kaiN — CS2 Stats

76561198067849120[U:1:107583392]✓ No bans

488Tracked matches63%Win rate2022Tracked since

CSDB Rating6.6 SolidClutch Specialist

Premier CS Rating16,263Purple band · top ~23.4% of ranked players (population est.)

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning60

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWWWTTWLLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim7.8

Aggression6.4

Utility4.0

Positioning6.0

Opening Duels2.7

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 610ms 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

Aim7.8

Positioning6.0

Utility4.0

Mechanics8.1

Opening Duels2.7

Win Impact9.3

Composite 6.6/10 (Solid), 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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time611ms−2ms

first ⅓ avg 613ms → last ⅓ avg 611ms

Headshot accuracy20.4%+1.2%

first ⅓ avg 19.2% → last ⅓ avg 20.4%

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

0.11Best rating — overpass 13–6

13–2Biggest win — overpass

8Longest win streak

6–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 88% over 16infernoWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	19	12–7	63%	0.02
overpass	S	16	14–2	88%	0.03
inferno	D	15	4–11	27%	-0.00
ancient	B	15	7–8	47%	-0.00
anubis	B	13	7–6	54%	-0.01
dust2	B	13	6–7	46%	-0.01
mirage	—	4	1–3	25%	-0.02
train	—	2	1–1	50%	-0.02
vertigo	—	1	0–1	0%	0.02
office	—	1	0–1	0%	-0.05
cache	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches

56%Win rate

0.99Avg K/D

83.4ADR

52%Headshot %

Clutches & streaks

100%1v1 clutch win

75%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	10	60%	0.89	15.9
Ancient	8	38%	1.03	16.4
Anubis	6	33%	1.25	16.0
Cache	5	80%	1.01	15.8
Nuke	4	50%	0.84	13.8
Mirage	4	100%	0.81	16.3
Dust2	3	67%	1.27	15.3
Inferno	2	0%	0.67	11.5

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.

20.7%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.6%Spray accuracy

86.6%Counter-strafing

8.9°Preaim

610msReaction time

39.2%T opening success

42.5%CT opening success

0.49Enemies flashed / flash

1.3%Flash assists

9.82HE damage / grenade

4.35Flashes / 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.

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 0.4919 — 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 39.2396% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	-0.04	22%	5 Jul →
nuke	13–5	0.06	19%	5 Jul →
inferno	13–8	-0.02	18%	2 Jul →
ancient	13–11	0.05	14%	2 Jul →
anubis	15–15	-0.01	16%	2 Jul →
vertigo	12–12	0.02	20%	2 Jul →
mirage	13–8	-0.02	16%	28 Jun →
dust2	7–13	0.02	14%	28 Jun →
inferno	10–13	0.01	23%	28 Jun →
overpass	13–6	0.02	30%	26 Jun →
ancient	9–13	-0.03	15%	26 Jun →
dust2	13–7	0.02	30%	26 Jun →
nuke	7–13	-0.01	17%	25 Jun →
mirage	11–13	-0.05	21%	25 Jun →
nuke	13–6	0.02	23%	24 Jun →
anubis	13–5	-0.00	21%	24 Jun →
ancient	13–9	0.10	19%	23 Jun →
nuke	13–9	-0.02	23%	23 Jun →
overpass	13–3	-0.03	24%	23 Jun →
nuke	13–11	0.00	10%	23 Jun →
anubis	13–6	0.06	33%	23 Jun →
ancient	13–8	-0.02	14%	23 Jun →
inferno	7–13	-0.04	13%	23 Jun →
overpass	13–4	0.10	20%	23 Jun →
overpass	13–7	0.02	20%	22 Jun →
dust2	10–13	-0.01	27%	22 Jun →
ancient	13–4	0.01	17%	22 Jun →
train	6–13	0.02	40%	22 Jun →
inferno	9–13	0.01	40%	22 Jun →
nuke	15–15	-0.02	13%	22 Jun →
anubis	3–13	-0.05	15%	22 Jun →
overpass	13–7	0.08	16%	22 Jun →
anubis	13–8	0.06	11%	22 Jun →
dust2	9–13	0.03	16%	22 Jun →
inferno	8–13	-0.02	18%	22 Jun →
dust2	13–5	-0.00	11%	22 Jun →
overpass	10–1	-0.01	14%	22 Jun →
ancient	7–13	-0.05	19%	21 Jun →
anubis	13–16	-0.04	14%	21 Jun →
mirage	11–13	-0.02	6%	21 Jun →
dust2	7–13	-0.01	15%	21 Jun →
inferno	14–16	-0.03	15%	21 Jun →
anubis	13–7	-0.06	20%	21 Jun →
nuke	10–13	-0.01	16%	21 Jun →
ancient	9–13	0.02	18%	20 Jun →
anubis	1–13	-0.07	22%	20 Jun →
inferno	11–13	0.02	15%	20 Jun →
overpass	13–2	-0.02	12%	20 Jun →
overpass	10–13	-0.05	22%	20 Jun →
dust2	13–7	-0.06	19%	20 Jun →
nuke	7–13	-0.04	10%	20 Jun →
dust2	13–3	0.02	33%	20 Jun →
office	4–13	-0.05	13%	20 Jun →
train	13–6	-0.07	22%	20 Jun →
mirage	14–16	0.03	17%	19 Jun →
ancient	13–8	-0.04	11%	18 Jun →
nuke	13–4	0.02	26%	18 Jun →
nuke	13–11	0.09	21%	18 Jun →
ancient	5–13	-0.01	14%	18 Jun →
overpass	16–12	0.05	7%	17 Jun →
nuke	13–9	0.03	21%	17 Jun →
inferno	8–13	0.00	9%	17 Jun →
anubis	13–4	0.01	18%	16 Jun →
ancient	8–13	-0.05	19%	16 Jun →
nuke	7–13	0.11	30%	16 Jun →
overpass	13–6	0.11	22%	16 Jun →
nuke	9–4	0.01	19%	16 Jun →
dust2	13–10	-0.00	26%	15 Jun →
ancient	13–16	0.04	22%	15 Jun →
anubis	15–15	-0.04	12%	14 Jun →
overpass	13–10	0.01	22%	14 Jun →
dust2	10–13	-0.03	18%	14 Jun →
inferno	13–11	0.03	23%	14 Jun →
ancient	13–4	-0.02	26%	9 Jun →
nuke	13–7	0.01	33%	9 Jun →
inferno	13–11	0.06	15%	7 Jun →
overpass	13–9	0.07	18%	7 Jun →
overpass	13–9	-0.01	18%	7 Jun →
nuke	13–2	-0.00	17%	7 Jun →
dust2	3–13	-0.05	16%	7 Jun →
anubis	8–2	0.07	18%	7 Jun →
nuke	13–2	0.08	16%	7 Jun →
overpass	13–8	-0.02	18%	7 Jun →
inferno	7–13	-0.03	8%	5 Jun →
ancient	7–13	-0.04	17%	5 Jun →
overpass	13–7	0.04	19%	5 Jun →
anubis	13–2	0.03	16%	5 Jun →
nuke	13–11	0.03	20%	5 Jun →
overpass	4–13	0.04	16%	5 Jun →
nuke	13–16	-0.05	18%	4 Jun →
ancient	13–10	0.03	23%	4 Jun →
dust2	11–13	-0.01	17%	4 Jun →
inferno	7–13	-0.08	24%	4 Jun →
inferno	13–7	0.10	18%	3 Jun →
dust2	13–8	0.01	21%	3 Jun →
nuke	11–13	0.05	20%	3 Jun →
inferno	11–13	-0.05	14%	2 Jun →
ancient	8–13	0.01	17%	1 Jun →
cache	11–13	-0.01	17%	31 May →
inferno	1–13	0.03	31%	31 May →