NBOOM1e — CS2 Stats

US76561198321899976[U:1:361634248]Steam profile ↗

3,173Tracked matches39%Win rate2020Tracked since

4,830Hours in CS

CSDB Rating6.0 SolidEntry Fragger

Premier CS Rating18,704Purple band · top ~13.7% of ranked players (population est.)

CSDB Leaderboard#2751 of 5430 tracked

FaceitLevel 7 · 1,494 ELOTop 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning72

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLLLLLLWWWW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim6.6

Aggression10.0

Utility3.1

Positioning7.2

Opening Duels7.2

Clutch4.2

Strong CT-side openerLimited 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 s1mple 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 68% on CT to 50% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.6

Positioning7.2

Utility3.1

Mechanics8.1

Opening Duels7.2

Win Impact1.4

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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time585ms−0ms

first ⅓ avg 585ms → last ⅓ avg 585ms

Headshot accuracy19.9%+0.1%

first ⅓ avg 19.8% → last ⅓ avg 19.9%

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

0.37Best rating — inferno 9–0

13–0Biggest win — inferno

5Longest win streak

L6Current streak

7–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 75% over 8cacheWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	16–16	50%	0.06
cache	D	15	5–10	33%	0.05
nuke	A	12	7–5	58%	0.01
ancient	S	11	8–3	73%	0.02
overpass	C	10	4–6	40%	0.04
mirage	S	8	6–2	75%	0.04
train	C	7	3–4	43%	0.05
dust2	—	4	3–1	75%	0.03
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Lifetime stats

142,647Lifetime kills

1.06K/D · Top 50% of tracked players

5,935Matches

46.3%Match win rate

40.4%Headshot %

10.1%Shot accuracy

19,998MVPs

4,830Hours (in match)

6,498Bombs planted

2,339Bombs defused

Most-used weapons

AK-4743,072

P25021,174

M4A4 / M4A1-S20,873

AWP7,741

P2000 / USP-S7,696

Desert Eagle7,489

Glock-185,589

FAMAS4,905

Knife3,836

Galil AR3,818

Lifetime map wins

10,056inferno

4,136vertigo

4,108nuke

3,981dust2

1,421train

823office

473cbble

215lake

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

Faceit stats

Combat

784Matches

51%Win rate

1.06Avg K/D

78.1ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	149	55%	1.09	15.5
Mirage	120	57%	1.10	16.1
Inferno	115	52%	1.07	15.8
Nuke	73	48%	0.98	14.6
Anubis	72	44%	1.06	15.9
Vertigo	70	54%	1.13	17.2
Dust2	53	43%	0.99	14.8
Overpass	23	61%	1.25	16.0

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.

20.4%Headshot accuracy

32.3%Accuracy (enemy spotted)

35.0%Spray accuracy

86.5%Counter-strafing

11.8°Preaim

596msReaction time

49.6%T opening success

68.3%CT opening success

0.25Enemies flashed / flash

8.4%Flash assists

9.09HE damage / grenade

2.79Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2487 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	2–7	-0.02	7%	5 Aug →
cache	8–10	-0.02	18%	5 Aug →
inferno	7–13	0.05	19%	26 Jul →
cache	6–13	0.05	12%	26 Jul →
inferno	7–13	-0.00	20%	19 Jul →
cache	11–13	0.09	21%	19 Jul →
cache	13–9	0.01	25%	19 Jul →
nuke	13–11	0.03	25%	7 Jul →
cache	13–2	0.07	23%	7 Jul →
cache	13–9	0.05	23%	6 Jul →
inferno	6–13	-0.03	25%	6 Jul →
mirage	13–11	0.07	22%	6 Jul →
cache	9–13	0.10	22%	6 Jul →
cache	13–8	0.14	24%	6 Jul →
inferno	13–8	0.08	27%	2 Jul →
cache	5–13	-0.13	0%	29 Jun →
inferno	13–7	0.07	30%	29 Jun →
inferno	13–8	0.06	20%	27 Jun →
inferno	3–13	0.01	17%	24 Jun →
cache	7–13	0.06	19%	24 Jun →
cache	10–13	0.08	22%	21 Jun →
cache	13–11	0.07	20%	21 Jun →
inferno	13–11	0.01	21%	17 Jun →
cache	11–13	0.05	19%	17 Jun →
cache	12–12	0.11	17%	16 Jun →
office	6–13	-0.06	30%	13 Jun →
inferno	9–13	0.08	22%	13 Jun →
cache	8–13	0.01	6%	13 Jun →
ancient	4–13	0.02	8%	15 Mar →
inferno	12–12	0.06	22%	30 Jan →
inferno	5–13	-0.01	29%	23 Jan →
mirage	13–9	0.06	23%	23 Dec →
train	13–11	0.04	21%	11 Dec →
inferno	12–12	0.15	24%	11 Dec →
train	13–7	0.09	21%	9 Dec →
dust2	13–8	0.04	12%	5 Dec →
inferno	9–2	0.25	8%	5 Dec →
dust2	12–12	0.04	18%	28 Nov →
inferno	13–0	0.20	27%	25 Nov →
inferno	11–13	-0.01	18%	20 Nov →
nuke	6–13	-0.01	8%	18 Nov →
nuke	2–13	-0.05	31%	13 Nov →
nuke	13–1	0.07	36%	13 Nov →
inferno	13–6	0.02	13%	11 Nov →
overpass	10–13	0.04	12%	11 Nov →
ancient	13–7	-0.03	18%	11 Nov →
train	8–13	-0.04	27%	10 Nov →
train	0–6	-0.04	43%	10 Nov →
ancient	13–4	0.10	23%	10 Nov →
inferno	13–11	0.12	28%	6 Nov →
inferno	9–13	-0.02	14%	6 Nov →
inferno	6–9	-0.07	18%	5 Nov →
inferno	9–4	0.05	16%	5 Nov →
inferno	9–4	0.16	15%	5 Nov →
mirage	13–6	0.04	14%	5 Nov →
nuke	10–13	0.11	18%	4 Nov →
inferno	16–12	0.06	16%	4 Nov →
mirage	9–13	-0.05	19%	3 Nov →
ancient	13–7	0.03	16%	2 Nov →
mirage	13–1	0.14	18%	28 Oct →
nuke	4–1	-0.02	36%	28 Oct →
ancient	13–3	0.05	13%	28 Oct →
dust2	13–11	-0.00	15%	28 Oct →
overpass	11–13	0.04	13%	23 Oct →
inferno	2–13	-0.04	11%	22 Oct →
dust2	13–5	0.05	13%	22 Oct →
overpass	13–0	0.09	17%	20 Oct →
overpass	9–13	-0.07	11%	16 Oct →
inferno	13–7	0.09	23%	16 Oct →
mirage	10–13	0.02	26%	14 Oct →
ancient	13–5	-0.02	13%	14 Oct →
ancient	2–7	0.05	19%	14 Oct →
overpass	9–4	0.20	11%	14 Oct →
inferno	9–1	0.18	13%	14 Oct →
inferno	9–0	0.37	20%	14 Oct →
inferno	9–5	0.12	24%	14 Oct →
nuke	9–13	-0.04	18%	14 Oct →
ancient	13–10	0.02	14%	13 Oct →
nuke	13–8	-0.01	15%	13 Oct →
inferno	2–13	-0.12	13%	12 Oct →
nuke	13–9	-0.06	15%	12 Oct →
inferno	13–5	0.09	21%	8 Oct →
ancient	17–19	0.03	17%	7 Oct →
nuke	3–13	-0.06	26%	2 Oct →
overpass	13–5	0.09	20%	30 Sept →
mirage	13–9	0.01	25%	29 Sept →
inferno	4–9	-0.08	12%	29 Sept →
ancient	13–10	0.02	14%	28 Sept →
overpass	12–12	-0.01	19%	25 Sept →
overpass	13–2	0.03	24%	25 Sept →
ancient	13–8	-0.01	22%	25 Sept →
train	5–13	0.13	16%	24 Sept →
nuke	13–3	0.09	36%	24 Sept →
inferno	7–9	0.07	29%	23 Sept →
train	13–6	0.08	38%	23 Sept →
train	4–13	0.09	25%	23 Sept →
overpass	8–13	-0.04	15%	20 Sept →
mirage	13–9	0.04	12%	19 Sept →
nuke	13–1	0.09	28%	19 Sept →
overpass	7–13	-0.01	22%	19 Sept →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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