sammyb0b — CS2 Stats

76561197960721817[U:1:456089]Steam profile ↗✓ No bans

482Tracked matches70%Win rate2021Tracked since

CSDB Rating5.7 SolidPassive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim60

Positioning48

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateWWLWLLWWWW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

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

Aim6.0

Aggression4.2

Utility5.5

Positioning4.8

Opening Duels0.3

Clutch4.0

Limited 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 NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Reaction time. 592ms 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

Aim6.0

Positioning4.8

Utility5.5

Mechanics6.8

Opening Duels0.8

Win Impact10.0

Composite 5.7/10 (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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time579ms−5ms

first ⅓ avg 584ms → last ⅓ avg 579ms

Headshot accuracy16.4%−2.6%

first ⅓ avg 18.9% → last ⅓ avg 16.4%

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 — mirage 11–13

13–1Biggest win — ancient

7Longest win streak

W2Current streak

4–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 84% over 19dust2Weakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	19	11–8	58%	-0.00
nuke	S	19	16–3	84%	0.01
dust2	C	18	7–11	39%	-0.00
anubis	B	16	8–8	50%	-0.02
overpass	A	7	4–3	57%	-0.00
inferno	S	6	4–2	67%	-0.00
train	S	6	4–2	67%	-0.03
mirage	A	5	3–2	60%	0.04
cache	—	4	2–2	50%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

147Matches

58%Win rate

1.10Avg K/D

69.7ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	8	38%	0.78	13.9
Mirage	5	20%	0.80	11.0
Nuke	5	80%	1.66	18.4
Anubis	3	67%	1.41	19.0
Dust2	3	67%	1.14	12.0
Inferno	2	50%	1.30	13.0
Train	1	100%	1.77	23.0
Vertigo	1	0%	0.60	9.0

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.

17.3%Headshot accuracy

30.4%Accuracy (enemy spotted)

35.4%Spray accuracy

80.7%Counter-strafing

10.2°Preaim

592msReaction time

25.7%T opening success

36.8%CT opening success

0.54Enemies flashed / flash

9.3%Flash assists

9.29HE damage / grenade

4.42Flashes / 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 25.6639% — 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.

39% win rate across 18 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
inferno	10–2	0.11	12%	31 Jul →
dust2	13–11	0.04	19%	31 Jul →
ancient	9–13	-0.02	12%	30 Jul →
overpass	13–5	0.01	17%	30 Jul →
anubis	0–13	-0.08	0%	30 Jul →
dust2	4–13	-0.00	40%	30 Jul →
dust2	13–6	-0.01	29%	29 Jul →
overpass	13–10	0.01	16%	29 Jul →
ancient	13–5	-0.02	6%	29 Jul →
anubis	13–9	-0.04	21%	29 Jul →
cache	13–2	-0.01	11%	29 Jul →
dust2	13–8	0.02	27%	29 Jul →
ancient	13–1	0.05	14%	29 Jul →
cache	8–13	-0.04	11%	29 Jul →
nuke	13–6	0.00	23%	29 Jul →
nuke	13–3	0.00	20%	28 Jul →
anubis	13–3	-0.09	15%	28 Jul →
dust2	13–7	-0.07	19%	28 Jul →
ancient	13–1	-0.01	7%	28 Jul →
cache	8–13	-0.05	12%	28 Jul →
anubis	13–10	-0.06	27%	28 Jul →
nuke	13–8	-0.01	23%	28 Jul →
overpass	13–6	0.03	17%	28 Jul →
overpass	13–6	-0.01	15%	27 Jul →
cache	13–1	0.06	15%	27 Jul →
anubis	6–13	-0.03	5%	27 Jul →
dust2	3–8	-0.08	17%	27 Jul →
nuke	9–13	0.01	23%	27 Jul →
ancient	13–4	0.01	13%	27 Jul →
ancient	5–13	-0.06	8%	27 Jul →
inferno	13–1	-0.01	23%	27 Jul →
dust2	1–1	-0.07	0%	27 Jul →
nuke	13–3	0.04	24%	27 Jul →
anubis	13–6	0.00	24%	27 Jul →
inferno	3–13	-0.07	30%	14 Feb →
anubis	10–13	0.03	14%	14 Feb →
overpass	9–13	0.02	9%	14 Feb →
nuke	8–13	0.02	15%	14 Feb →
anubis	4–13	-0.04	13%	14 Feb →
nuke	13–11	-0.02	20%	25 Dec →
mirage	11–13	0.11	27%	25 Dec →
dust2	11–13	0.09	19%	25 Dec →
inferno	13–3	-0.00	8%	25 Dec →
nuke	13–9	-0.03	30%	25 Dec →
dust2	13–9	0.04	13%	7 Dec →
mirage	13–10	0.10	22%	6 Dec →
dust2	13–9	0.01	21%	6 Dec →
ancient	16–13	0.08	11%	6 Dec →
mirage	11–1	0.04	14%	6 Dec →
ancient	7–13	0.05	10%	6 Dec →
dust2	4–13	-0.02	20%	6 Dec →
nuke	13–11	0.03	24%	6 Dec →
dust2	5–13	-0.04	20%	6 Dec →
nuke	13–4	0.09	13%	6 Dec →
inferno	4–13	-0.04	20%	6 Dec →
nuke	13–3	0.00	14%	5 Dec →
ancient	7–13	-0.07	14%	21 Nov →
overpass	11–13	-0.02	17%	21 Nov →
nuke	13–7	0.00	29%	6 Nov →
dust2	15–15	0.00	21%	6 Nov →
overpass	7–13	-0.05	11%	6 Nov →
ancient	13–8	-0.01	17%	6 Nov →
anubis	13–9	-0.00	9%	30 May →
mirage	15–15	-0.06	21%	30 May →
dust2	15–15	-0.02	22%	29 May →
mirage	13–5	0.02	13%	29 May →
train	13–8	-0.02	8%	29 May →
anubis	3–13	-0.05	19%	29 May →
ancient	13–7	-0.02	22%	27 May →
train	6–13	-0.04	10%	26 May →
dust2	3–2	0.06	33%	26 May →
inferno	13–10	0.01	24%	26 May →
nuke	13–1	0.01	28%	26 May →
ancient	13–3	0.02	21%	25 May →
nuke	13–5	0.01	7%	25 May →
train	2–13	-0.12	17%	25 May →
ancient	7–2	-0.02	5%	25 May →
anubis	13–6	0.03	26%	23 May →
nuke	13–6	0.01	20%	23 May →
ancient	9–4	-0.03	17%	23 May →
train	13–6	0.02	18%	23 May →
dust2	8–13	-0.01	32%	22 May →
anubis	10–13	0.01	14%	22 May →
ancient	11–13	0.01	17%	22 May →
train	13–4	0.02	24%	22 May →
anubis	13–11	0.07	13%	22 May →
nuke	13–5	-0.04	17%	11 May →
anubis	11–13	-0.03	8%	11 May →
train	13–2	-0.02	24%	11 May →
ancient	5–13	-0.01	10%	11 May →
dust2	13–3	0.02	24%	11 May →
ancient	2–13	-0.05	30%	11 May →
nuke	13–9	-0.01	16%	10 May →
ancient	6–13	-0.05	19%	10 May →
anubis	13–9	-0.01	7%	8 May →
dust2	15–15	0.01	18%	8 May →
nuke	13–8	-0.03	22%	8 May →
nuke	15–15	0.03	18%	8 May →
anubis	8–13	-0.02	31%	2 May →
ancient	13–5	0.11	16%	2 May →