boaN — CS2 Stats

76561198212395748[U:1:252130020]

4,459Tracked matches50%Win rate2020Tracked since

6,860Hours in CS

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating26,429Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1618 of 20850 tracked

FaceitLevel 10 · 2,584 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

Rating over time

26,429Peak Premier on CSDB

2,584Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,584
Next: 3,000 ELO at 3,000 — 416 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-28
Level 10 first seen 2026-08-28

Premier CS Rating

At peak — 26,429
Next: Gold band at 30,000 — 3,571 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	45.8%	52.8%
Shot accuracy	12.2%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	44.3%	49.2%

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Performance scores

Aim88

Positioning61

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWLWLWLLWLW

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

Player DNA

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

Aim8.8

Aggression8.4

Utility6.0

Positioning6.1

Opening Duels2.9

Clutch3.4

Sharp aimer

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 b1t 95% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8

Positioning6.1

Utility6.0

Mechanics6.7

Opening Duels2.9

Win Impact5.0

Composite 6.9/10 (Solid), 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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time447ms−70ms

first ⅓ avg 517ms → last ⅓ avg 447ms

Headshot accuracy19.0%−0.6%

first ⅓ avg 19.6% → last ⅓ avg 19.0%

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

0.23Best rating — dust2 13–6

13–1Biggest win — dust2

4Longest win streak

7–2In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 53% over 47nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	47	25–22	53%	0.02
ancient	B	13	6–7	46%	0.03
anubis	B	12	6–6	50%	0.02
nuke	D	10	3–7	30%	0.03
cache	D	9	3–6	33%	0.02
inferno	C	8	3–5	38%	0.01
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

357,418Lifetime kills

1.09K/D · Top 50% of Level 10 players

16,245Matches

44.3%Match win rate

45.8%Headshot %

12.2%Shot accuracy

42,125MVPs

6,860Hours (in match)

19,221Bombs planted

3,320Bombs defused

Most-used weapons

AK-47116,070

AWP72,833

M4A4 / M4A1-S41,610

Desert Eagle26,613

P2000 / USP-S20,549

Glock-1810,361

Knife7,447

AUG6,854

Galil AR5,982

MP95,513

Lifetime map wins

63,770dust2

19,641inferno

6,630nuke

5,630train

5,548vertigo

1,228cbble

229lake

115office

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

Faceit stats

Combat

6,484Matches

51%Win rate

1.13Avg K/D

82.6ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1038	57%	1.26	17.5
Anubis	588	47%	1.15	16.3
Ancient	395	48%	1.11	16.6
Inferno	381	50%	1.16	16.4
Mirage	271	49%	1.06	15.4
Nuke	219	47%	1.10	17.1
Vertigo	151	53%	1.13	17.7
Train	119	54%	1.13	16.3

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

38.2%Accuracy (enemy spotted)

34.9%Spray accuracy

80.2%Counter-strafing

8.0°Preaim

441msReaction time

37.0%T opening success

45.9%CT opening success

0.70Enemies flashed / flash

12.9%Flash assists

9.11HE damage / grenade

7.62Flashes / 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 36.9811% — 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.

30% win rate across 10 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
inferno	13–8	0.02	23%	28 Aug →
dust2	3–13	-0.04	14%	28 Aug →
ancient	16–12	0.06	16%	28 Aug →
ancient	9–13	0.06	24%	28 Aug →
dust2	13–11	-0.01	12%	28 Aug →
dust2	9–13	0.02	29%	25 Aug →
dust2	8–13	-0.01	20%	25 Aug →
anubis	13–10	0.00	16%	24 Aug →
nuke	10–13	-0.06	17%	22 Aug →
dust2	13–5	0.04	37%	22 Aug →
nuke	8–13	0.03	16%	21 Aug →
dust2	13–6	0.23	28%	20 Aug →
nuke	9–13	-0.05	20%	19 Aug →
anubis	9–13	-0.05	13%	19 Aug →
dust2	13–8	0.09	20%	18 Aug →
dust2	8–13	0.03	15%	17 Aug →
dust2	16–13	-0.02	14%	17 Aug →
anubis	4–13	-0.04	15%	16 Aug →
anubis	10–5	0.13	14%	16 Aug →
cache	7–13	0.00	18%	16 Aug →
dust2	7–13	-0.06	17%	16 Aug →
dust2	13–1	0.06	29%	16 Aug →
cache	13–11	0.02	5%	16 Aug →
cache	8–13	0.08	24%	14 Aug →
nuke	13–3	0.08	24%	14 Aug →
dust2	16–13	0.00	9%	14 Aug →
dust2	13–1	0.00	50%	13 Aug →
dust2	9–13	0.02	15%	13 Aug →
dust2	13–7	0.02	12%	12 Aug →
nuke	8–13	0.04	26%	12 Aug →
cache	5–13	-0.01	17%	11 Aug →
dust2	13–9	-0.00	15%	11 Aug →
dust2	13–5	0.02	3%	11 Aug →
dust2	15–15	-0.02	14%	11 Aug →
dust2	13–9	0.02	13%	11 Aug →
ancient	8–13	0.01	16%	11 Aug →
nuke	3–13	0.00	22%	11 Aug →
dust2	6–13	0.06	8%	11 Aug →
dust2	13–10	0.02	15%	10 Aug →
dust2	12–16	0.01	23%	10 Aug →
dust2	13–2	0.10	14%	10 Aug →
dust2	1–13	-0.05	19%	10 Aug →
cache	9–13	0.06	14%	10 Aug →
dust2	7–13	-0.01	14%	10 Aug →
inferno	12–16	-0.04	18%	9 Aug →
dust2	13–3	0.03	26%	9 Aug →
dust2	13–10	-0.00	9%	9 Aug →
dust2	10–13	-0.00	24%	7 Aug →
inferno	13–4	0.06	38%	7 Aug →
dust2	5–13	-0.03	14%	7 Aug →
nuke	13–11	0.05	23%	7 Aug →
dust2	1–13	-0.03	14%	7 Aug →
ancient	13–8	-0.01	17%	7 Aug →
ancient	1–9	-0.02	31%	6 Aug →
inferno	13–9	-0.02	15%	6 Aug →
dust2	13–10	0.10	18%	6 Aug →
ancient	5–13	0.01	10%	6 Aug →
cache	13–9	0.04	18%	6 Aug →
nuke	13–6	0.01	16%	6 Aug →
dust2	13–11	-0.02	28%	6 Aug →
ancient	13–7	0.05	29%	6 Aug →
nuke	7–13	0.04	20%	6 Aug →
ancient	4–13	0.06	39%	5 Aug →
ancient	3–13	-0.08	13%	5 Aug →
anubis	5–13	-0.04	17%	5 Aug →
inferno	6–13	-0.03	27%	5 Aug →
vertigo	7–13	-0.04	18%	5 Aug →
ancient	13–9	0.11	15%	5 Aug →
nuke	11–13	0.11	13%	4 Aug →
inferno	7–13	0.02	15%	4 Aug →
dust2	8–13	0.02	16%	4 Aug →
anubis	13–9	0.12	18%	4 Aug →
dust2	9–2	0.04	33%	4 Aug →
dust2	16–14	0.07	17%	2 Aug →
cache	13–6	0.01	5%	2 Aug →
dust2	6–13	-0.01	6%	2 Aug →
dust2	5–13	0.04	26%	2 Aug →
dust2	13–2	0.15	32%	2 Aug →
cache	6–13	-0.03	16%	2 Aug →
inferno	7–13	0.05	17%	2 Aug →
dust2	10–13	-0.00	11%	2 Aug →
dust2	13–10	-0.01	32%	2 Aug →
anubis	8–13	0.06	27%	2 Aug →
anubis	13–9	0.05	30%	1 Aug →
dust2	13–7	0.03	17%	1 Aug →
ancient	13–6	0.05	15%	31 Jul →
anubis	13–9	0.05	20%	31 Jul →
anubis	11–13	0.02	32%	31 Jul →
ancient	13–7	0.10	21%	31 Jul →
cache	3–13	-0.01	23%	31 Jul →
anubis	19–17	0.03	16%	31 Jul →
inferno	7–13	0.04	30%	30 Jul →
dust2	13–5	0.10	11%	30 Jul →
dust2	8–13	-0.00	7%	30 Jul →
dust2	3–13	0.04	25%	30 Jul →
dust2	5–13	0.03	18%	30 Jul →
anubis	4–13	-0.04	14%	30 Jul →
dust2	4–13	0.04	24%	30 Jul →
dust2	13–11	0.05	19%	29 Jul →
ancient	15–15	0.04	25%	29 Jul →