★ BoXe69 ★ — CS2 Stats

IL76561198855722007[U:1:895456279]Steam profile ↗✓ No bans

1,405Tracked matches46%Win rate2020Tracked since

2,551Hours in CS

CSDB Rating6.8 SolidPositional Player

Premier CS Rating25,537Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#17542 of 261517 tracked

FaceitLevel 10 · 2,469 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,537 +119 17 Jul – 9 Nov · 16 days played

Faceit ELO: 2,469 +0 13 Sept – 21 Sept · 2 observations

25,691Peak Premier in tracked matches

2,469Highest Faceit ELO seen on CSDB

49Days played since 2026-07-16

Faceit ELO

At peak — 2,469
Next: 2,500 ELO at 2,500 — 31 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-13
Level 9 first seen 2026-09-13

Premier CS Rating

121 below peak (25,658)
+660 over 90 days
Next: Gold band at 30,000 — 4,463 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-13
Purple band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	50.8%	50.9%
Shot accuracy	13.9%	13.7%
Kill/death ratio	1.51	1.09
Match win rate	51.8%	48.4%

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Performance scores

Aim79

Positioning71

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY42–47–11Last 10042%Win rateWTLLWLWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +4.4pp headshot accuracy · −34ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 37%
Avg reaction 555ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 31%
Avg reaction 549ms

Last 20

7–10–3 · 35% win rate
Avg rating 0.05
Avg headshot accuracy 29%
Avg reaction 566ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.9

Utility5.2

Positioning7.1

Opening Duels4.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like m0NESY 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 587ms 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

Aim7.9

Positioning7.1

Utility5.2

Mechanics6.1

Opening Duels5.7

Win Impact3.8

Composite 6.8/10 (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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time575ms−3ms

first ⅓ avg 578ms → last ⅓ avg 575ms

Headshot accuracy28.2%−5.1%

first ⅓ avg 33.3% → last ⅓ avg 28.2%

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.

Personal bests

0.22Best match rating · 13–3 · cache, 18 Jul →

60%Best headshot accuracy · 5–0 · shelter, 22 Jul →

367msFastest reaction time · 12–12 · office, 17 Jul →

13–2Biggest win · mirage, 22 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

13–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 39% over 44infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	44	17–27	39%	0.04
mirage	C	26	10–16	38%	0.03
inferno	D	11	3–8	27%	0.04
office	D	6	2–4	33%	0.08
nuke	—	3	1–2	33%	-0.00
anubis	—	3	2–1	67%	-0.05
cache	—	2	2–0	100%	0.15
vertigo	—	2	2–0	100%	0.09
ancient	—	1	1–0	100%	0.08
shelter	—	1	1–0	100%	0.09
italy	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

193,653Lifetime kills

1.51K/D · Top 10% of Level 10 players

6,855Matches

51.8%Match win rate · Top 25% of Level 10 players

50.8%Headshot %

13.9%Shot accuracy · Top 50% of Level 10 players

49,186MVPs

2,551Hours (in match)

19,450Bombs planted

10,961Bombs defused

Most-used weapons

AK-4746,986

AWP43,234

M4A4 / M4A1-S24,796

Desert Eagle17,897

P2000 / USP-S12,739

Glock-1812,392

SG 5534,729

SSG 084,233

Knife4,056

P2503,147

Lifetime map wins

21,607dust2

13,667inferno

3,769vertigo

3,068nuke

2,012cbble

1,271train

168office

125lake

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

Faceit stats

Combat

848Matches

54%Win rate

1.32Avg K/D

90.5ADR

50%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	216	49%	1.34	19.5
Dust2	183	58%	1.38	19.4
Inferno	70	54%	1.32	19.8
Ancient	40	58%	1.29	18.8
Anubis	35	54%	1.13	17.2
Nuke	28	43%	1.24	19.2
Overpass	23	48%	1.46	20.3
Cache	6	50%	1.50	20.5

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.

28.0%Headshot accuracy

34.1%Accuracy (enemy spotted)

35.6%Spray accuracy

77.3%Counter-strafing

9.2°Preaim

587msReaction time

61.5%T opening success

44.1%CT opening success

0.56Enemies flashed / flash

4.1%Flash assists

10.13HE damage / grenade

8.36Flashes / match

Recommended for you

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.

27% win rate across 11 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
mirage	13–11	0.12	24%	13 Nov →
inferno	8–8	0.04	24%	11 Nov →
dust2	3–13	0.01	59%	9 Nov →
dust2	2–13	-0.04	44%	7 Nov →
mirage	13–10	0.00	33%	6 Nov →
mirage	6–13	-0.03	27%	31 Oct →
mirage	13–5	0.11	25%	30 Oct →
dust2	13–11	0.04	23%	30 Oct →
mirage	11–13	0.14	34%	27 Oct →
dust2	4–13	0.05	18%	25 Oct →
dust2	13–11	0.06	32%	18 Oct →
dust2	6–13	0.09	39%	18 Oct →
dust2	6–13	0.13	32%	16 Oct →
dust2	6–13	0.00	23%	14 Oct →
dust2	5–13	-0.01	28%	11 Oct →
dust2	13–11	0.08	22%	11 Oct →
dust2	1–13	0.01	15%	8 Oct →
dust2	12–12	0.06	28%	7 Oct →
inferno	8–8	0.06	29%	30 Sept →
dust2	13–11	0.06	20%	30 Sept →
cache	13–9	0.08	29%	30 Sept →
inferno	3–9	-0.02	43%	28 Sept →
nuke	6–9	0.01	19%	26 Sept →
mirage	16–14	-0.03	15%	26 Sept →
dust2	9–13	-0.00	26%	24 Sept →
ancient	13–8	0.08	35%	23 Sept →
dust2	13–16	0.06	25%	18 Sept →
mirage	4–13	0.03	16%	18 Sept →
mirage	13–7	-0.02	33%	16 Sept →
mirage	13–10	-0.01	24%	9 Sept →
inferno	9–7	0.14	28%	8 Sept →
anubis	13–5	-0.09	17%	6 Sept →
dust2	4–13	0.05	41%	1 Sept →
dust2	12–12	0.02	23%	31 Aug →
dust2	6–13	0.07	45%	30 Aug →
dust2	12–12	0.06	45%	30 Aug →
mirage	13–9	0.08	20%	27 Aug →
inferno	16–12	-0.03	14%	25 Aug →
dust2	8–13	0.02	28%	23 Aug →
inferno	13–9	0.09	42%	21 Aug →
mirage	8–13	0.05	35%	21 Aug →
dust2	13–10	0.06	22%	21 Aug →
dust2	4–13	0.06	31%	21 Aug →
mirage	10–13	0.06	13%	20 Aug →
inferno	4–9	0.06	21%	20 Aug →
dust2	7–13	0.07	30%	19 Aug →
mirage	13–11	0.03	14%	19 Aug →
dust2	10–13	0.07	35%	19 Aug →
mirage	12–12	-0.01	29%	16 Aug →
mirage	13–10	0.01	20%	16 Aug →
inferno	6–9	0.06	30%	15 Aug →
mirage	5–13	0.01	17%	15 Aug →
dust2	10–13	0.04	30%	13 Aug →
dust2	14–16	-0.03	31%	13 Aug →
dust2	9–0	-0.00	50%	13 Aug →
dust2	10–13	0.03	33%	6 Aug →
nuke	3–9	-0.04	38%	6 Aug →
inferno	5–9	0.04	47%	6 Aug →
dust2	13–11	0.04	40%	6 Aug →
dust2	13–11	-0.02	33%	6 Aug →
anubis	13–10	0.03	28%	5 Aug →
dust2	13–6	0.16	32%	29 Jul →
dust2	5–13	0.02	24%	29 Jul →
dust2	6–13	0.01	23%	25 Jul →
dust2	13–11	0.04	30%	25 Jul →
office	13–7	0.14	43%	24 Jul →
mirage	9–13	0.03	32%	24 Jul →
mirage	8–13	0.01	36%	24 Jul →
dust2	13–11	-0.01	15%	24 Jul →
mirage	4–13	0.01	35%	22 Jul →
nuke	13–9	0.03	29%	22 Jul →
mirage	13–2	0.08	36%	22 Jul →
office	13–4	0.12	45%	22 Jul →
mirage	12–12	-0.02	25%	22 Jul →
shelter	5–0	0.09	60%	22 Jul →
dust2	13–9	0.07	29%	21 Jul →
mirage	15–15	0.05	41%	20 Jul →
dust2	13–7	0.09	36%	20 Jul →
office	12–12	0.02	11%	20 Jul →
mirage	9–13	0.03	9%	20 Jul →
dust2	1–9	-0.04	43%	19 Jul →
office	10–13	0.09	37%	19 Jul →
office	0–13	0.00	58%	19 Jul →
dust2	13–8	0.03	26%	19 Jul →
mirage	6–13	0.00	22%	19 Jul →
inferno	8–13	-0.00	53%	19 Jul →
dust2	13–6	0.05	30%	19 Jul →
mirage	10–13	-0.01	28%	18 Jul →
dust2	13–9	0.04	34%	18 Jul →
dust2	12–12	0.10	28%	18 Jul →
anubis	5–13	-0.09	37%	18 Jul →
dust2	13–11	0.04	39%	18 Jul →
vertigo	13–10	0.11	39%	18 Jul →
vertigo	13–8	0.06	29%	18 Jul →
cache	13–3	0.22	47%	18 Jul →
mirage	12–16	0.10	22%	17 Jul →
inferno	9–13	-0.02	21%	17 Jul →
office	12–12	0.10	39%	17 Jul →
italy	13–6	0.03	34%	17 Jul →
dust2	10–13	-0.01	25%	16 Jul →