kYRRZ

kYRRZ — CS2 Stats

ES76561198051523449[U:1:91257721]Steam profile ↗✓ No bans

64Tracked matches57%Win rate2021Tracked since
2,612Hours in CS
CSDB Rating6.7 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim93
Positioning58
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY37–18–1Last 5666%Win rateLWLLLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +1.2pp headshot accuracy · +67ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 36%
  • Avg reaction 619ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 39%
  • Avg reaction 642ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 38%
  • Avg reaction 609ms

Newest first, from the last 56 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 (+1.1 against its own average).

Aim9.3
Utility3.2
Positioning5.8
Opening Duels5.1

Sharp aimerLimited 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.

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 84% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 615ms 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

Aim9.3
Positioning5.8
Utility3.2
Mechanics8.4
Opening Duels3.1
Win Impact7.2

Composite 6.7/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time614ms+20ms
first ⅓ avg 594ms → last ⅓ avg 614ms
Headshot accuracy38.1%+7.1%
first ⅓ avg 31.0% → last ⅓ avg 38.1%

Rolling 5-match average across the last 56 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.18Best match rating · 13–8 · inferno, 7 Apr →
62%Best headshot accuracy · 9–3 · mirage, 4 Nov →
422msFastest reaction time · 13–1 · train, 5 Dec →
13–0Biggest win · anubis, 5 Sept →

Across the last 56 tracked matches.

Highlights

9Longest win streak
3–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 100% over 6infernoWeakest map · 59% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA1710–759%0.04
mirageS139–469%0.06
anubisS75–271%0.04
overpassS66–0100%0.03
nuke—31–233%-0.09
train—32–167%0.04
ancient—20–20%-0.01
vertigo—22–0100%0.04
cache—21–150%0.03
dust2—11–0100%0.01

Across the last 56 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (59% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

177,157Lifetime kills
1.30K/D · Top 10% of tracked players
6,946Matches
62.9%Match win rate · Top 5% of tracked players
58.3%Headshot % · Top 10% of tracked players
20.7%Shot accuracy · Top 5% of tracked players
16,792MVPs
2,612Hours (in match)
4,974Bombs planted
1,613Bombs defused

Most-used weapons

AK-4782,906
AWP22,336
P2503,046
Knife2,200
SSG 081,686

Lifetime map wins

10,313dust2
5,969inferno
3,322train
2,959cbble
2,213nuke
296italy
260lake
175vertigo

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.

37.0%Headshot accuracy
34.8%Accuracy (enemy spotted)
40.5%Spray accuracy
87.8%Counter-strafing
7.8°Preaim
615msReaction time
35.2%T opening success
49.7%CT opening success
0.51Enemies flashed / flash
3.4%Flash assists
13.80HE damage / grenade
4.28Flashes / 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

    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 35.2295% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno11–130.1041%1 Jun →
anubis13–60.0127%1 Jun →
anubis11–13-0.0138%7 May →
ancient5–130.0147%6 May →
inferno11–130.0629%5 May →
mirage13–60.0433%5 May →
mirage13–30.0952%28 Apr →
nuke16–120.0035%27 Apr →
mirage9–10.1557%27 Apr →
mirage13–30.0326%25 Apr →
inferno11–130.0521%3 Mar →
inferno13–60.0638%25 Oct →
overpass13–9-0.0325%25 Oct →
nuke4–13-0.0955%25 Oct →
overpass13–70.0338%20 Oct →
inferno11–130.0230%21 Jul →
train11–13-0.0843%13 Jul →
anubis13–100.0352%13 Jul →
inferno13–30.0650%13 Jul →
mirage7–130.0422%12 Jul →
mirage14–160.0034%12 Jul →
mirage13–20.0633%11 Jul →
anubis13–80.0926%11 Jul →
inferno4–13-0.0645%26 Jun →
ancient3–13-0.0419%5 Dec →
inferno13–110.0139%5 Dec →
dust213–100.0156%5 Dec →
train13–10.0944%5 Dec →
inferno9–130.0333%1 Dec →
mirage13–50.1142%12 Jun →
mirage13–20.0758%30 Apr →
vertigo13–50.0838%10 Apr →
inferno13–30.1642%9 Apr →
inferno13–80.1855%7 Apr →
anubis13–00.0829%5 Sept →
vertigo13–110.0129%4 Sept →
inferno13–5-0.0241%4 Sept →
overpass13–50.0527%4 Sept →
mirage10–130.0134%1 Sept →
mirage12–160.0828%13 Aug →
inferno16–140.0321%9 Aug →
overpass16–130.0523%9 Aug →
overpass16–60.0931%9 Aug →
inferno9–16-0.0722%2 Aug →
inferno16–10-0.0043%1 Aug →
mirage16–70.0336%1 Aug →
anubis9–00.1228%28 Jul →
inferno16–100.0122%26 Jul →
cache16–130.0638%25 Jul →
train4–00.1256%25 Jul →
inferno16–80.0641%22 Jul →
nuke1–9-0.170%12 Jun →
anubis15–15-0.0331%5 Apr →
overpass16–50.0030%17 Jul →
mirage9–30.1362%4 Nov →
cache7–16-0.0012%8 Jul →

Match data via Leetify.

Recent teammates

Milestones

Aim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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