Boom — CS2 Stats

JP76561198193318389[U:1:233052661]Steam profile ↗✓ No bans

6,370Tracked matches61%Win rate2020Tracked since

4,206Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating28,394Top 5% of 819 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)

CSDB Leaderboard#65 of 3293 tracked

FaceitLevel 9 · 2,344 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Rating over time

28,394Peak Premier on CSDB

2,344Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,344
Next: 2,500 ELO at 2,500 — 156 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

At peak — 28,394
Next: Gold band at 30,000 — 1,606 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim84

Positioning65

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateWLWLWWWLLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression9.1

Utility5.3

Positioning6.5

Opening Duels4.6

Clutch3.4

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 donk 93% playstyle similarity

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

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

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

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

Aim8.4

Positioning6.5

Utility5.3

Mechanics6.7

Opening Duels4.6

Win Impact8.6

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time533ms−66ms

first ⅓ avg 599ms → last ⅓ avg 533ms

Headshot accuracy19.5%−2.3%

first ⅓ avg 21.7% → last ⅓ avg 19.5%

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 13–3

13–1Biggest win — anubis

7Longest win streak

4–1In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 86% over 7nukeWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	0.00
dust2	A	16	9–7	56%	-0.01
cache	B	13	7–6	54%	-0.00
nuke	C	12	5–7	42%	0.00
vertigo	A	9	5–4	56%	0.02
inferno	S	8	6–2	75%	0.02
anubis	S	7	6–1	86%	0.01
ancient	B	6	3–3	50%	0.01
train	S	6	5–1	83%	0.02
overpass	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,003Lifetime kills

0.96K/D

9,032Matches

53.8%Match win rate · Top 10% of tracked players

46.2%Headshot % · Top 50% of tracked players

7.6%Shot accuracy

22,170MVPs

4,206Hours (in match)

8,900Bombs planted

2,263Bombs defused

Most-used weapons

AK-4760,011

M4A4 / M4A1-S40,033

AWP16,930

P2000 / USP-S10,297

Desert Eagle7,629

Glock-186,681

MP93,443

P2503,384

MAC-103,013

Galil AR2,915

Lifetime map wins

14,232inferno

14,153dust2

10,554nuke

6,247vertigo

2,940train

1,459cbble

179office

60lake

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

Faceit stats

Combat

1,243Matches

52%Win rate

1.00Avg K/D

78.6ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	330	48%	0.96	14.8
Anubis	172	59%	1.09	16.2
Dust2	168	50%	0.97	14.2
Ancient	152	50%	1.01	14.9
Inferno	124	51%	1.04	14.7
Nuke	86	60%	1.04	15.8
Vertigo	54	48%	1.02	16.2
Cache	14	50%	0.91	11.5

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.

18.9%Headshot accuracy

36.0%Accuracy (enemy spotted)

40.2%Spray accuracy

80.3%Counter-strafing

7.7°Preaim

533msReaction time

42.6%T opening success

54.5%CT opening success

0.64Enemies flashed / flash

3.8%Flash assists

6.80HE damage / grenade

9.72Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–1	0.01	9%	27 Aug →
cache	9–13	0.02	16%	26 Aug →
cache	13–4	-0.03	5%	25 Aug →
dust2	10–13	0.01	20%	25 Aug →
cache	13–1	0.04	40%	25 Aug →
inferno	13–10	-0.06	13%	24 Aug →
mirage	13–1	0.02	16%	23 Aug →
dust2	7–13	0.05	22%	23 Aug →
mirage	9–13	-0.00	32%	23 Aug →
dust2	13–9	0.03	12%	23 Aug →
vertigo	2–13	0.01	37%	23 Aug →
dust2	13–7	0.08	24%	23 Aug →
nuke	13–3	0.14	27%	23 Aug →
mirage	12–12	-0.01	23%	23 Aug →
inferno	13–5	0.04	23%	23 Aug →
mirage	8–13	-0.04	21%	23 Aug →
mirage	13–8	-0.03	8%	23 Aug →
cache	12–12	-0.09	11%	22 Aug →
mirage	13–1	0.01	19%	22 Aug →
inferno	13–8	-0.01	19%	22 Aug →
cache	9–13	-0.01	12%	22 Aug →
ancient	6–13	0.06	22%	21 Aug →
vertigo	4–13	-0.01	23%	21 Aug →
nuke	6–13	-0.01	12%	20 Aug →
mirage	13–1	0.04	26%	19 Aug →
mirage	13–9	0.04	22%	18 Aug →
nuke	8–13	-0.03	8%	18 Aug →
vertigo	13–3	0.03	12%	17 Aug →
anubis	13–10	0.01	12%	17 Aug →
train	13–5	0.00	35%	17 Aug →
nuke	3–7	-0.03	31%	16 Aug →
vertigo	13–2	0.05	15%	16 Aug →
mirage	13–1	0.02	17%	16 Aug →
mirage	13–6	-0.05	19%	16 Aug →
train	13–1	0.05	17%	16 Aug →
mirage	12–12	-0.01	15%	15 Aug →
mirage	13–6	0.04	16%	15 Aug →
vertigo	11–13	-0.04	13%	15 Aug →
nuke	12–12	-0.00	33%	15 Aug →
cache	9–13	-0.06	23%	15 Aug →
inferno	13–3	0.05	15%	15 Aug →
train	13–2	-0.02	42%	15 Aug →
cache	13–7	0.05	24%	15 Aug →
dust2	10–13	-0.05	25%	15 Aug →
vertigo	13–5	0.07	13%	15 Aug →
anubis	13–4	0.03	19%	14 Aug →
nuke	13–10	0.06	24%	14 Aug →
ancient	13–11	-0.02	13%	14 Aug →
ancient	13–9	-0.02	15%	14 Aug →
train	12–12	-0.02	32%	14 Aug →
anubis	13–9	0.02	33%	14 Aug →
nuke	13–5	-0.02	23%	13 Aug →
vertigo	8–13	-0.03	10%	13 Aug →
nuke	9–13	0.00	28%	13 Aug →
cache	13–8	-0.02	23%	13 Aug →
dust2	12–12	-0.02	22%	13 Aug →
mirage	7–13	-0.06	8%	12 Aug →
dust2	13–6	0.05	15%	12 Aug →
mirage	12–16	-0.03	25%	12 Aug →
inferno	13–1	0.12	18%	11 Aug →
anubis	10–13	0.02	14%	10 Aug →
dust2	13–11	-0.00	23%	10 Aug →
nuke	13–3	-0.04	29%	10 Aug →
train	13–1	0.02	31%	10 Aug →
nuke	3–13	-0.00	29%	9 Aug →
ancient	10–13	-0.07	23%	9 Aug →
dust2	13–10	-0.05	16%	9 Aug →
dust2	8–13	-0.07	11%	9 Aug →
ancient	13–10	0.03	24%	8 Aug →
anubis	13–3	0.03	27%	8 Aug →
cache	2–13	-0.07	27%	8 Aug →
mirage	2–13	0.04	23%	8 Aug →
train	13–4	0.08	23%	8 Aug →
nuke	10–13	-0.04	24%	8 Aug →
dust2	6–13	-0.11	12%	8 Aug →
cache	13–11	0.10	21%	8 Aug →
inferno	5–13	-0.04	16%	8 Aug →
mirage	13–8	-0.03	13%	8 Aug →
dust2	13–2	0.04	22%	7 Aug →
mirage	10–13	0.04	16%	6 Aug →
cache	13–6	0.01	28%	6 Aug →
vertigo	13–9	0.08	22%	6 Aug →
dust2	13–11	-0.06	20%	6 Aug →
mirage	2–13	-0.10	11%	6 Aug →
mirage	13–5	-0.01	22%	6 Aug →
mirage	13–2	0.05	32%	6 Aug →
anubis	13–9	-0.04	13%	5 Aug →
cache	10–13	0.06	27%	4 Aug →
overpass	8–13	0.00	16%	4 Aug →
dust2	10–13	-0.00	19%	4 Aug →
ancient	9–13	0.11	29%	4 Aug →
inferno	2–13	-0.04	26%	4 Aug →
mirage	6–13	0.13	25%	4 Aug →
inferno	13–1	0.09	3%	4 Aug →
dust2	13–8	0.03	27%	4 Aug →
nuke	13–4	-0.03	30%	4 Aug →
cache	13–4	-0.02	26%	3 Aug →
mirage	13–6	0.02	34%	3 Aug →
dust2	6–2	-0.05	19%	3 Aug →
vertigo	13–3	0.02	29%	3 Aug →