Kai — CS2 Stats

76561198213369871[U:1:253104143]Steam profile ↗✓ No bans

412Tracked matches57%Win rate2021Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating20,111Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#21907 of 59538 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning51

Utility21

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateLLWWLTLWLL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

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

Aim6.6

Aggression7.3

Utility2.1

Positioning5.1

Opening Duels2.8

Clutch0.0

Strong CT-side openerLimited 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 ropz 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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.

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms 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

Aim6.6

Positioning5.1

Utility2.1

Mechanics6.3

Opening Duels2.8

Win Impact7.4

Composite 5.4/10 (Developing), 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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time680ms+66ms

first ⅓ avg 614ms → last ⅓ avg 680ms

Headshot accuracy28.5%−5.1%

first ⅓ avg 33.6% → last ⅓ avg 28.5%

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

0.14Best rating — mirage 13–1

13–0Biggest win — vertigo

6Longest win streak

L2Current streak

7–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 61% over 18nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	-0.00
mirage	A	18	11–7	61%	-0.01
office	C	16	6–10	38%	-0.03
cache	C	14	5–9	36%	-0.02
nuke	D	7	2–5	29%	0.01
anubis	A	7	4–3	57%	-0.00
ancient	—	4	2–2	50%	-0.04
vertigo	—	3	2–1	67%	0.04
inferno	—	3	2–1	67%	-0.01
train	—	3	1–2	33%	0.01
overpass	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

68Matches

56%Win rate

1.08Avg K/D

50.9ADR

52%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

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.

28.5%Headshot accuracy

31.0%Accuracy (enemy spotted)

34.7%Spray accuracy

78.3%Counter-strafing

10.3°Preaim

677msReaction time

33.2%T opening success

49.3%CT opening success

0.37Enemies flashed / flash

2.2%Flash assists

4.78HE damage / grenade

4.20Flashes / 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 0.3731 — 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 33.1824% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	-0.04	33%	22 Aug →
nuke	3–13	-0.02	28%	22 Aug →
anubis	13–4	-0.01	26%	19 Aug →
mirage	13–7	-0.03	29%	19 Aug →
mirage	6–13	-0.05	30%	8 Aug →
dust2	12–12	-0.01	17%	8 Aug →
mirage	9–13	-0.05	28%	8 Aug →
dust2	13–10	0.10	31%	8 Aug →
cache	11–13	-0.06	33%	8 Aug →
cache	9–13	-0.07	22%	4 Aug →
dust2	13–6	0.00	18%	4 Aug →
vertigo	13–0	0.10	33%	4 Aug →
cache	10–13	-0.05	17%	13 Jul →
mirage	13–11	-0.02	28%	13 Jul →
dust2	3–13	-0.05	43%	13 Jul →
office	13–10	0.01	33%	13 Jul →
cache	13–11	-0.03	28%	10 Jul →
mirage	13–9	-0.05	40%	10 Jul →
dust2	13–6	0.01	32%	10 Jul →
office	13–3	-0.04	44%	10 Jul →
cache	13–11	-0.05	26%	5 Jul →
cache	12–12	-0.03	30%	5 Jul →
dust2	13–6	0.12	42%	5 Jul →
dust2	13–10	0.01	30%	5 Jul →
ancient	8–13	-0.04	15%	3 Jul →
mirage	13–6	0.01	13%	3 Jul →
dust2	9–13	-0.04	31%	3 Jul →
nuke	7–13	-0.02	33%	3 Jul →
dust2	13–6	0.03	26%	3 Jul →
mirage	10–13	-0.06	26%	3 Jul →
anubis	12–16	-0.01	34%	2 Jul →
anubis	13–9	0.00	18%	2 Jul →
inferno	7–13	-0.05	23%	2 Jul →
anubis	13–5	-0.03	25%	2 Jul →
nuke	13–4	-0.02	15%	2 Jul →
mirage	13–11	-0.01	15%	2 Jul →
cache	7–13	0.00	22%	27 Jun →
dust2	8–13	-0.02	27%	27 Jun →
office	6–13	-0.07	19%	27 Jun →
dust2	13–4	0.01	33%	27 Jun →
mirage	13–9	-0.02	23%	27 Jun →
cache	13–8	-0.02	38%	23 Jun →
dust2	13–6	-0.04	38%	23 Jun →
train	5–13	-0.03	38%	23 Jun →
cache	12–12	0.01	29%	8 Jun →
cache	12–12	0.03	31%	16 May →
dust2	13–9	-0.02	28%	16 May →
office	3–13	-0.07	35%	16 May →
office	0–5	-0.13	25%	16 May →
office	7–13	-0.07	54%	16 May →
office	2–13	0.00	29%	16 May →
ancient	13–7	-0.06	18%	16 May →
dust2	9–13	0.04	42%	16 May →
cache	13–10	0.01	23%	10 May →
cache	13–5	0.01	21%	10 May →
dust2	11–13	-0.05	56%	6 May →
office	12–12	-0.02	75%	6 May →
mirage	16–12	-0.01	17%	6 May →
cache	6–13	-0.03	36%	6 May →
inferno	13–8	0.02	56%	3 May →
ancient	10–13	-0.02	17%	3 May →
dust2	13–6	-0.04	40%	3 May →
nuke	8–13	-0.06	35%	3 May →
anubis	13–5	0.01	28%	3 May →
dust2	3–13	-0.00	39%	3 May →
cache	2–13	-0.06	38%	29 Apr →
inferno	13–6	-0.01	33%	23 Apr →
nuke	10–13	0.07	27%	23 Apr →
office	7–4	0.09	100%	23 Apr →
dust2	13–8	-0.05	50%	23 Apr →
overpass	0–4	-0.02	0%	23 Apr →
mirage	10–13	0.01	62%	22 Apr →
dust2	12–12	0.01	19%	22 Apr →
office	12–12	-0.06	25%	22 Apr →
train	13–4	0.04	17%	22 Apr →
train	12–12	0.01	31%	22 Apr →
mirage	5–13	-0.05	25%	19 Apr →
mirage	6–13	-0.02	14%	19 Apr →
dust2	10–13	0.02	21%	19 Apr →
ancient	13–3	-0.03	13%	19 Apr →
overpass	13–11	-0.02	32%	19 Apr →
dust2	9–13	-0.00	24%	19 Apr →
dust2	6–13	0.02	29%	16 Apr →
mirage	13–11	0.04	23%	16 Apr →
office	10–13	0.05	20%	10 Apr →
office	13–10	0.03	75%	8 Apr →
anubis	11–13	0.02	33%	8 Apr →
mirage	13–5	0.00	41%	8 Apr →
vertigo	13–3	0.09	67%	8 Apr →
vertigo	6–13	-0.06	39%	8 Apr →
office	12–12	-0.07	44%	5 Apr →
nuke	11–13	-0.01	29%	5 Apr →
mirage	13–1	0.14	38%	5 Apr →
office	13–9	-0.00	24%	4 Apr →
nuke	13–3	0.10	21%	4 Apr →
mirage	13–6	0.08	26%	3 Apr →
anubis	10–13	-0.02	32%	31 Mar →
dust2	13–8	-0.08	42%	30 Mar →
office	7–13	-0.11	25%	30 Mar →
office	4–2	0.00	42%	30 Mar →