isopod appreciator — CS2 Stats

76561198950188727[U:1:989922999]

43Tracked matches52%Win rate2024Tracked since
CSDB Rating2.3 Learning
Ladder ranks via Leetify

Performance scores

Aim14
Positioning14
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY21166Last 4349%Win rateTWWLTLLLWW

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

Player DNA

Aim1.4
Aggression0.0
Utility0.4
Positioning1.4
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.

Strengths & areas to improve

Areas to improve

Reaction time. 716ms 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

Aim1.4
Positioning1.4
Utility0.4
Mechanics6.5
Opening Duels0.0
Win Impact5.7

Composite 2.3/10 (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-0.08−0.01
first ⅓ avg -0.07 → last ⅓ avg -0.08
Reaction time698ms−79ms
first ⅓ avg 777ms → last ⅓ avg 698ms
Headshot accuracy11.5%+1.3%
first ⅓ avg 10.2% → last ⅓ avg 11.5%

Rolling 5-match average across the last 43 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.02Best rating — dust2 7–0
130Biggest win — dust2
7Longest win streak

Map breakdown

ancientBest map · 57% over 7infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%-0.07
infernoC114736%-0.09
ancientA74357%-0.07

Across the last 43 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). 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.

11.4%Headshot accuracy
18.7%Accuracy (enemy spotted)
13.7%Spray accuracy
79.2%Counter-strafing
8.6°Preaim
716msReaction time
4.1%T opening success
13.0%CT opening success
0.04Enemies flashed / flash
1.8%Flash assists
1.84HE damage / grenade
0.10Flashes / 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 11.3541% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 13.6608% — below the 20% mark we flag

    Practice Config
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 716.2796ms — above the 700ms 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–12-0.105%11 Jul
dust213–7-0.0815%11 Jul
ancient5–11-0.110%9 Jun
dust211–13-0.1118%10 Jan
dust212–12-0.1211%9 Jan
dust24–13-0.1112%9 Jan
inferno4–13-0.078%8 Jan
inferno5–13-0.0410%8 Jan
dust213–8-0.0129%8 Jan
dust213–5-0.096%7 Jan
dust23–13-0.088%7 Jan
dust28–13-0.0515%6 Jan
inferno1–13-0.0818%6 Jan
inferno13–2-0.105%5 Jan
ancient12–12-0.087%5 Jan
inferno11–13-0.0528%5 Jan
ancient8–13-0.080%5 Jan
dust212–12-0.033%5 Jan
dust213–6-0.097%5 Jan
dust27–00.0217%5 Jan
dust213–8-0.0714%4 Jan
dust28–13-0.0815%4 Jan
dust26–13-0.125%4 Jan
dust213–7-0.069%3 Jan
dust213–3-0.050%3 Jan
dust213–8-0.0813%3 Jan
dust212–12-0.0511%3 Jan
ancient3–13-0.0618%3 Jan
dust213–4-0.0224%3 Jan
inferno13–11-0.097%2 Jan
ancient13–3-0.080%2 Jan
ancient13–3-0.0410%2 Jan
ancient8–2-0.024%2 Jan
inferno13–10-0.096%2 Jan
dust213–8-0.0913%1 Jan
inferno9–13-0.159%1 Jan
dust212–12-0.0214%1 Jan
inferno13–7-0.1014%28 Dec
dust213–9-0.1217%28 Dec
dust213–0-0.010%28 Dec
dust23–13-0.0615%28 Dec
inferno9–13-0.1017%28 Dec
inferno2–13-0.0817%19 Dec

Match data via Leetify.

Recent teammates

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