56 bmi gamer — CS2 Stats

CN76561199206997250[U:1:1246731522]Steam profile ↗✓ No bans

899Tracked matches43%Win rate2023Tracked since

879Hours in CS4Hrs last 2 wks

CSDB Rating5.5 SolidSupport

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+84Tracked matches · now 899

+14.9ppWin rate · 28.0% → 42.9%

Rating over time

28Days played since 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	66.2%	43.8%	44.8%	above
Shot accuracy	0.6%	12.0%	12.4%	11.9% short
Kill/death ratio	1.49	1.02	1.03	above
Match win rate	46.3%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim63

Positioning52

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY39–51–10Last 10039%Win rateLWTLWWWWWL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +0.3pp headshot accuracy · +18ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 707ms

Last 10

6–3–1 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 676ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 667ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.3

Utility5.2

Positioning5.2

Opening Duels2.5

Clutch0.0

Effective flashes

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 Twistzz 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

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

Reaction time. 692ms 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

Aim6.3

Positioning5.2

Utility5.2

Mechanics8.1

Opening Duels3.3

Win Impact2.6

Composite 5.5/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time677ms+43ms

first ⅓ avg 634ms → last ⅓ avg 677ms

Headshot accuracy24.5%−2.7%

first ⅓ avg 27.2% → last ⅓ avg 24.5%

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.

Personal bests

0.15Best match rating · 9–2 · inferno, 24 Sept →

78%Best headshot accuracy · 3–7 · nuke, 14 Oct →

414msFastest reaction time · 1–13 · vertigo, 20 Oct →

13–3Biggest win · nuke, 28 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–6In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 50% over 8cacheWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	10–17	37%	0.00
mirage	B	25	12–13	48%	0.01
nuke	C	15	6–9	40%	-0.02
vertigo	C	10	4–6	40%	0.01
cache	D	9	1–8	11%	0.00
anubis	B	8	4–4	50%	-0.03
inferno	—	3	1–2	33%	0.03
ancient	—	1	0–1	0%	0.03
overpass	—	1	1–0	100%	0.07
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

28,110Lifetime kills

1.49K/D · Top 5% of Level 5 players

980Matches

46.3%Match win rate · Top 50% of Level 5 players

66.2%Headshot % · Top 5% of Level 5 players

0.6%Shot accuracy

2,352MVPs

699Hours (in match)

898Bombs planted

427Bombs defused

Most-used weapons

AK-4713,906

M4A4 / M4A1-S5,365

P2000 / USP-S2,045

Desert Eagle1,903

MP9907

Glock-18832

AWP770

MAC-10381

Galil AR254

MAG-7243

Lifetime map wins

1,742dust2

1,413nuke

840vertigo

366train

335inferno

300office

6italy

2ar_baggage

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

Faceit stats

Combat

73Matches

53%Win rate

0.91Avg K/D

70.1ADR

43%Headshot %

Clutches & streaks

0%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	52%	0.90	11.9
Vertigo	14	64%	1.07	13.9
Nuke	8	25%	0.64	11.9
Anubis	6	50%	1.03	17.3
Overpass	6	67%	0.92	17.8
Ancient	5	60%	0.64	11.8
Dust2	5	40%	0.83	11.4
Inferno	1	100%	1.82	20.0

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.

23.2%Headshot accuracy

34.0%Accuracy (enemy spotted)

36.2%Spray accuracy

86.4%Counter-strafing

12.1°Preaim

692msReaction time

44.3%T opening success

42.0%CT opening success

0.71Enemies flashed / flash

4.7%Flash assists

10.46HE damage / grenade

10.78Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1196° — above the 12° mark we flag
Aim Training →

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	4–13	-0.04	26%	5 Nov →
dust2	13–4	0.07	24%	5 Nov →
cache	12–12	-0.06	11%	5 Nov →
dust2	7–13	-0.06	28%	5 Nov →
nuke	13–3	-0.03	8%	28 Oct →
dust2	13–11	-0.01	13%	28 Oct →
mirage	13–10	0.00	24%	28 Oct →
dust2	13–11	0.03	25%	21 Oct →
mirage	13–7	0.00	20%	21 Oct →
nuke	9–13	-0.06	30%	21 Oct →
dust2	4–13	0.00	20%	21 Oct →
ancient	8–13	0.03	18%	20 Oct →
vertigo	1–13	-0.08	12%	20 Oct →
nuke	13–4	-0.07	14%	19 Oct →
cache	13–4	-0.02	21%	19 Oct →
mirage	10–13	-0.02	15%	18 Oct →
dust2	2–13	0.01	35%	18 Oct →
mirage	5–13	-0.01	22%	17 Oct →
vertigo	13–5	-0.05	16%	17 Oct →
cache	5–11	0.09	33%	17 Oct →
nuke	13–7	0.06	34%	16 Oct →
dust2	11–13	0.03	25%	16 Oct →
dust2	11–13	0.06	24%	16 Oct →
dust2	10–6	-0.02	33%	14 Oct →
cache	12–12	0.01	26%	14 Oct →
mirage	13–6	-0.05	29%	14 Oct →
nuke	3–7	0.03	78%	14 Oct →
cache	2–13	-0.02	36%	14 Oct →
nuke	6–13	0.00	15%	12 Oct →
anubis	4–13	-0.08	10%	12 Oct →
anubis	13–11	-0.02	23%	11 Oct →
nuke	6–13	-0.09	19%	11 Oct →
vertigo	10–13	0.02	42%	11 Oct →
mirage	13–8	0.02	28%	10 Oct →
mirage	11–13	0.01	25%	10 Oct →
mirage	13–6	0.01	31%	10 Oct →
dust2	11–13	0.01	23%	10 Oct →
mirage	13–9	-0.04	19%	9 Oct →
anubis	13–10	-0.04	26%	9 Oct →
dust2	13–5	0.05	22%	9 Oct →
overpass	13–8	0.07	18%	9 Oct →
mirage	10–13	0.07	20%	9 Oct →
mirage	13–6	0.05	39%	9 Oct →
cache	5–13	-0.00	26%	9 Oct →
dust2	13–4	-0.02	14%	8 Oct →
mirage	12–12	-0.02	20%	8 Oct →
nuke	13–9	0.02	22%	8 Oct →
vertigo	13–6	0.00	23%	8 Oct →
mirage	13–11	-0.01	25%	8 Oct →
nuke	13–11	0.01	30%	8 Oct →
dust2	5–13	-0.05	29%	8 Oct →
anubis	13–3	-0.01	14%	5 Oct →
mirage	3–13	-0.03	13%	5 Oct →
nuke	8–13	0.07	27%	5 Oct →
dust2	6–8	-0.09	19%	3 Oct →
mirage	13–9	-0.03	27%	3 Oct →
cache	12–12	0.05	26%	3 Oct →
nuke	8–13	-0.02	16%	2 Oct →
vertigo	13–8	0.08	25%	2 Oct →
train	8–13	-0.03	23%	2 Oct →
dust2	13–3	0.03	31%	29 Sept →
dust2	4–13	-0.08	21%	29 Sept →
cache	10–13	-0.04	42%	29 Sept →
mirage	6–13	0.01	40%	28 Sept →
mirage	12–12	0.10	40%	26 Sept →
nuke	10–13	-0.10	35%	26 Sept →
dust2	10–13	0.04	21%	26 Sept →
dust2	8–13	-0.05	36%	24 Sept →
vertigo	8–13	-0.00	23%	24 Sept →
mirage	13–4	0.13	27%	24 Sept →
inferno	2–9	-0.10	26%	24 Sept →
inferno	9–2	0.15	27%	24 Sept →
dust2	10–5	0.09	24%	24 Sept →
inferno	8–8	0.04	35%	24 Sept →
mirage	13–8	0.05	33%	23 Sept →
vertigo	11–13	0.02	38%	23 Sept →
mirage	3–13	-0.06	19%	23 Sept →
vertigo	10–0	0.11	21%	23 Sept →
dust2	5–13	-0.06	24%	23 Sept →
dust2	13–7	0.02	27%	23 Sept →
mirage	1–13	0.05	32%	23 Sept →
vertigo	7–13	0.00	19%	23 Sept →
anubis	3–13	-0.05	20%	23 Sept →
anubis	13–8	0.13	30%	20 Sept →
mirage	8–13	0.01	28%	19 Sept →
dust2	9–13	-0.01	20%	19 Sept →
dust2	8–13	0.01	33%	17 Sept →
dust2	8–13	-0.03	18%	17 Sept →
dust2	13–11	-0.01	24%	16 Sept →
cache	4–13	0.00	8%	16 Sept →
anubis	12–12	-0.05	16%	16 Sept →
mirage	7–13	-0.02	35%	16 Sept →
nuke	7–13	0.02	31%	16 Sept →
mirage	12–12	-0.04	23%	16 Sept →
anubis	2–13	-0.13	33%	14 Sept →
mirage	13–4	-0.02	39%	14 Sept →
nuke	5–13	-0.12	47%	14 Sept →
dust2	12–12	0.07	26%	13 Sept →
nuke	13–8	-0.04	27%	13 Sept →
dust2	12–12	0.03	25%	13 Sept →