Sm00dE — CS2 Stats

LT76561197982247507[U:1:21981779]Steam profile ↗✓ No bans

946Tracked matches40%Win rate2021Tracked since

4,236Hours in CS9Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim63

Positioning39

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateLWLWWLWLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim6.3

Aggression5.6

Utility6.0

Positioning3.9

Opening Duels2.3

Clutch3.6

Strong CT-side opener

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 51% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 687ms 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

Aim6.3

Positioning3.9

Utility6.0

Mechanics7.7

Opening Duels2.6

Win Impact1.7

Composite 5.2/10 (Developing), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time680ms+30ms

first ⅓ avg 650ms → last ⅓ avg 680ms

Headshot accuracy22.3%+0.3%

first ⅓ avg 22.0% → last ⅓ avg 22.3%

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

0.13Best rating — mirage 13–7

13–1Biggest win — inferno

4Longest win streak

12–13In matches decided by ≤2 rounds

18Overtime games

Map breakdown

dust2Best map · 57% over 23nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	13–10	57%	0.01
ancient	B	20	10–10	50%	0.02
inferno	C	20	8–12	40%	0.00
mirage	C	14	6–8	43%	0.02
overpass	C	8	3–5	38%	0.01
nuke	D	7	1–6	14%	-0.01
train	—	4	0–4	0%	-0.01
anubis	—	3	1–2	33%	0.03
cache	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,987Lifetime kills

1.24K/D · Top 25% of tracked players

4,610Matches

46.4%Match win rate · Top 50% of tracked players

58.1%Headshot % · Top 10% of tracked players

13.4%Shot accuracy · Top 50% of tracked players

13,378MVPs

2,497Hours (in match)

5,996Bombs planted

1,461Bombs defused

Most-used weapons

AK-4769,101

M4A4 / M4A1-S20,736

AWP16,163

P2000 / USP-S9,189

Desert Eagle8,910

Glock-183,993

FAMAS2,550

Knife2,297

P2502,078

Galil AR1,422

Lifetime map wins

13,484dust2

9,649inferno

2,803train

2,193nuke

1,325cbble

765vertigo

259dust

99office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,380Matches

50%Win rate

1.08Avg K/D

81.7ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	154	48%	0.99	16.3
Ancient	132	48%	1.06	16.5
Mirage	120	52%	1.02	16.6
Inferno	118	53%	1.05	17.2
Anubis	48	48%	0.90	15.6
Nuke	41	39%	0.99	17.2
Train	33	67%	1.03	15.2
Overpass	33	45%	1.15	17.7

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.

22.2%Headshot accuracy

34.9%Accuracy (enemy spotted)

36.1%Spray accuracy

84.5%Counter-strafing

11.9°Preaim

687msReaction time

27.4%T opening success

51.0%CT opening success

0.52Enemies flashed / flash

9.8%Flash assists

10.70HE damage / grenade

10.75Flashes / 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 27.4339% — 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.

14% 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
nuke	10–13	0.03	27%	13 Aug →
anubis	13–11	-0.02	22%	4 Aug →
dust2	13–16	-0.06	33%	25 Jul →
ancient	13–11	0.00	23%	23 Jul →
ancient	13–7	0.05	10%	23 Jul →
mirage	11–13	-0.03	16%	23 Jul →
cache	13–10	0.05	29%	21 Jul →
anubis	7–13	0.03	26%	21 Jul →
inferno	7–13	0.04	26%	21 Jul →
ancient	13–16	0.02	23%	20 Jul →
dust2	11–13	0.00	17%	20 Jul →
ancient	2–13	-0.05	16%	15 Jul →
ancient	13–9	0.06	20%	15 Jul →
inferno	4–13	-0.08	16%	15 Jul →
ancient	13–6	-0.00	29%	10 Jul →
inferno	13–2	0.02	24%	3 Jul →
ancient	14–16	-0.06	14%	3 Jul →
dust2	13–8	0.07	39%	3 Jul →
mirage	11–13	0.04	16%	3 Jul →
inferno	7–13	-0.03	11%	22 Jun →
dust2	0–13	-0.03	0%	22 Jun →
inferno	13–1	-0.05	0%	18 Jun →
mirage	13–10	-0.02	18%	17 Jun →
nuke	5–13	0.07	39%	9 Jun →
ancient	6–0	0.08	31%	9 Jun →
inferno	5–13	0.05	27%	9 Jun →
inferno	3–9	-0.02	19%	31 May →
inferno	3–13	-0.02	37%	30 May →
dust2	6–13	0.04	31%	30 May →
inferno	16–14	-0.07	16%	7 May →
overpass	7–13	0.01	33%	6 May →
mirage	13–7	0.13	22%	6 May →
mirage	22–20	-0.01	29%	6 May →
nuke	11–13	-0.03	20%	31 Mar →
dust2	8–13	0.06	23%	30 Mar →
ancient	11–2	0.05	22%	30 Mar →
dust2	11–13	0.02	21%	30 Mar →
ancient	13–4	0.04	24%	29 Mar →
mirage	5–13	0.03	15%	29 Mar →
nuke	13–9	0.12	35%	28 Mar →
dust2	13–11	-0.00	31%	26 Mar →
anubis	11–13	0.09	24%	25 Mar →
mirage	8–13	0.03	28%	25 Mar →
dust2	13–8	0.03	40%	25 Mar →
ancient	2–13	0.01	33%	2 Feb →
inferno	8–13	-0.02	43%	1 Feb →
ancient	4–13	-0.03	22%	23 Jan →
nuke	2–9	-0.18	21%	11 Jan →
dust2	11–13	-0.03	22%	11 Jan →
ancient	16–14	0.10	22%	9 Jan →
inferno	13–16	-0.02	27%	8 Jan →
overpass	13–7	0.01	15%	4 Jan →
dust2	16–14	-0.02	19%	4 Jan →
inferno	13–6	-0.03	19%	3 Jan →
dust2	16–12	-0.01	16%	2 Jan →
mirage	15–15	-0.00	30%	1 Jan →
ancient	19–17	0.01	17%	29 Dec →
ancient	15–15	0.01	19%	26 Dec →
overpass	10–13	-0.03	13%	26 Dec →
dust2	13–3	0.01	14%	25 Dec →
ancient	11–13	0.05	9%	24 Dec →
dust2	13–10	0.02	26%	22 Dec →
dust2	13–3	-0.01	21%	16 Dec →
train	10–13	-0.05	17%	16 Dec →
inferno	10–13	0.01	22%	16 Dec →
overpass	13–3	-0.01	24%	16 Dec →
inferno	9–13	0.00	11%	15 Dec →
mirage	10–13	-0.05	15%	15 Dec →
mirage	16–13	0.02	17%	10 Dec →
train	7–13	-0.02	29%	8 Dec →
mirage	16–13	0.04	19%	7 Dec →
overpass	5–13	0.03	18%	6 Dec →
inferno	13–7	0.04	22%	3 Dec →
overpass	13–5	0.02	37%	29 Nov →
nuke	3–13	-0.05	39%	28 Nov →
inferno	5–13	-0.05	23%	28 Nov →
mirage	11–13	0.07	20%	28 Nov →
dust2	13–8	0.08	16%	26 Nov →
dust2	13–11	-0.02	16%	26 Nov →
ancient	7–13	-0.04	17%	26 Nov →
ancient	19–17	0.03	20%	22 Nov →
dust2	6–13	0.03	12%	22 Nov →
inferno	13–5	0.05	38%	21 Nov →
overpass	11–13	-0.03	18%	20 Nov →
train	6–13	-0.02	26%	20 Nov →
dust2	13–7	-0.01	24%	20 Nov →
inferno	14–16	0.05	23%	19 Nov →
dust2	13–7	0.01	23%	19 Nov →
ancient	10–13	0.00	15%	17 Nov →
overpass	17–19	0.05	14%	16 Nov →
train	9–13	0.03	21%	16 Nov →
dust2	5–13	-0.04	26%	15 Nov →
dust2	16–13	-0.02	21%	14 Nov →
dust2	9–13	-0.02	32%	9 Nov →
ancient	10–13	0.03	18%	9 Nov →
mirage	13–11	0.01	26%	6 Nov →
mirage	9–13	0.00	23%	5 Nov →
inferno	13–11	0.12	19%	4 Nov →
inferno	13–8	0.10	31%	4 Nov →
nuke	8–13	-0.05	9%	2 Nov →