Samura1_Sam — CS2 Stats

76561198096054849[U:1:135789121]

1,497Tracked matches59%Win rate2020Tracked since

CSDB Rating4.6 Developing

Premier CS Rating11,531Blue band · top ~46.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim40

Positioning54

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateTWWLLWWLLW

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

Player DNA

Aim4.0

Aggression4.7

Utility6.8

Positioning5.4

Opening Duels1.4

Clutch1.8

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 NiKo 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0

Positioning5.4

Utility6.8

Mechanics4.0

Opening Duels1.7

Win Impact7.9

Composite 4.6/10 (Developing), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time576ms−66ms

first ⅓ avg 642ms → last ⅓ avg 576ms

Headshot accuracy12.2%−1.6%

first ⅓ avg 13.8% → last ⅓ avg 12.2%

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

0.14Best rating — nuke 8–13

13–0Biggest win — cache

5Longest win streak

7–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 64% over 11nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	22–13	63%	0.00
mirage	C	25	9–16	36%	-0.00
cache	A	11	7–4	64%	-0.01
inferno	B	10	5–5	50%	-0.03
ancient	B	8	4–4	50%	0.01
nuke	D	6	1–5	17%	0.02
anubis	C	5	2–3	40%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

87Matches

44%Win rate

0.89Avg K/D

67.0ADR

39%Headshot %

Clutches & streaks

29%1v1 clutch win

12%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	38%	0.99	14.3
Dust2	22	36%	0.80	10.9
Nuke	12	50%	0.97	13.5
Inferno	11	36%	0.79	13.1
Ancient	7	57%	0.81	12.0
Anubis	5	60%	0.89	11.4
Train	1	100%	1.18	13.0
Cache	1	0%	1.08	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.

12.9%Headshot accuracy

30.6%Accuracy (enemy spotted)

34.5%Spray accuracy

68.0%Counter-strafing

11.7°Preaim

581msReaction time

27.3%T opening success

43.9%CT opening success

0.60Enemies flashed / flash

7.6%Flash assists

12.27HE damage / grenade

19.26Flashes / 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 12.9227% — below the 15% mark we flag
Aim Training →
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 27.2959% — 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.

17% win rate across 6 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
dust2	12–12	-0.03	17%	28 Aug →
mirage	13–7	0.02	5%	28 Aug →
mirage	13–8	0.04	19%	27 Aug →
cache	7–13	0.02	15%	27 Aug →
mirage	9–13	-0.04	21%	26 Aug →
cache	13–9	-0.01	6%	26 Aug →
dust2	13–4	0.06	13%	24 Aug →
nuke	9–13	-0.03	12%	23 Aug →
cache	0–6	-0.07	0%	23 Aug →
cache	13–10	-0.03	16%	23 Aug →
inferno	6–13	-0.04	9%	22 Aug →
dust2	11–13	0.02	27%	22 Aug →
dust2	13–3	0.00	18%	21 Aug →
mirage	13–3	0.06	17%	21 Aug →
dust2	13–5	0.06	18%	21 Aug →
ancient	11–13	0.01	10%	21 Aug →
dust2	10–13	0.02	10%	21 Aug →
anubis	13–8	0.09	12%	21 Aug →
dust2	13–8	0.02	7%	20 Aug →
ancient	13–4	0.03	10%	20 Aug →
mirage	3–13	0.01	6%	20 Aug →
mirage	3–13	-0.02	9%	19 Aug →
dust2	13–4	-0.02	17%	19 Aug →
dust2	9–13	0.03	12%	18 Aug →
mirage	13–5	-0.03	12%	18 Aug →
mirage	9–13	0.01	14%	17 Aug →
inferno	13–9	0.01	7%	17 Aug →
mirage	13–10	-0.01	16%	17 Aug →
dust2	13–6	-0.01	12%	17 Aug →
mirage	13–4	0.02	11%	17 Aug →
inferno	13–9	0.00	15%	16 Aug →
ancient	15–15	0.09	11%	16 Aug →
dust2	7–13	-0.07	2%	16 Aug →
cache	13–11	-0.01	14%	15 Aug →
ancient	7–13	-0.01	6%	15 Aug →
anubis	13–7	0.00	8%	15 Aug →
dust2	13–5	0.00	14%	15 Aug →
dust2	13–10	-0.04	11%	14 Aug →
inferno	15–15	-0.03	18%	14 Aug →
cache	0–5	-0.06	33%	13 Aug →
dust2	13–3	-0.04	13%	13 Aug →
dust2	13–7	0.06	8%	12 Aug →
cache	8–13	-0.01	17%	11 Aug →
mirage	8–13	-0.02	7%	11 Aug →
inferno	10–13	-0.03	15%	11 Aug →
dust2	13–7	0.03	14%	11 Aug →
ancient	13–8	0.02	16%	11 Aug →
inferno	13–8	-0.04	8%	11 Aug →
dust2	11–13	-0.00	5%	11 Aug →
mirage	8–13	-0.03	18%	11 Aug →
mirage	4–13	-0.09	16%	11 Aug →
cache	13–0	0.06	12%	10 Aug →
inferno	3–13	-0.11	5%	9 Aug →
dust2	13–8	0.02	9%	9 Aug →
dust2	13–10	0.04	13%	9 Aug →
mirage	8–13	-0.01	20%	9 Aug →
inferno	15–15	-0.04	8%	8 Aug →
dust2	13–6	-0.00	9%	7 Aug →
cache	13–9	0.02	11%	7 Aug →
anubis	11–13	-0.06	7%	5 Aug →
dust2	13–11	0.01	14%	5 Aug →
dust2	13–11	0.04	21%	5 Aug →
dust2	13–6	-0.05	3%	5 Aug →
dust2	5–13	-0.03	13%	4 Aug →
cache	13–11	-0.02	9%	4 Aug →
dust2	13–4	0.06	10%	3 Aug →
mirage	13–1	0.06	25%	3 Aug →
dust2	13–6	0.00	7%	3 Aug →
dust2	4–13	-0.05	16%	3 Aug →
nuke	3–13	-0.06	3%	3 Aug →
ancient	13–4	0.01	20%	3 Aug →
mirage	9–13	0.01	10%	2 Aug →
cache	13–11	-0.02	10%	1 Aug →
nuke	5–13	0.01	16%	31 Jul →
inferno	13–11	-0.01	11%	31 Jul →
mirage	15–15	0.04	10%	30 Jul →
nuke	8–13	0.14	13%	30 Jul →
mirage	13–5	0.08	10%	29 Jul →
dust2	5–13	-0.07	12%	29 Jul →
dust2	12–12	0.07	17%	28 Jul →
mirage	5–13	-0.06	23%	28 Jul →
nuke	11–13	-0.01	11%	28 Jul →
mirage	2–13	-0.07	14%	28 Jul →
anubis	4–13	-0.08	21%	27 Jul →
mirage	10–13	0.00	22%	27 Jul →
dust2	13–8	0.01	9%	27 Jul →
ancient	13–7	-0.08	23%	26 Jul →
mirage	10–13	0.01	8%	26 Jul →
inferno	13–2	0.01	3%	26 Jul →
nuke	13–10	0.07	9%	25 Jul →
anubis	13–16	0.00	18%	24 Jul →
mirage	9–13	-0.01	17%	24 Jul →
dust2	6–13	-0.01	11%	24 Jul →
dust2	11–13	-0.01	16%	23 Jul →
dust2	13–11	-0.05	12%	23 Jul →
dust2	14–16	-0.03	14%	22 Jul →
ancient	9–13	-0.03	23%	22 Jul →
mirage	3–13	-0.10	17%	22 Jul →
dust2	13–8	0.05	23%	22 Jul →
mirage	13–4	0.08	6%	21 Jul →