kissakala15000

kissakala15000 — CS2 Stats

76561198316037746[U:1:355772018]Steam profile ↗✓ No bans

52Tracked matches60%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,999 +468 14 Aug – 18 Oct · 4 days played
9,5319,999peak 9,99914 Aug18 Oct
9,999Peak Premier in tracked matches
23Days played since 2020-12-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim77
Positioning56
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY27–23Last 5054%Win rateWLWLLWLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −7.3pp headshot accuracy · −74ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 447ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 516ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Newest first, from the last 50 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.7
Utility2.3
Positioning5.6
Opening Duels3.5

Strong T-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 86% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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.

CT openings. Opening success drops from 49% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 588ms 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

Aim7.7
Positioning5.6
Utility2.3
Mechanics7.4
Opening Duels2.6
Win Impact8.3

Composite 6.0/10 (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 rating0.01−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time544ms−134ms
first ⅓ avg 678ms → last ⅓ avg 544ms
Headshot accuracy18.6%−4.4%
first ⅓ avg 23.0% → last ⅓ avg 18.6%

Rolling 5-match average across the last 50 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 10–13 · mirage, 31 Mar →
37%Best headshot accuracy · 13–11 · inferno, 26 Jul →
438msFastest reaction time · 9–13 · inferno, 2 Aug →
13–0Biggest win · dust2, 2 Aug →

Across the last 50 tracked matches.

Highlights

5Longest win streak
4–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 67% over 12ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%0.05
dust2S128–467%0.05
ancientD62–433%0.02
inferno—42–250%0.06
nuke—33–0100%0.01
overpass—22–0100%0.02
anubis—10–10%-0.07

Across the last 50 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient 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.

21.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.6%Spray accuracy
83.5%Counter-strafing
9.6°Preaim
588msReaction time
48.9%T opening success
31.6%CT opening success
0.46Enemies flashed / flash
5.9%Flash assists
7.32HE damage / grenade
8.55Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4573 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.5895% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.1229%30 Jan →
anubis2–13-0.070%28 Jan →
mirage13–20.1219%28 Jan →
ancient10–130.0413%2 Nov →
mirage1–13-0.0017%18 Oct →
nuke13–1-0.0112%18 Oct →
dust210–13-0.0514%18 Oct →
ancient16–140.0418%18 Oct →
ancient7–13-0.0127%17 Oct →
nuke13–90.0314%17 Oct →
overpass13–60.0628%17 Oct →
dust213–50.0217%17 Oct →
overpass13–9-0.0113%17 Oct →
nuke12–80.0033%15 Aug →
ancient7–13-0.0319%14 Aug →
mirage13–7-0.0126%14 Aug →
dust211–130.0822%14 Aug →
dust27–130.1119%13 Aug →
dust213–30.0233%13 Aug →
dust213–60.1129%13 Aug →
inferno9–13-0.0118%2 Aug →
dust213–00.0327%2 Aug →
ancient10–130.0425%1 Aug →
ancient16–140.0416%31 Jul →
mirage10–130.0217%27 Jul →
mirage4–11-0.025%27 Jul →
dust213–50.1321%27 Jul →
dust213–40.0229%27 Jul →
dust213–60.0623%27 Jul →
inferno13–110.1337%26 Jul →
dust211–13-0.0121%26 Jul →
dust213–20.0725%26 Jul →
mirage6–130.0429%24 Jul →
mirage8–130.039%24 Jul →
mirage9–130.0223%17 Jul →
mirage13–00.0520%16 Jul →
mirage13–30.0922%16 Jul →
mirage8–130.0029%17 Apr →
mirage5–0-0.0117%14 Apr →
mirage13–40.0825%2 Apr →
mirage13–10.0824%31 Mar →
mirage8–130.1425%31 Mar →
mirage10–130.1423%31 Mar →
mirage7–130.0816%31 Mar →
mirage13–10.0626%30 Mar →
mirage2–13-0.0223%30 Mar →
mirage13–110.0424%30 Mar →
mirage10–20.0930%30 Mar →
mirage6–160.0019%6 Mar →
inferno14–160.0024%6 Dec →

Match data via Leetify.

Recent teammates

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

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