smNx — CS2 Stats

76561198145426604[U:1:185160876]✓ No bans

2,767Tracked matches47%Win rate2020Tracked since

3,832Hours in CS28Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

FaceitLevel 9 · 2,029 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	46.7%	49.0%	52.0%	5.4% short
Shot accuracy	14.5%	13.1%	13.7%	above
Kill/death ratio	1.59	1.08	1.08	above
Match win rate	53.3%	46.9%	48.8%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim77

Positioning52

Utility70

0–100 skill scores via Leetify.

Recent form

HOT46–54Last 10046%Win rateWLWWWWLWLW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating

Player DNA

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

Aim7.7

Aggression6.1

Utility7.0

Positioning5.2

Opening Duels3.0

Clutch3.8

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 Twistzz 93% 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 →

CSDB Rating breakdown

Aim7.7

Positioning5.2

Utility7.0

Mechanics6.1

Opening Duels3.0

Win Impact3.9

Composite 6.0/10 (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-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time521ms−37ms

first ⅓ avg 558ms → last ⅓ avg 521ms

Headshot accuracy18.1%+0.3%

first ⅓ avg 17.8% → last ⅓ avg 18.1%

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 — inferno 16–12

13–0Biggest win — dust2

5Longest win streak

9–16In matches decided by ≤2 rounds

18Overtime games

Map breakdown

mirageBest map · 67% over 6infernoWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	28	15–13	54%	0.00
anubis	B	23	11–12	48%	0.00
inferno	D	21	7–14	33%	-0.00
dust2	C	17	6–11	35%	0.00
mirage	S	6	4–2	67%	0.02
cache	A	5	3–2	60%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,245Lifetime kills

1.59K/D · Top 5% of Level 9 players

5,361Matches

53.3%Match win rate · Top 10% of Level 9 players

46.7%Headshot %

14.5%Shot accuracy · Top 50% of Level 9 players

25,407MVPs

2,159Hours (in match)

7,608Bombs planted

4,208Bombs defused

Most-used weapons

AK-4753,432

M4A4 / M4A1-S26,106

AWP25,236

P2000 / USP-S12,110

Glock-188,587

Desert Eagle8,566

P2504,827

Tec-93,164

Knife2,840

Five-SeveN2,429

Lifetime map wins

11,620inferno

10,249dust2

2,388cbble

2,332nuke

2,102vertigo

1,888train

131lake

98safehouse

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

Faceit stats

Combat

1,595Matches

50%Win rate

1.10Avg K/D

82.3ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	389	54%	1.13	16.6
Inferno	336	51%	1.13	17.1
Anubis	269	49%	1.09	17.2
Mirage	167	45%	1.01	16.3
Dust2	149	40%	1.03	15.5
Train	34	44%	1.17	18.1
Nuke	24	54%	1.07	16.3
Cache	22	50%	1.03	16.9

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.

17.6%Headshot accuracy

34.5%Accuracy (enemy spotted)

42.2%Spray accuracy

77.3%Counter-strafing

9.3°Preaim

524msReaction time

37.9%T opening success

46.3%CT opening success

0.64Enemies flashed / flash

7.8%Flash assists

8.91HE damage / grenade

15.94Flashes / 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 37.9466% — 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.

33% win rate across 21 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
anubis	16–12	0.00	7%	27 Aug →
dust2	8–13	-0.09	8%	27 Aug →
ancient	13–7	0.00	18%	27 Aug →
ancient	13–11	-0.04	24%	27 Aug →
ancient	13–7	-0.03	18%	25 Aug →
anubis	13–9	-0.02	21%	25 Aug →
inferno	9–13	-0.04	16%	25 Aug →
cache	13–11	0.06	18%	25 Aug →
anubis	14–16	0.01	22%	22 Aug →
inferno	16–12	0.11	22%	22 Aug →
ancient	10–13	-0.02	11%	22 Aug →
anubis	13–9	0.03	12%	20 Aug →
inferno	3–13	-0.02	25%	20 Aug →
anubis	6–13	-0.03	21%	20 Aug →
ancient	6–13	-0.08	17%	20 Aug →
inferno	8–13	-0.04	15%	20 Aug →
inferno	14–16	-0.02	16%	19 Aug →
cache	13–8	-0.06	19%	19 Aug →
inferno	6–13	-0.02	18%	18 Aug →
ancient	11–13	-0.03	22%	18 Aug →
mirage	14–16	-0.01	16%	16 Aug →
ancient	13–11	0.01	24%	16 Aug →
ancient	4–13	0.03	17%	16 Aug →
anubis	2–13	-0.09	10%	16 Aug →
inferno	10–13	0.00	18%	16 Aug →
ancient	13–6	0.07	16%	15 Aug →
inferno	13–6	0.06	27%	15 Aug →
ancient	16–12	-0.02	16%	15 Aug →
dust2	13–0	0.09	29%	14 Aug →
inferno	11–13	-0.05	12%	14 Aug →
ancient	16–12	0.08	24%	14 Aug →
mirage	13–4	0.00	22%	14 Aug →
ancient	4–13	0.03	18%	14 Aug →
dust2	6–13	-0.02	4%	14 Aug →
inferno	13–8	0.00	17%	14 Aug →
dust2	6–13	-0.04	11%	12 Aug →
ancient	13–8	0.04	15%	12 Aug →
inferno	13–11	-0.03	12%	10 Aug →
dust2	10–13	0.06	14%	10 Aug →
anubis	19–16	0.02	13%	10 Aug →
ancient	4–13	-0.08	21%	10 Aug →
ancient	9–13	0.01	17%	8 Aug →
anubis	14–16	0.02	21%	8 Aug →
anubis	11–13	-0.01	11%	8 Aug →
ancient	13–5	0.06	17%	6 Aug →
dust2	13–8	-0.04	22%	6 Aug →
anubis	10–13	0.02	15%	6 Aug →
inferno	13–11	0.08	20%	6 Aug →
dust2	4–13	-0.02	18%	5 Aug →
anubis	9–13	-0.02	20%	5 Aug →
ancient	5–13	-0.01	23%	5 Aug →
inferno	13–5	0.01	18%	5 Aug →
ancient	11–13	0.06	10%	5 Aug →
anubis	2–13	-0.02	17%	5 Aug →
mirage	9–13	0.04	23%	2 Aug →
ancient	5–13	-0.04	22%	2 Aug →
dust2	6–13	-0.01	12%	2 Aug →
anubis	13–7	0.03	16%	29 Jul →
anubis	10–13	0.04	22%	29 Jul →
dust2	14–16	-0.01	15%	28 Jul →
mirage	13–9	0.01	16%	27 Jul →
mirage	13–10	0.03	18%	27 Jul →
dust2	14–16	-0.05	17%	27 Jul →
anubis	10–13	0.02	24%	27 Jul →
inferno	8–13	-0.00	26%	27 Jul →
cache	7–13	-0.01	11%	24 Jul →
dust2	9–13	0.03	42%	24 Jul →
anubis	13–10	-0.01	20%	24 Jul →
anubis	13–9	0.03	12%	23 Jul →
dust2	2–13	-0.07	22%	23 Jul →
ancient	16–13	0.01	6%	23 Jul →
dust2	13–8	0.10	20%	21 Jul →
dust2	13–6	0.02	9%	21 Jul →
inferno	5–13	-0.05	16%	21 Jul →
cache	13–8	-0.03	16%	20 Jul →
ancient	13–5	0.06	27%	19 Jul →
inferno	11–13	0.01	22%	18 Jul →
ancient	7–13	-0.03	13%	18 Jul →
anubis	16–12	0.06	17%	18 Jul →
ancient	14–16	-0.01	14%	18 Jul →
anubis	13–8	-0.03	8%	17 Jul →
ancient	13–10	0.03	17%	17 Jul →
inferno	19–17	0.02	29%	17 Jul →
ancient	11–13	0.01	28%	16 Jul →
inferno	10–13	-0.01	15%	15 Jul →
dust2	13–10	0.09	37%	15 Jul →
anubis	13–11	-0.03	15%	15 Jul →
ancient	13–11	-0.04	14%	15 Jul →
anubis	13–7	0.10	14%	13 Jul →
ancient	13–11	-0.02	13%	13 Jul →
inferno	6–13	-0.06	21%	11 Jul →
mirage	13–8	0.05	20%	11 Jul →
anubis	7–13	-0.02	12%	11 Jul →
dust2	16–12	0.02	22%	11 Jul →
inferno	11–13	0.01	21%	10 Jul →
anubis	8–13	-0.01	21%	10 Jul →
cache	11–13	-0.04	18%	10 Jul →
dust2	13–16	-0.01	14%	10 Jul →
inferno	17–19	-0.06	18%	8 Jul →
ancient	13–10	0.01	19%	8 Jul →