Boyka

Boyka — CS2 Stats

76561198263358182[U:1:303092454]Steam profile ↗✓ No bans

2,735Tracked matches58%Win rate2023Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating13,483Blue band · top ~36.4% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 13,483 +386 21 Oct – 2 Nov · 7 days played
13,09714,302peak 14,30221 Oct2 Nov
14,603Peak Premier in tracked matches
13Days played since 2026-10-21

Premier CS Rating

  • 819 below peak (14,302)
  • Next: Purple band at 15,000 — 1,517 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.

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CSDB.GGBoykaPREMIER13,483 · Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–46–10Last 10044%Win rateTTWLLWLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · +28ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 632ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 645ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 631ms

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 (+2.1 against its own average).

Aim2.7
Utility4.9
Positioning3.9
Opening Duels0.7
Clutch1.8

Strong CT-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

ZywOo

Plays most like ZywOo 64% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning3.9
Utility4.9
Mechanics4.3
Opening Duels1.4
Win Impact7.6

Composite 3.7/10 (Learning), 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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time646ms−17ms
first ⅓ avg 662ms → last ⅓ avg 646ms
Headshot accuracy13.8%−2.8%
first ⅓ avg 16.6% → last ⅓ avg 13.8%

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

0.13Best match rating · 13–3 · mirage, 31 Oct →
53%Best headshot accuracy · 5–13 · dust2, 26 Oct →
477msFastest reaction time · 13–8 · inferno, 29 Oct →
13–0Biggest win · inferno, 31 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 100% over 5mirageWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C3715–2241%-0.02
mirageD163–1319%-0.01
anubisC114–736%-0.03
infernoC114–736%-0.01
cacheA117–464%-0.02
ancientS64–267%0.00
nukeS55–0100%-0.01
overpass—21–150%-0.07
train—11–0100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (19% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches
45%Win rate
0.63Avg K/D
49.2ADR
35%Headshot %

Clutches & streaks

29%1v1 clutch win
10%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.8410.3
Nuke333%0.477.0
Inferno333%0.618.0
Ancient333%0.486.7
Anubis333%0.5310.7
Dust22100%0.628.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

13.3%Headshot accuracy
28.6%Accuracy (enemy spotted)
28.7%Spray accuracy
69.3%Counter-strafing
12.0°Preaim
645msReaction time
30.3%T opening success
41.3%CT opening success
0.57Enemies flashed / flash
7.8%Flash assists
8.43HE damage / grenade
5.05Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3359% — below the 15% mark we flag

    Aim Training →
  2. 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 30.2839% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.039%2 Nov →
anubis12–12-0.0315%2 Nov →
train13–3-0.0524%2 Nov →
mirage11–13-0.0416%2 Nov →
inferno3–13-0.0419%2 Nov →
nuke13–7-0.028%2 Nov →
mirage6–13-0.016%2 Nov →
ancient13–60.029%2 Nov →
mirage8–13-0.066%2 Nov →
dust213–9-0.0115%2 Nov →
nuke13–11-0.0310%1 Nov →
inferno11–130.0514%1 Nov →
anubis6–13-0.0214%1 Nov →
anubis13–7-0.075%1 Nov →
dust213–110.0324%1 Nov →
anubis12–12-0.0911%1 Nov →
dust22–13-0.097%31 Oct →
mirage13–30.1322%31 Oct →
mirage16–140.029%31 Oct →
cache13–100.0316%31 Oct →
dust212–16-0.0113%31 Oct →
dust213–8-0.0320%31 Oct →
inferno13–00.043%31 Oct →
ancient7–13-0.0215%31 Oct →
dust211–13-0.0211%30 Oct →
ancient13–70.028%30 Oct →
inferno11–13-0.0423%30 Oct →
dust213–10-0.0416%30 Oct →
dust212–12-0.0317%30 Oct →
anubis13–0-0.0112%30 Oct →
dust211–130.0022%30 Oct →
ancient13–70.0414%29 Oct →
dust27–13-0.0124%29 Oct →
overpass4–13-0.0920%29 Oct →
cache13–00.0010%29 Oct →
inferno13–20.069%29 Oct →
mirage5–13-0.0520%29 Oct →
dust23–13-0.0312%29 Oct →
dust213–11-0.0014%29 Oct →
dust212–12-0.048%29 Oct →
inferno13–8-0.0923%29 Oct →
cache10–13-0.0712%28 Oct →
inferno1–13-0.0623%28 Oct →
mirage11–13-0.062%28 Oct →
dust213–80.0017%28 Oct →
cache5–13-0.036%28 Oct →
mirage9–13-0.0313%28 Oct →
dust26–13-0.0721%28 Oct →
dust212–120.0612%28 Oct →
mirage10–130.019%28 Oct →
dust213–40.0910%28 Oct →
anubis7–130.0315%28 Oct →
mirage9–13-0.0210%28 Oct →
mirage7–13-0.0519%28 Oct →
dust23–13-0.0910%27 Oct →
dust25–13-0.079%27 Oct →
nuke13–8-0.0115%27 Oct →
cache13–9-0.066%27 Oct →
cache1–13-0.0332%27 Oct →
dust213–6-0.0114%27 Oct →
anubis4–13-0.0615%27 Oct →
dust212–12-0.016%27 Oct →
overpass13–6-0.0515%26 Oct →
cache13–7-0.0432%26 Oct →
cache13–10-0.068%26 Oct →
inferno14–16-0.027%26 Oct →
dust25–130.0053%26 Oct →
dust213–11-0.0118%26 Oct →
dust27–130.0518%26 Oct →
mirage8–10.0739%26 Oct →
anubis10–13-0.0018%26 Oct →
dust213–9-0.0818%25 Oct →
dust22–13-0.0415%25 Oct →
dust213–9-0.0412%25 Oct →
dust22–13-0.0324%25 Oct →
dust213–2-0.0225%25 Oct →
anubis13–100.0123%25 Oct →
inferno11–13-0.0210%24 Oct →
anubis13–6-0.008%24 Oct →
dust28–13-0.0214%24 Oct →
dust212–12-0.0116%23 Oct →
mirage7–13-0.0112%22 Oct →
dust213–60.0119%22 Oct →
inferno2–13-0.0116%22 Oct →
dust213–10-0.0211%22 Oct →
nuke13–9-0.0223%22 Oct →
cache13–7-0.0226%22 Oct →
nuke13–40.0311%22 Oct →
mirage5–13-0.0017%22 Oct →
anubis2–13-0.0711%22 Oct →
ancient13–90.0417%22 Oct →
inferno13–60.0216%22 Oct →
dust213–50.0718%22 Oct →
mirage12–120.0222%21 Oct →
cache13–70.0510%21 Oct →
dust26–13-0.0320%21 Oct →
ancient10–13-0.0719%21 Oct →
cache12–120.017%21 Oct →
dust27–13-0.046%21 Oct →
dust24–13-0.0612%21 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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