Samsuy — CS2 Stats

FI76561198161481213[U:1:201215485]Steam profile ↗

2,624Tracked matches52%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating27,048Top 10% of 17,162 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#1152 of 26546 tracked

FaceitLevel 10 · 2,654 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning72

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLLLLLTWWWW

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

Player DNA

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

Aim8.2

Aggression10.0

Utility7.1

Positioning7.2

Opening Duels5.0

Clutch3.6

Strong CT-side openerEffective flashes

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 ZywOo 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim8.2

Positioning7.2

Utility7.1

Mechanics6.7

Opening Duels5.0

Win Impact5.6

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time600ms−56ms

first ⅓ avg 656ms → last ⅓ avg 600ms

Headshot accuracy20.2%−1.8%

first ⅓ avg 22.0% → last ⅓ avg 20.2%

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

0.24Best rating — nuke 13–1

13–0Biggest win — ancient

8Longest win streak

L5Current streak

7–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 75% over 20infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	20	15–5	75%	0.02
dust2	A	19	12–7	63%	0.00
nuke	S	15	10–5	67%	0.04
cache	C	14	5–9	36%	0.03
ancient	B	14	7–7	50%	0.00
anubis	S	9	6–3	67%	0.02
inferno	D	7	2–5	29%	-0.01
vertigo	—	1	0–1	0%	-0.01
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

2,519Matches

52%Win rate

1.13Avg K/D

82.9ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

26%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	87	55%	1.15	16.0
Anubis	50	56%	1.27	16.2
Vertigo	39	59%	1.37	18.1
Nuke	39	64%	1.32	18.6
Ancient	39	41%	0.92	15.1
Dust2	21	48%	1.12	16.4
Inferno	15	47%	1.31	19.6
Overpass	5	80%	0.81	16.8

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.

20.4%Headshot accuracy

37.2%Accuracy (enemy spotted)

45.2%Spray accuracy

80.3%Counter-strafing

8.8°Preaim

601msReaction time

39.2%T opening success

60.8%CT opening success

0.79Enemies flashed / flash

8.0%Flash assists

7.90HE damage / grenade

12.71Flashes / 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
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 39.1643% — 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.

29% win rate across 7 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
cache	8–13	-0.02	15%	28 Aug →
ancient	11–13	-0.02	23%	28 Aug →
mirage	10–13	-0.01	18%	28 Aug →
cache	8–13	0.01	24%	27 Aug →
dust2	7–13	-0.07	22%	27 Aug →
inferno	12–12	0.01	15%	27 Aug →
anubis	13–8	0.06	24%	23 Aug →
mirage	13–9	0.04	23%	23 Aug →
cache	13–1	0.13	18%	23 Aug →
nuke	16–12	0.04	18%	23 Aug →
mirage	13–8	0.06	19%	21 Aug →
dust2	20–22	-0.01	18%	21 Aug →
inferno	13–8	0.06	10%	21 Aug →
mirage	13–2	0.01	26%	21 Aug →
ancient	13–6	0.06	20%	21 Aug →
nuke	13–5	0.01	20%	21 Aug →
cache	3–13	-0.06	18%	20 Aug →
nuke	10–13	-0.00	15%	20 Aug →
dust2	7–13	0.02	11%	14 Aug →
ancient	13–8	0.13	18%	14 Aug →
anubis	13–10	0.01	18%	13 Aug →
dust2	13–10	-0.03	22%	13 Aug →
cache	4–13	0.02	25%	12 Aug →
inferno	3–13	0.02	16%	11 Aug →
cache	8–13	0.04	25%	10 Aug →
mirage	19–16	0.06	37%	10 Aug →
inferno	16–19	-0.04	21%	10 Aug →
anubis	9–13	-0.02	15%	10 Aug →
mirage	13–6	0.13	27%	10 Aug →
dust2	13–8	0.06	27%	10 Aug →
mirage	13–5	0.10	24%	9 Aug →
nuke	13–4	-0.01	24%	9 Aug →
anubis	13–8	-0.01	14%	9 Aug →
mirage	1–5	0.00	31%	5 Aug →
vertigo	5–9	-0.01	20%	5 Aug →
ancient	15–15	-0.02	23%	5 Aug →
train	13–7	0.06	21%	5 Aug →
mirage	5–13	-0.08	27%	5 Aug →
inferno	4–4	-0.11	43%	4 Aug →
cache	13–3	0.04	31%	4 Aug →
anubis	13–6	0.08	33%	4 Aug →
ancient	2–13	-0.09	19%	4 Aug →
nuke	10–13	-0.02	19%	4 Aug →
anubis	8–13	-0.02	18%	3 Aug →
ancient	13–7	0.10	22%	3 Aug →
nuke	16–13	0.07	21%	3 Aug →
nuke	13–7	0.00	26%	2 Aug →
dust2	13–11	-0.05	18%	2 Aug →
nuke	13–1	0.24	28%	2 Aug →
mirage	13–10	-0.03	25%	2 Aug →
dust2	7–13	-0.03	13%	2 Aug →
nuke	13–10	0.06	23%	1 Aug →
ancient	12–5	0.03	24%	1 Aug →
dust2	8–13	0.08	40%	1 Aug →
ancient	8–13	-0.02	22%	1 Aug →
mirage	11–13	0.01	27%	1 Aug →
cache	12–16	-0.01	20%	1 Aug →
dust2	13–4	0.04	15%	31 Jul →
ancient	11–13	-0.07	12%	31 Jul →
cache	3–8	-0.03	13%	31 Jul →
dust2	16–13	0.03	14%	31 Jul →
ancient	2–13	-0.06	31%	31 Jul →
inferno	7–13	-0.01	31%	30 Jul →
mirage	13–5	0.00	31%	30 Jul →
anubis	10–13	0.00	24%	30 Jul →
mirage	13–6	0.03	28%	30 Jul →
ancient	13–0	0.08	41%	30 Jul →
inferno	8–13	-0.00	15%	26 Jul →
dust2	9–13	-0.06	5%	26 Jul →
ancient	13–9	0.03	18%	24 Jul →
cache	7–13	0.07	27%	24 Jul →
dust2	13–9	0.03	19%	24 Jul →
dust2	13–3	0.05	21%	24 Jul →
nuke	7–13	-0.01	22%	24 Jul →
dust2	11–13	-0.01	11%	19 Jul →
nuke	11–13	0.01	22%	19 Jul →
mirage	13–4	-0.01	19%	19 Jul →
dust2	16–12	0.02	25%	12 Jul →
nuke	8–13	-0.02	23%	12 Jul →
mirage	13–10	0.13	30%	12 Jul →
cache	16–14	0.05	20%	11 Jul →
cache	13–6	0.03	48%	11 Jul →
dust2	16–12	-0.00	28%	11 Jul →
mirage	13–9	-0.04	22%	11 Jul →
anubis	13–5	0.11	23%	11 Jul →
nuke	13–7	0.07	28%	11 Jul →
mirage	11–13	0.01	20%	10 Jul →
anubis	13–11	-0.03	13%	10 Jul →
dust2	13–10	-0.04	19%	10 Jul →
ancient	5–13	-0.07	34%	10 Jul →
mirage	16–13	0.03	17%	5 Jul →
ancient	13–7	-0.02	26%	5 Jul →
mirage	2–4	-0.02	17%	5 Jul →
dust2	13–9	0.03	18%	5 Jul →
dust2	13–11	0.00	29%	4 Jul →
nuke	13–6	0.04	23%	4 Jul →
mirage	13–11	0.01	15%	4 Jul →
cache	13–4	0.13	19%	3 Jul →
cache	10–13	0.01	30%	2 Jul →
nuke	13–8	0.09	23%	28 Jun →