenade
10.60Flashes / 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 12.0247° — 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 12.9604% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.049%30 Aug →
ancient13–11-0.0019%30 Aug →
dust213–80.0517%30 Aug →
ancient11–13-0.0216%30 Aug →
mirage4–13-0.0224%30 Aug →
mirage13–70.1111%26 Jul →
nuke13–90.098%26 Jul →
mirage5–13-0.0118%26 Jul →
cache8–130.0512%18 Jul →
inferno5–130.0211%18 Jul →
inferno13–10-0.016%11 Jul →
mirage13–100.028%11 Jul →
cache13–90.0215%11 Jul →
cache13–7-0.0016%11 Jul →
cache13–60.0521%11 Jul →
dust213–110.058%11 Jul →
cache13–4-0.0212%5 Jul →
dust29–13-0.1014%5 Jul →
dust211–130.0417%5 Jul →
cache11–130.017%5 Jul →
inferno10–130.0214%5 Jul →
cache2–13-0.0312%5 Jul →
cache13–60.0110%4 Jul →
ancient13–110.0422%4 Jul →
ancient16–13-0.0110%4 Jul →
inferno10–13-0.0114%4 Jul →
nuke13–110.0611%4 Jul →
ancient12–120.1014%4 Jul →
inferno8–130.018%4 Jul →
nuke13–100.0111%4 Jul →
dust211–130.0123%4 Jul →
nuke6–13-0.0111%4 Jul →
dust213–30.0211%4 Jul →
vertigo2–8-0.0415%3 Jul →
dust21–12-0.045%3 Jul →
office13–5-0.0211%3 Jul →
dust213–100.0215%3 Jul →
dust211–13-0.0216%3 Jul →
nuke13–9-0.0018%3 Jul →
nuke13–90.0630%3 Jul →
ancient13–2-0.018%3 Jul →
ancient6–13-0.0312%28 Jun →
nuke13–70.0613%28 Jun →
dust213–100.0110%28 Jun →
dust216–120.0215%27 Jun →
nuke7–130.0114%27 Jun →
anubis13–30.058%27 Jun →
ancient13–90.0315%27 Jun →
dust213–90.1016%27 Jun →
cache13–80.0614%27 Jun →
mirage13–30.119%21 Jun →
ancient6–130.0014%21 Jun →
cache13–100.018%21 Jun →
inferno0–7-0.129%20 Jun →
ancient7–13-0.0217%20 Jun →
cache10–13-0.0313%19 Jun →
cache7–13-0.0213%19 Jun →
inferno12–120.056%19 Jun →
cache13–70.1513%16 Jun →
nuke16–130.0911%14 Jun →
inferno10–130.0024%14 Jun →
nuke9–130.0311%14 Jun →
cache11–20.122%14 Jun →
anubis13–100.0718%7 Jun →
nuke9–50.146%7 Jun →
mirage13–50.1314%7 Jun →
dust213–30.0912%7 Jun →
mirage4–13-0.073%7 Jun →
inferno13–70.0813%6 Jun →
cache13–30.1010%6 Jun →
nuke13–9-0.0519%6 Jun →
dust213–110.089%6 Jun →
dust24–13-0.0217%31 May →
nuke5–13-0.069%31 May →
inferno9–13-0.0410%31 May →
ancient16–14-0.0212%31 May →
ancient13–50.027%31 May →
overpass13–160.0415%27 May →
overpass13–50.0823%26 May →
dust29–13-0.089%26 May →
ancient0–13-0.0314%25 May →
ancient13–80.046%25 May →
inferno1–130.007%25 May →
nuke7–130.0119%25 May →
inferno4–130.0217%25 May →
dust22–130.1116%25 May →
mirage5–13-0.073%24 May →
cache7–13-0.0415%24 May →
nuke4–13-0.098%24 May →
mirage5–130.0016%24 May →
inferno13–50.0615%24 May →
nuke13–90.0311%24 May →
nuke12–12-0.039%24 May →
ancient5–13-0.017%24 May →
dust26–13-0.0513%24 May →
nuke13–100.0312%24 May →
cache8–13-0.0014%24 May →
inferno9–130.0311%17 May →
nuke7–13-0.0219%17 May →
nuke13–50.0615%17 May →

Match data via Leetify.

Recent teammates

Milestones

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

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