✪ Zerisyk-

✪ Zerisyk- — CS2 Stats

76561199059121252[U:1:1098855524]Steam profile ↗✓ No bans

482Tracked matches78%Win rate2021Tracked since
CSDB Rating7.6 StrongSupport
Premier CS Rating23,485Top 25% of 205,416 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#36918 of 252538 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 23,485 +7,764 5 Jul – 16 Oct · 6 days played
15,72123,485peak 23,4855 Jul16 Oct
23,485Peak Premier in tracked matches
43Days played since 2026-05-08

Premier CS Rating

  • At peak — 23,485
  • +2,939 over 30 days · improving
  • +7,764 over 90 days
  • Next: Red band at 25,000 — 1,515 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GG✪ Zerisyk-FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER23,485 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning63
Utility82

0–100 skill scores via Leetify.

Recent form

STEADY56–33–11Last 10056%Win rateWWWLWWWTTL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +5.0pp headshot accuracy · −96ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 514ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 509ms

Last 20

  • 15–3–2 · 75% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 557ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim7.8
Utility8.2
Positioning6.3
Opening Duels5.1

Strong CT-side openerEffective flashesHigh utility contribution

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8
Positioning6.3
Utility8.2
Mechanics7.0
Opening Duels5.7
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.05
first ⅓ avg -0.00 → last ⅓ avg 0.04
Reaction time550ms−75ms
first ⅓ avg 624ms → last ⅓ avg 550ms
Headshot accuracy22.1%+5.2%
first ⅓ avg 16.9% → last ⅓ avg 22.1%

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

0.17Best match rating · 5–13 · inferno, 3 Jul →
41%Best headshot accuracy · 8–13 · dust2, 25 Jun →
391msFastest reaction time · 3–13 · dust2, 9 Jul →
13–1Biggest win · cache, 26 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
6–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 9infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B5026–2452%0.02
cacheS2013–765%0.00
infernoC104–640%0.02
mirageS96–367%0.02
ancientA74–357%0.02
anubis—21–150%-0.00
train—11–0100%0.04
overpass—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). 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.

21.7%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.8%Spray accuracy
81.7%Counter-strafing
9.4°Preaim
545msReaction time
43.9%T opening success
62.0%CT opening success
0.74Enemies flashed / flash
11.3%Flash assists
17.99HE damage / grenade
13.50Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.1131%16 Oct →
mirage13–70.0141%16 Oct →
anubis13–60.0025%16 Oct →
dust214–160.0616%12 Oct →
ancient13–60.0723%12 Oct →
cache13–110.1023%12 Oct →
dust213–60.0724%26 Sept →
dust212–120.0020%26 Sept →
dust212–120.0427%26 Sept →
mirage2–90.0227%26 Sept →
mirage13–60.0217%24 Sept →
mirage13–60.0222%24 Sept →
mirage13–110.0829%19 Sept →
dust213–70.0815%16 Sept →
cache13–60.1320%16 Sept →
mirage13–20.0514%6 Sept →
dust213–6-0.0131%6 Sept →
mirage5–13-0.0323%5 Sept →
inferno13–70.0311%5 Sept →
cache13–30.0124%31 Aug →
dust213–40.0916%31 Aug →
dust213–30.0228%31 Aug →
ancient13–60.0526%30 Aug →
cache10–13-0.0314%17 Aug →
dust29–13-0.0119%17 Aug →
ancient13–90.0518%16 Aug →
dust212–12-0.0511%12 Aug →
cache13–10.1128%26 Jul →
dust213–40.0418%26 Jul →
dust26–130.0120%26 Jul →
dust213–10-0.0118%26 Jul →
dust213–60.0827%26 Jul →
dust213–50.0925%26 Jul →
ancient13–100.0018%26 Jul →
dust213–90.1721%25 Jul →
dust29–13-0.097%25 Jul →
dust213–11-0.0115%25 Jul →
dust213–50.1317%21 Jul →
ancient12–12-0.0120%21 Jul →
dust23–130.0017%20 Jul →
cache2–13-0.0227%20 Jul →
dust213–7-0.0217%20 Jul →
inferno10–130.0221%20 Jul →
dust213–4-0.0729%20 Jul →
mirage7–130.0110%20 Jul →
cache3–13-0.0811%16 Jul →
dust213–70.0322%14 Jul →
dust212–12-0.0222%9 Jul →
dust23–13-0.0319%9 Jul →
dust210–13-0.0416%9 Jul →
cache13–60.0215%9 Jul →
ancient8–13-0.0321%8 Jul →
cache13–8-0.0311%8 Jul →
inferno13–110.0322%5 Jul →
inferno14–16-0.0122%3 Jul →
inferno5–130.1739%3 Jul →
dust25–13-0.0121%3 Jul →
dust213–70.0915%25 Jun →
dust213–7-0.0111%25 Jun →
inferno9–13-0.0128%25 Jun →
dust28–130.0041%25 Jun →
dust213–9-0.0133%22 Jun →
dust25–13-0.0421%22 Jun →
dust24–13-0.0512%20 Jun →
cache11–13-0.0120%20 Jun →
train13–100.049%19 Jun →
inferno6–130.0717%19 Jun →
ancient12–12-0.0014%19 Jun →
mirage5–0-0.0133%19 Jun →
dust213–100.0816%17 Jun →
cache13–10-0.0217%17 Jun →
dust213–10-0.0013%17 Jun →
dust213–60.0919%15 Jun →
cache13–11-0.0516%15 Jun →
dust213–50.0112%12 Jun →
anubis15–15-0.0117%12 Jun →
dust213–8-0.0312%11 Jun →
inferno13–6-0.0218%11 Jun →
dust212–120.0210%11 Jun →
cache13–110.0516%9 Jun →
dust212–12-0.0026%9 Jun →
cache13–7-0.0122%6 Jun →
overpass13–60.0511%6 Jun →
dust215–15-0.0219%6 Jun →
dust210–13-0.0015%2 Jun →
dust213–20.0510%28 May →
cache13–60.0018%28 May →
cache13–9-0.0432%25 May →
dust212–12-0.0514%25 May →
dust210–130.0730%23 May →
dust211–13-0.067%22 May →
cache10–13-0.0610%14 May →
inferno13–9-0.0511%14 May →
dust210–130.0218%14 May →
dust213–8-0.0317%12 May →
cache13–7-0.0114%11 May →
cache10–13-0.0318%10 May →
inferno10–13-0.0517%8 May →
cache8–13-0.0224%8 May →
dust210–13-0.0114%8 May →

Match data via Leetify.

Recent teammates

Milestones

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

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