↯кискадёр↯

↯кискадёр↯ — CS2 Stats

NO76561199130120574[U:1:1169854846]Steam profile ↗✓ No bans

88Tracked matches41%Win rate2026Tracked since
811Hours in CS7Hrs last 2 wks
CSDB Rating5.0 DevelopingAll-Rounder
Premier CS Rating10,359Blue band · top ~53% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,359 +1,034 6 Feb – 1 Nov · 52 days played
4,00311,232peak 11,2326 Feb1 Nov
11,232Peak Premier in tracked matches
66Days played since 2026-01-15

Premier CS Rating

  • 873 below peak (11,232)
  • +1,245 over 30 days · improving
  • +793 over 90 days
  • Next: Purple band at 15,000 — 4,641 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=23,968), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate52.0%42.0%44.4%above
Shot accuracy0.0%9.7%11.8%11.8% short
Kill/death ratio0.800.981.030.23 short
Match win rate43.3%43.8%45.3%2.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG↯кискадёр↯PREMIER10,359 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning52
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49–34–5Last 8856%Win rateWWWLLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.8pp headshot accuracy · −30ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 674ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 631ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 645ms

Newest first, from the last 88 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility5.1
Positioning5.2
Opening Duels4.8

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 663ms 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

Aim6.4
Positioning5.2
Utility5.1
Mechanics5.3
Opening Duels5.3
Win Impact2.1

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time651ms−67ms
first ⅓ avg 718ms → last ⅓ avg 651ms
Headshot accuracy18.0%−2.9%
first ⅓ avg 20.9% → last ⅓ avg 18.0%

Rolling 5-match average across the last 88 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.21Best match rating · 11–13 · dust2, 20 Jul →
38%Best headshot accuracy · 13–11 · dust2, 1 Jun →
422msFastest reaction time · 1–13 · inferno, 26 Sept →
13–2Biggest win · inferno, 1 Nov →

Across the last 88 tracked matches.

Highlights

4Longest win streak
W3Current streak
8–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 65% over 20ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA3320–1361%0.02
dust2S2013–765%0.02
ancientC135–838%-0.01
nukeB115–645%0.01
anubisB84–450%0.04
inferno—32–167%0.01

Across the last 88 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,682Lifetime kills
0.80K/D
763Matches
43.3%Match win rate
52.0%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
1,592MVPs
489Hours (in match)
706Bombs planted
196Bombs defused

Most-used weapons

Lifetime map wins

1,507dust2
568nuke
468inferno
28vertigo
26train
1ar_shoots

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.

17.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.6%Spray accuracy
73.8%Counter-strafing
8.9°Preaim
663msReaction time
61.3%T opening success
41.0%CT opening success
0.59Enemies flashed / flash
2.5%Flash assists
6.40HE damage / grenade
10.58Flashes / match

Recommended for you

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0122%8 Nov →
inferno13–20.0322%1 Nov →
inferno13–70.1112%9 Oct →
nuke7–13-0.0427%9 Oct →
mirage1–8-0.0325%4 Oct →
anubis9–130.0113%4 Oct →
ancient13–5-0.0311%4 Oct →
inferno1–13-0.120%26 Sept →
ancient4–13-0.0322%25 Sept →
mirage13–30.0015%23 Sept →
anubis5–13-0.0518%22 Sept →
mirage16–130.0117%20 Sept →
nuke9–13-0.0818%20 Sept →
dust211–13-0.0221%20 Sept →
ancient7–13-0.0316%13 Sept →
mirage9–13-0.0914%10 Sept →
mirage13–40.0326%7 Sept →
ancient13–50.0328%26 Aug →
mirage13–70.0325%26 Aug →
mirage2–130.0024%13 Aug →
dust26–13-0.0121%7 Aug →
dust20–13-0.0818%5 Aug →
mirage15–15-0.0120%3 Aug →
mirage9–130.0013%2 Aug →
mirage13–100.0516%1 Aug →
dust213–100.1020%1 Aug →
dust216–140.0113%29 Jul →
anubis8–130.0618%29 Jul →
mirage4–130.018%28 Jul →
mirage4–13-0.0317%27 Jul →
nuke8–130.0221%27 Jul →
nuke10–13-0.0418%27 Jul →
nuke13–20.0613%26 Jul →
nuke13–80.0310%26 Jul →
ancient9–130.0316%25 Jul →
mirage10–130.0815%24 Jul →
mirage13–100.1018%24 Jul →
dust213–50.0319%24 Jul →
mirage13–100.0917%24 Jul →
ancient15–15-0.0221%23 Jul →
anubis13–80.1018%20 Jul →
dust211–130.2120%20 Jul →
mirage13–60.047%15 Jul →
anubis13–9-0.0417%8 Jul →
mirage13–110.0320%8 Jul →
dust28–13-0.0516%8 Jul →
mirage12–16-0.0915%5 Jul →
anubis9–13-0.0113%30 Jun →
anubis13–40.1521%26 Jun →
mirage13–70.0615%22 Jun →
dust213–70.0419%17 Jun →
dust213–90.0521%14 Jun →
mirage9–130.0422%13 Jun →
dust213–11-0.0338%1 Jun →
dust212–12-0.0618%31 May →
mirage13–110.0218%30 May →
anubis13–110.1115%30 May →
dust213–70.1123%30 May →
ancient13–9-0.0422%20 May →
dust211–130.0020%19 May →
nuke15–15-0.0017%17 May →
dust213–8-0.090%17 May →
mirage6–13-0.0315%6 May →
mirage13–11-0.0115%25 Apr →
ancient8–130.0111%20 Apr →
nuke13–20.1128%7 Apr →
mirage13–60.0418%31 Mar →
dust213–90.1028%22 Mar →
ancient4–13-0.0112%16 Mar →
ancient6–130.0018%11 Mar →
dust213–11-0.0121%10 Mar →
dust213–20.0238%7 Mar →
dust213–60.0328%7 Mar →
mirage13–20.0425%7 Mar →
ancient6–13-0.0313%6 Mar →
nuke13–7-0.0636%25 Feb →
ancient8–0-0.0415%23 Feb →
mirage13–70.0735%19 Feb →
mirage13–100.0317%18 Feb →
nuke10–130.0120%10 Feb →
dust213–11-0.0328%8 Feb →
ancient13–6-0.0121%7 Feb →
mirage13–9-0.0418%6 Feb →
mirage13–40.0521%28 Jan →
mirage12–120.0718%26 Jan →
mirage13–40.0515%23 Jan →
mirage6–13-0.0221%21 Jan →
nuke13–40.0636%15 Jan →

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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