kisuli (: — CS2 Stats

76561198140686797[U:1:180421069]Steam profile ↗✓ No bans

761Tracked matches45%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating23,778Top 25% of 44,590 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#10267 of 58107 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning56

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateLLWWWTWWWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.3

Aggression7.2

Utility6.2

Positioning5.6

Opening Duels2.2

Clutch1.4

Excellent counter-strafing

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 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 594ms 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

Aim8.3

Positioning5.6

Utility6.2

Mechanics9.1

Opening Duels2.2

Win Impact3.3

Composite 6.6/10 (Solid), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time598ms−17ms

first ⅓ avg 615ms → last ⅓ avg 598ms

Headshot accuracy22.9%+2.5%

first ⅓ avg 20.4% → last ⅓ avg 22.9%

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 — ancient 10–13

13–2Biggest win — dust2

5Longest win streak

L2Current streak

4–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 24% over 33

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	33	8–25	24%	0.00
ancient	C	19	8–11	42%	0.02
cache	B	16	8–8	50%	0.01
nuke	C	16	7–9	44%	0.03
anubis	S	8	6–2	75%	0.03
mirage	C	5	2–3	40%	-0.01
overpass	—	2	0–2	0%	0.04
inferno	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

148Matches

55%Win rate

1.23Avg K/D

84.5ADR

49%Headshot %

Clutches & streaks

27%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	39	72%	1.44	18.6
Dust2	38	53%	1.22	17.8
Anubis	37	57%	1.17	16.8
Ancient	16	38%	1.10	16.0
Mirage	4	25%	1.00	19.0
Inferno	2	0%	0.76	11.5
Train	1	100%	1.17	14.0

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.

23.6%Headshot accuracy

35.2%Accuracy (enemy spotted)

37.5%Spray accuracy

90.8%Counter-strafing

9.5°Preaim

594msReaction time

40.1%T opening success

37.4%CT opening success

0.68Enemies flashed / flash

4.9%Flash assists

13.50HE damage / grenade

10.49Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.362% — below the 40% mark we flag

Spend your practice time on Dust 2

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

24% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	0.04	22%	30 Aug →
dust2	11–13	0.02	38%	30 Aug →
cache	13–4	0.01	26%	30 Aug →
nuke	13–9	0.02	13%	30 Aug →
dust2	13–10	-0.03	20%	30 Aug →
dust2	15–15	0.11	32%	30 Aug →
dust2	13–9	-0.03	21%	29 Aug →
anubis	13–11	-0.00	21%	29 Aug →
ancient	13–7	-0.02	19%	29 Aug →
nuke	10–13	0.08	15%	29 Aug →
dust2	9–13	-0.07	43%	29 Aug →
nuke	9–13	-0.01	22%	29 Aug →
cache	7–13	-0.03	37%	29 Aug →
dust2	2–8	0.03	13%	29 Aug →
mirage	13–5	-0.03	26%	29 Aug →
dust2	13–2	0.04	26%	29 Aug →
dust2	13–5	-0.02	29%	29 Aug →
inferno	5–13	-0.06	5%	29 Aug →
dust2	3–13	-0.08	18%	29 Aug →
cache	13–7	0.08	28%	29 Aug →
dust2	3–13	-0.00	18%	28 Aug →
nuke	9–13	0.02	17%	28 Aug →
ancient	13–5	0.05	33%	28 Aug →
ancient	10–13	0.14	19%	25 Aug →
cache	13–4	0.09	16%	25 Aug →
dust2	7–13	0.01	15%	25 Aug →
nuke	6–13	-0.03	15%	25 Aug →
mirage	7–13	-0.06	27%	24 Aug →
nuke	13–9	0.05	34%	23 Aug →
dust2	6–13	0.07	27%	22 Aug →
ancient	7–13	0.01	19%	22 Aug →
dust2	9–13	-0.08	18%	21 Aug →
dust2	11–13	-0.04	22%	16 Aug →
ancient	14–16	-0.00	28%	16 Aug →
nuke	13–6	0.13	32%	16 Aug →
cache	1–13	-0.05	16%	16 Aug →
dust2	10–13	0.07	22%	16 Aug →
dust2	7–13	0.10	20%	6 Aug →
cache	13–10	0.01	12%	6 Aug →
cache	13–5	0.05	21%	6 Aug →
anubis	13–11	0.04	22%	6 Aug →
mirage	15–15	0.06	21%	6 Aug →
dust2	15–15	0.04	20%	6 Aug →
anubis	4–13	0.03	20%	6 Aug →
ancient	12–16	-0.01	11%	6 Aug →
dust2	8–13	-0.00	17%	6 Aug →
ancient	8–13	0.00	26%	5 Aug →
anubis	13–8	0.00	15%	5 Aug →
ancient	13–10	-0.07	7%	15 Jul →
cache	13–5	0.03	16%	14 Jul →
dust2	3–13	-0.07	10%	14 Jul →
nuke	13–5	0.10	9%	14 Jul →
dust2	13–11	0.04	20%	14 Jul →
nuke	13–16	0.02	31%	13 Jul →
cache	13–10	0.05	21%	13 Jul →
ancient	3–13	0.02	26%	13 Jul →
nuke	3–13	-0.06	19%	13 Jul →
ancient	13–2	0.05	18%	12 Jul →
cache	3–13	0.01	20%	12 Jul →
dust2	10–13	0.06	24%	12 Jul →
dust2	13–8	0.04	27%	12 Jul →
cache	6–13	-0.02	20%	12 Jul →
ancient	13–5	-0.04	31%	12 Jul →
dust2	3–13	-0.05	11%	12 Jul →
cache	9–13	-0.02	21%	12 Jul →
cache	10–13	0.06	24%	12 Jul →
ancient	13–10	0.02	18%	11 Jul →
cache	3–13	-0.06	13%	11 Jul →
nuke	13–16	0.06	14%	11 Jul →
dust2	5–13	-0.07	20%	11 Jul →
dust2	9–13	0.06	20%	11 Jul →
dust2	5–13	0.00	25%	10 Jul →
anubis	3–13	0.01	20%	10 Jul →
cache	5–13	-0.07	26%	10 Jul →
ancient	13–9	0.10	18%	10 Jul →
nuke	13–7	0.07	26%	10 Jul →
cache	13–2	0.09	29%	9 Jul →
nuke	13–7	0.05	19%	9 Jul →
anubis	13–4	0.06	17%	6 Jul →
dust2	11–13	-0.08	17%	6 Jul →
nuke	8–13	-0.01	13%	6 Jul →
nuke	10–13	0.01	13%	5 Jul →
ancient	13–7	0.08	20%	5 Jul →
overpass	10–13	0.07	11%	3 Jul →
anubis	9–2	0.08	32%	3 Jul →
dust2	13–9	0.02	24%	3 Jul →
ancient	8–13	0.02	11%	3 Jul →
dust2	13–9	0.04	16%	3 Jul →
dust2	3–13	-0.01	22%	3 Jul →
anubis	16–14	-0.01	17%	2 Jul →
mirage	13–7	0.03	18%	2 Jul →
overpass	10–13	0.02	20%	1 Jul →
dust2	7–13	-0.01	36%	1 Jul →
dust2	10–13	-0.03	21%	1 Jul →
ancient	6–13	0.00	25%	1 Jul →
ancient	1–13	-0.01	16%	1 Jul →
nuke	13–5	-0.00	25%	29 Jun →
dust2	11–13	-0.00	24%	29 Jun →
mirage	5–13	-0.07	23%	29 Jun →
ancient	4–13	-0.04	23%	29 Jun →