дa я cтapый мнe пoxой

дa я cтapый мнe пoxой — CS2 Stats

76561197994521415[U:1:34255687]Steam profile ↗✓ No bans

1,158Tracked matches59%Win rate2025Tracked since
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#1202 of 261515 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+81Tracked matches · now 1,158
−34.5ppWin rate · 93.1% → 58.6%

Rating over time

Premier CS Rating: 29,469 +6,860 28 Aug – 21 Sept · 5 days played
22,60929,469peak 29,46928 Aug21 Sept
29,999Peak Premier in tracked matches
35Days played since 2026-08-12

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

Performance scores

Aim90
Positioning64
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY75–23–2Last 10075%Win rateWLWLWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −6.6pp headshot accuracy · +137ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 720ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 32%
  • Avg reaction 664ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 35%
  • Avg reaction 596ms

Newest first, from the last 100 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 (+2 against its own average).

Aim9.0
Utility1.6
Positioning6.4
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 73% 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

T openings. 65% T opening-duel success — entries that actually open the round.

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 65% on T to 49% on CT — first contacts on the defending side are being lost.

Reaction time. 575ms 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

Aim9.0
Positioning6.4
Utility1.6
Mechanics6.6
Opening Duels6.8
Win Impact7.9

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+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time589ms+38ms
first ⅓ avg 551ms → last ⅓ avg 589ms
Headshot accuracy33.1%+9.7%
first ⅓ avg 23.4% → last ⅓ avg 33.1%

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.

Personal bests

0.28Best match rating · 13–6 · mirage, 30 Aug →
67%Best headshot accuracy · 13–9 · dust2, 31 Aug →
234msFastest reaction time · 13–6 · mirage, 28 Aug →
13–0Biggest win · inferno, 26 Sept →

Across the last 100 tracked matches.

Highlights

20Longest win streak
5–1In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 100% over 13cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
vertigoA2214–864%-0.02
mirageS1614–288%0.10
infernoS139–469%0.03
dust2S1313–0100%0.13
anubisS97–278%0.03
overpassB84–450%0.03
officeS76–186%0.10
trainS55–0100%0.08
cacheD51–420%0.00
italy—22–0100%0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

34.2%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.0%Spray accuracy
79.9%Counter-strafing
8.5°Preaim
575msReaction time
65.3%T opening success
48.9%CT opening success
0.14Enemies flashed / flash
6.8%Flash assists
8.77HE damage / grenade
1.23Flashes / 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 0.1352 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0631%13 Nov →
vertigo5–13-0.0239%12 Nov →
anubis13–7-0.0125%11 Nov →
overpass10–130.1228%11 Nov →
train13–2-0.066%6 Nov →
anubis7–13-0.0146%6 Nov →
vertigo13–110.0539%6 Nov →
anubis13–11-0.0221%6 Nov →
inferno4–130.0036%5 Nov →
anubis12–50.0548%3 Nov →
vertigo13–90.0137%31 Oct →
mirage8–20.1459%31 Oct →
office2–130.0435%30 Oct →
mirage13–10.2057%26 Oct →
inferno13–90.1035%26 Oct →
anubis7–13-0.0545%26 Oct →
mirage13–60.0124%26 Oct →
vertigo13–50.0123%26 Oct →
cache10–13-0.0330%25 Oct →
inferno7–130.0141%25 Oct →
cache5–130.0258%23 Oct →
cache12–12-0.0427%22 Oct →
inferno13–10-0.0338%18 Oct →
vertigo13–100.0536%17 Oct →
mirage7–130.0230%11 Oct →
vertigo6–13-0.0814%11 Oct →
vertigo13–40.0326%11 Oct →
inferno2–130.0226%11 Oct →
train13–30.0418%7 Oct →
train13–100.1958%7 Oct →
train13–10.109%7 Oct →
anubis13–20.0823%4 Oct →
vertigo13–30.0926%4 Oct →
vertigo10–130.0317%3 Oct →
overpass4–00.0938%2 Oct →
overpass13–20.0632%2 Oct →
italy13–30.0928%1 Oct →
office13–20.0930%30 Sept →
office13–10.0116%30 Sept →
overpass4–10-0.014%29 Sept →
overpass8–00.2456%29 Sept →
dust23–00.0833%28 Sept →
train13–20.1142%28 Sept →
vertigo13–40.1224%28 Sept →
vertigo13–20.1821%28 Sept →
office6–00.2432%27 Sept →
italy13–100.0148%26 Sept →
inferno13–10.1027%26 Sept →
inferno13–00.1121%26 Sept →
vertigo13–30.0824%26 Sept →
vertigo13–40.0834%26 Sept →
office13–10.1333%21 Sept →
dust24–00.1932%21 Sept →
dust213–40.0218%17 Sept →
mirage13–50.1247%17 Sept →
mirage13–20.0813%17 Sept →
office13–70.0441%17 Sept →
office13–30.1927%17 Sept →
anubis13–70.1029%17 Sept →
anubis13–20.0938%17 Sept →
mirage0–40.000%31 Aug →
mirage13–100.1337%31 Aug →
dust213–30.1814%31 Aug →
dust213–90.1567%31 Aug →
dust213–80.2360%31 Aug →
inferno13–80.0823%31 Aug →
mirage13–60.2832%30 Aug →
mirage13–30.0817%30 Aug →
anubis10–30.0832%30 Aug →
mirage13–50.1116%30 Aug →
dust213–20.0811%30 Aug →
dust213–20.2028%30 Aug →
dust213–4-0.0127%30 Aug →
inferno13–30.1322%30 Aug →
inferno13–60.0967%30 Aug →
mirage13–50.1633%30 Aug →
mirage13–70.0320%30 Aug →
dust213–90.1648%30 Aug →
cache9–130.0119%29 Aug →
cache13–10.0726%29 Aug →
dust213–50.225%29 Aug →
dust213–30.0321%28 Aug →
dust210–10.1441%28 Aug →
mirage13–90.1241%28 Aug →
mirage13–60.1136%28 Aug →
inferno12–12-0.087%24 Aug →
inferno13–6-0.105%24 Aug →
inferno5–3-0.088%24 Aug →
overpass4–13-0.1031%24 Aug →
vertigo0–9-0.2317%14 Aug →
vertigo9–7-0.125%14 Aug →
vertigo4–9-0.1836%14 Aug →
vertigo7–9-0.1618%14 Aug →
vertigo9–7-0.136%14 Aug →
vertigo9–20.0119%13 Aug →
overpass4–13-0.1022%12 Aug →
overpass13–5-0.0425%12 Aug →
vertigo13–7-0.0524%12 Aug →
vertigo4–13-0.138%12 Aug →
vertigo3–13-0.0631%12 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches20-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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