𝗜𝗡𝗩 | ♱y` ☠ BoyKa — CS2 Stats

PT76561199031291704[U:1:1071025976]Steam profile ↗✓ No bans

2,064Tracked matches50%Win rate2020Tracked since

CSDB Rating5.3 DevelopingSupport

Premier CS Rating19,398Top 50% of 203,257 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)

CSDB Leaderboard#90564 of 250492 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+538Premier CS Rating · 18,860 → 19,398

Rating over time

Premier CS Rating: 19,398 +663 25 Aug – 7 Oct · 38 days played

19,465Peak Premier in tracked matches

37Days played since 2026-08-25

Premier CS Rating

At peak — 19,398
+3,001 over 30 days · improving
Next: Pink band at 20,000 — 602 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-02
Blue band first seen 2026-09-02

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

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Performance scores

Aim46

Positioning61

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWWLWLWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.6pp headshot accuracy · +6ms 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 16%
Avg reaction 586ms

Last 10

6–4 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 653ms

Last 20

11–9 · 55% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 650ms

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 (+1.2 against its own average).

Aim4.6

Utility6.8

Positioning6.1

Opening Duels3.9

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

Plays most like jL 65% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.6

Positioning6.1

Utility6.8

Mechanics3.6

Opening Duels6.7

Win Impact5.0

Composite 5.3/10 (Developing), 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 rating0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time654ms−18ms

first ⅓ avg 672ms → last ⅓ avg 654ms

Headshot accuracy17.6%−0.7%

first ⅓ avg 18.4% → last ⅓ avg 17.6%

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

0.19Best match rating · 13–0 · dust2, 24 Sept →

36%Best headshot accuracy · 13–11 · mirage, 10 Sept →

438msFastest reaction time · 3–13 · anubis, 28 Sept →

13–0Biggest win · dust2, 24 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

9–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 64% over 11anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	18–17	51%	-0.01
dust2	B	20	9–11	45%	0.02
ancient	A	12	7–5	58%	0.02
cache	A	11	7–4	64%	-0.00
inferno	D	10	3–7	30%	-0.00
nuke	C	7	3–4	43%	-0.01
anubis	D	5	0–5	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis 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.

18.0%Headshot accuracy

32.8%Accuracy (enemy spotted)

34.3%Spray accuracy

66.0%Counter-strafing

10.6°Preaim

649msReaction time

58.7%T opening success

55.0%CT opening success

0.66Enemies flashed / flash

11.7%Flash assists

8.72HE damage / grenade

13.39Flashes / match

Recommended for you

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.05	20%	7 Oct →
inferno	10–13	-0.02	20%	7 Oct →
mirage	13–5	-0.03	16%	7 Oct →
ancient	16–14	-0.01	14%	6 Oct →
mirage	10–13	-0.04	10%	6 Oct →
mirage	8–1	0.02	6%	6 Oct →
inferno	6–13	-0.03	20%	6 Oct →
dust2	16–12	-0.06	14%	3 Oct →
nuke	7–13	-0.01	20%	2 Oct →
cache	13–7	-0.04	25%	2 Oct →
dust2	4–13	-0.01	16%	1 Oct →
mirage	13–7	0.06	13%	1 Oct →
anubis	3–13	0.01	9%	1 Oct →
ancient	13–8	0.02	24%	1 Oct →
dust2	7–4	-0.02	6%	1 Oct →
mirage	13–7	0.06	16%	1 Oct →
cache	10–13	0.00	18%	30 Sept →
dust2	9–13	0.01	25%	30 Sept →
cache	7–13	-0.04	20%	30 Sept →
inferno	13–7	-0.00	26%	29 Sept →
mirage	13–5	0.00	10%	29 Sept →
ancient	13–11	0.04	15%	29 Sept →
anubis	10–13	-0.04	30%	28 Sept →
mirage	3–13	0.05	12%	28 Sept →
inferno	8–13	0.06	24%	28 Sept →
anubis	3–13	0.05	14%	28 Sept →
mirage	13–9	-0.01	15%	27 Sept →
dust2	8–13	-0.02	18%	26 Sept →
dust2	5–13	-0.05	21%	26 Sept →
inferno	13–11	0.09	26%	25 Sept →
nuke	8–13	-0.02	35%	25 Sept →
nuke	13–6	0.07	18%	24 Sept →
ancient	13–9	0.01	6%	24 Sept →
cache	8–13	0.01	27%	24 Sept →
mirage	10–13	-0.04	22%	24 Sept →
dust2	13–0	0.19	31%	24 Sept →
mirage	13–10	0.05	35%	23 Sept →
dust2	13–11	-0.01	25%	23 Sept →
cache	13–11	0.01	34%	22 Sept →
dust2	13–8	0.08	22%	21 Sept →
mirage	13–11	-0.01	22%	21 Sept →
nuke	13–2	0.02	19%	21 Sept →
mirage	9–13	-0.03	10%	19 Sept →
dust2	13–8	-0.00	12%	19 Sept →
cache	13–9	0.03	11%	19 Sept →
ancient	1–10	-0.06	9%	18 Sept →
mirage	13–11	-0.05	11%	17 Sept →
mirage	11–13	-0.00	6%	17 Sept →
inferno	7–13	0.08	18%	17 Sept →
dust2	15–15	0.07	9%	17 Sept →
dust2	11–13	0.04	32%	17 Sept →
cache	5–13	-0.06	14%	16 Sept →
dust2	13–8	0.01	21%	16 Sept →
mirage	13–16	-0.00	13%	16 Sept →
mirage	11–13	0.04	17%	16 Sept →
dust2	11–13	0.08	19%	15 Sept →
nuke	3–13	-0.03	12%	14 Sept →
cache	13–10	0.01	18%	14 Sept →
cache	13–6	0.04	14%	14 Sept →
mirage	7–13	-0.07	15%	14 Sept →
ancient	13–3	0.07	14%	14 Sept →
inferno	0–13	-0.06	9%	14 Sept →
ancient	13–3	-0.04	16%	14 Sept →
mirage	10–13	0.01	11%	13 Sept →
mirage	13–3	-0.03	4%	12 Sept →
dust2	8–13	0.10	12%	12 Sept →
dust2	10–13	-0.01	21%	11 Sept →
inferno	6–13	-0.01	29%	11 Sept →
dust2	11–13	0.02	29%	11 Sept →
mirage	13–7	0.02	23%	11 Sept →
inferno	13–9	-0.06	7%	10 Sept →
mirage	13–11	-0.02	36%	10 Sept →
mirage	11–13	0.00	32%	6 Sept →
dust2	13–3	-0.04	11%	6 Sept →
mirage	13–7	-0.10	5%	5 Sept →
ancient	14–16	0.06	18%	4 Sept →
ancient	16–14	0.07	14%	4 Sept →
cache	13–5	-0.03	14%	3 Sept →
mirage	7–13	-0.05	13%	1 Sept →
anubis	3–5	0.03	8%	1 Sept →
ancient	15–15	0.05	29%	1 Sept →
mirage	7–13	-0.08	11%	31 Aug →
dust2	5–13	-0.03	18%	30 Aug →
ancient	7–13	-0.03	17%	30 Aug →
inferno	13–16	-0.07	13%	30 Aug →
ancient	15–15	0.06	18%	30 Aug →
mirage	3–13	-0.02	26%	30 Aug →
mirage	10–13	0.03	23%	29 Aug →
dust2	13–5	0.13	24%	29 Aug →
mirage	13–9	-0.05	19%	29 Aug →
mirage	9–13	-0.01	24%	28 Aug →
mirage	7–13	-0.05	21%	28 Aug →
nuke	2–13	-0.08	0%	27 Aug →
anubis	8–13	-0.01	13%	26 Aug →
mirage	13–1	-0.01	17%	26 Aug →
mirage	13–4	0.06	11%	26 Aug →
nuke	13–9	-0.01	15%	25 Aug →
mirage	13–7	-0.01	16%	25 Aug →
mirage	9–13	-0.04	24%	25 Aug →
cache	13–7	0.03	30%	25 Aug →