Appa — CS2 Stats

76561198363579593[U:1:403313865]

483Tracked matches52%Win rate2021Tracked since
CSDB Rating4.7 DevelopingPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim62
Positioning34
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateWWLWWTLLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.2
Aggression1.7
Utility6.0
Positioning3.4
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.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.2
Positioning3.4
Utility6.0
Mechanics4.4
Opening Duels0.0
Win Impact5.6

Composite 4.7/10 (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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time703ms+5ms
first ⅓ avg 698ms → last ⅓ avg 703ms
Headshot accuracy15.9%+0.6%
first ⅓ avg 15.3% → last ⅓ avg 15.9%

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

0.22Best rating — dust2 8–0
133Biggest win — anubis
6Longest win streak
W2Current streak
85In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 58% over 33nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A33191458%-0.01
infernoC24101442%-0.02
anubisA2011955%-0.00
ancientB136746%-0.02
nukeD51420%-0.02
mirage3030%-0.03
cache21150%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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.

15.5%Headshot accuracy
38.8%Accuracy (enemy spotted)
42.8%Spray accuracy
69.8%Counter-strafing
9.4°Preaim
686msReaction time
20.3%T opening success
29.8%CT opening success
0.69Enemies flashed / flash
11.6%Flash assists
14.43HE damage / grenade
3.22Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2185 — below the 4 mark we flag

    Grenade Lineups
  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 20.308% — below the 40% mark we flag

Spend your practice time on Nuke

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 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–4-0.0017%27 Aug
dust29–5-0.025%26 Aug
nuke9–13-0.0323%25 Aug
inferno13–7-0.0020%24 Aug
dust213–9-0.0410%21 Aug
anubis15–15-0.0713%20 Aug
ancient3–13-0.0822%18 Aug
nuke4–13-0.0215%18 Aug
anubis6–13-0.015%9 Aug
anubis13–30.0125%7 Aug
nuke13–11-0.009%31 Jul
nuke7–13-0.0121%28 Jul
dust213–30.0429%28 Jul
ancient1–13-0.0918%24 Jul
ancient15–15-0.099%23 Jul
nuke10–13-0.0419%22 Jul
dust211–6-0.0523%22 Jul
dust26–13-0.0124%18 Jul
dust216–120.0112%18 Jul
anubis5–13-0.059%16 Jul
dust213–4-0.0114%16 Jul
dust212–120.1021%7 Jul
dust24–13-0.089%4 Jul
inferno10–13-0.064%4 Jul
dust213–8-0.0315%30 Jun
inferno13–90.0115%25 Jun
inferno4–13-0.0410%25 Jun
ancient7–13-0.0329%19 Jun
dust28–00.2214%17 Jun
inferno13–11-0.0220%16 Jun
inferno6–9-0.0221%13 Jun
anubis12–16-0.068%12 Jun
dust213–3-0.0721%12 Jun
anubis9–13-0.0216%11 Jun
anubis13–90.0518%31 May
ancient13–11-0.0239%26 May
dust29–13-0.0812%25 May
inferno6–130.0615%15 May
dust213–90.0226%13 May
cache11–13-0.029%11 May
inferno4–13-0.089%11 May
dust213–10-0.0411%6 May
dust212–160.0518%6 May
anubis13–70.0213%5 May
dust213–40.0420%2 May
cache13–5-0.0216%29 Apr
inferno5–13-0.0516%27 Apr
anubis13–70.0215%27 Apr
inferno13–60.0729%24 Apr
dust215–15-0.098%22 Apr
anubis13–10-0.0313%22 Apr
inferno16–13-0.0112%21 Apr
ancient13–80.0312%11 Apr
inferno7–13-0.0116%10 Apr
anubis16–140.0119%8 Apr
ancient13–11-0.0012%8 Apr
dust215–150.0012%4 Apr
inferno13–11-0.028%3 Apr
inferno13–8-0.0214%2 Apr
anubis7–130.0027%31 Mar
ancient13–80.0017%31 Mar
dust211–13-0.0611%22 Mar
dust213–11-0.0219%20 Mar
dust213–60.0316%20 Mar
anubis10–130.0320%20 Mar
ancient13–60.0015%19 Mar
dust27–13-0.0331%12 Mar
anubis13–8-0.0117%12 Mar
anubis8–130.0427%8 Mar
dust210–13-0.0423%8 Mar
dust29–13-0.0420%7 Mar
inferno13–90.0318%7 Mar
ancient8–13-0.047%5 Mar
inferno7–13-0.0415%5 Mar
inferno6–13-0.0715%4 Mar
inferno4–13-0.068%4 Mar
ancient13–70.0311%4 Mar
anubis16–130.0521%2 Mar
dust216–13-0.0220%2 Mar
inferno13–80.0213%2 Mar
anubis13–50.0113%27 Feb
dust213–6-0.0520%25 Feb
mirage6–13-0.0719%20 Feb
ancient7–13-0.018%20 Feb
inferno11–13-0.0112%18 Feb
anubis13–9-0.0219%18 Feb
inferno3–13-0.043%18 Feb
dust215–15-0.019%13 Feb
inferno9–13-0.0127%13 Feb
mirage11–130.0013%13 Feb
ancient6–13-0.0311%11 Feb
dust213–9-0.0413%11 Feb
dust214–16-0.0314%11 Feb
inferno9–130.0016%11 Feb
dust213–100.069%8 Feb
anubis6–2-0.0213%8 Feb
inferno13–11-0.0318%8 Feb
dust212–12-0.0219%8 Feb
anubis7–13-0.0511%7 Feb
mirage7–13-0.0323%7 Feb

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 →