kangal[KiN] — CS2 Stats

CA76561197960410225[U:1:144497]Steam profile ↗

378Tracked matches59%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating10,458Blue band · top ~52.5% of ranked players (population est.)

CSDB Leaderboard#12268 of 16832 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67

Positioning58

Utility35

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLLWLWLLLWL

Last 10 vs previous 10: -50pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression8.4

Utility3.5

Positioning5.8

Opening Duels3.2

Limited 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.

Your pro match

Plays most like b1t 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 620ms 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

Aim6.7

Positioning5.8

Utility3.5

Mechanics7.8

Opening Duels3.2

Win Impact7.9

Composite 5.7/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time636ms+14ms

first ⅓ avg 622ms → last ⅓ avg 636ms

Headshot accuracy13.6%+1.0%

first ⅓ avg 12.5% → last ⅓ avg 13.6%

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.

Highlights

0.19Best rating — cache 13–1

13–1Biggest win — cache

5Longest win streak

L2Current streak

9–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 85% over 13anubisWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	0.01
dust2	S	15	11–4	73%	0.02
cache	B	14	7–7	50%	0.04
ancient	B	13	6–7	46%	-0.00
nuke	S	13	11–2	85%	0.05
anubis	D	13	4–9	31%	-0.01
inferno	B	6	3–3	50%	0.03
train	—	2	1–1	50%	0.03
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). 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.

14.0%Headshot accuracy

38.0%Accuracy (enemy spotted)

34.1%Spray accuracy

85.0%Counter-strafing

10.3°Preaim

620msReaction time

37.4%T opening success

47.9%CT opening success

0.42Enemies flashed / flash

9.7%Flash assists

11.25HE damage / grenade

1.58Flashes / 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.

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 14.0119% — below the 15% mark we flag
Aim Training →
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 0.42 — below the 0.5 mark we flag
Grenade Lineups →
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 37.394% — below the 40% mark we flag

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.

31% win rate across 13 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
ancient	10–13	-0.01	22%	28 Aug →
inferno	6–13	-0.02	10%	28 Aug →
cache	13–1	0.19	16%	28 Aug →
mirage	8–13	0.02	9%	28 Aug →
nuke	13–7	0.13	18%	28 Aug →
mirage	9–13	0.08	13%	28 Aug →
cache	12–16	0.01	16%	28 Aug →
ancient	4–13	-0.07	16%	28 Aug →
inferno	13–9	-0.03	10%	28 Aug →
mirage	5–13	-0.09	9%	28 Aug →
dust2	13–8	0.02	20%	28 Aug →
anubis	11–13	-0.01	22%	28 Aug →
anubis	13–6	-0.02	9%	28 Aug →
anubis	13–10	0.02	16%	28 Aug →
dust2	16–14	-0.02	14%	28 Aug →
mirage	13–6	0.06	17%	27 Aug →
mirage	10–13	0.04	24%	27 Aug →
cache	13–6	0.04	10%	27 Aug →
ancient	13–3	0.16	3%	27 Aug →
mirage	13–7	-0.02	8%	27 Aug →
inferno	9–13	0.01	14%	27 Aug →
mirage	13–1	0.03	8%	27 Aug →
nuke	2–0	0.03	0%	27 Aug →
cache	9–13	-0.02	14%	27 Aug →
cache	4–13	0.06	11%	27 Aug →
nuke	13–8	-0.01	12%	27 Aug →
anubis	13–3	0.15	14%	27 Aug →
dust2	13–7	0.07	16%	27 Aug →
mirage	15–15	0.01	14%	27 Aug →
mirage	13–10	-0.03	13%	27 Aug →
ancient	7–13	0.01	15%	27 Aug →
mirage	13–4	-0.00	17%	27 Aug →
nuke	16–14	0.03	16%	27 Aug →
cache	13–6	0.04	5%	27 Aug →
mirage	2–13	-0.01	8%	27 Aug →
inferno	12–12	0.09	15%	27 Aug →
mirage	7–13	-0.02	12%	26 Aug →
mirage	11–0	0.04	19%	26 Aug →
cache	13–10	0.04	8%	24 Aug →
mirage	11–13	-0.04	15%	24 Aug →
anubis	10–13	-0.02	11%	24 Aug →
ancient	8–13	0.00	4%	24 Aug →
nuke	13–11	0.01	5%	23 Aug →
nuke	9–5	0.10	5%	23 Aug →
ancient	11–13	-0.04	10%	23 Aug →
anubis	5–13	-0.04	7%	23 Aug →
mirage	1–7	-0.07	0%	23 Aug →
dust2	3–10	-0.00	10%	23 Aug →
ancient	3–13	-0.03	11%	23 Aug →
cache	13–5	0.06	8%	23 Aug →
cache	8–13	-0.01	18%	23 Aug →
ancient	13–9	0.01	10%	23 Aug →
nuke	9–1	0.10	18%	23 Aug →
mirage	6–13	0.02	8%	23 Aug →
mirage	10–0	0.15	11%	23 Aug →
vertigo	13–8	0.09	7%	23 Aug →
nuke	8–8	0.08	13%	23 Aug →
train	13–4	0.11	13%	23 Aug →
ancient	7–13	-0.04	11%	23 Aug →
dust2	13–11	-0.03	13%	23 Aug →
dust2	13–3	0.03	15%	23 Aug →
anubis	11–13	-0.04	8%	23 Aug →
nuke	13–9	0.07	13%	23 Aug →
dust2	13–2	0.03	26%	23 Aug →
mirage	15–15	-0.04	12%	23 Aug →
dust2	13–11	-0.02	8%	22 Aug →
mirage	13–7	0.01	13%	22 Aug →
dust2	7–2	0.06	33%	22 Aug →
anubis	3–13	-0.02	20%	22 Aug →
mirage	13–7	0.02	13%	21 Aug →
ancient	13–8	0.04	10%	14 Aug →
anubis	14–16	-0.02	12%	14 Aug →
dust2	0–13	-0.07	20%	14 Aug →
mirage	3–13	-0.06	13%	14 Aug →
anubis	10–13	-0.05	4%	14 Aug →
ancient	13–7	-0.01	10%	14 Aug →
anubis	13–1	0.03	18%	14 Aug →
cache	4–13	-0.01	18%	14 Aug →
ancient	13–10	-0.04	6%	14 Aug →
train	5–13	-0.04	11%	13 Aug →
mirage	7–13	0.02	14%	13 Aug →
nuke	13–6	0.09	12%	13 Aug →
dust2	13–11	0.07	11%	13 Aug →
dust2	13–3	0.07	16%	13 Aug →
nuke	10–13	-0.00	11%	13 Aug →
ancient	13–11	0.01	12%	13 Aug →
mirage	16–14	0.07	15%	11 Aug →
inferno	13–10	0.02	10%	9 Aug →
dust2	4–12	-0.02	16%	9 Aug →
cache	8–13	0.02	13%	8 Aug →
nuke	13–6	0.03	11%	8 Aug →
nuke	13–10	0.05	9%	8 Aug →
cache	13–10	-0.01	9%	8 Aug →
inferno	13–5	0.08	0%	8 Aug →
dust2	13–6	0.02	16%	8 Aug →
cache	3–13	-0.01	11%	8 Aug →
cache	13–2	0.11	8%	8 Aug →
dust2	7–13	0.03	11%	8 Aug →
anubis	8–13	-0.06	4%	8 Aug →
anubis	13–16	-0.03	15%	8 Aug →