Bingmo — CS2 Stats

76561198085299632[U:1:125033904]Steam profile ↗

427Tracked matches48%Win rate2020Tracked since

802Hours in CS6Hrs last 2 wks

CSDB Rating4.3 Developing

Premier CS Rating15,614Purple band · top ~26% of ranked players (population est.)

CSDB Leaderboard#12893 of 20796 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median	vs Pink band
Headshot rate	35.7%	48.1%	12.4% short
Shot accuracy	8.4%	12.9%	4.4% short
Kill/death ratio	0.99	1.08	0.10 short
Match win rate	47.4%	46.5%	above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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Performance scores

Aim52

Positioning44

Utility20

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLTWWLLWWLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.2

Aggression2.9

Utility2.0

Positioning4.4

Opening Duels1.1

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 NiKo 74% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

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

Reaction time. 630ms 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

Aim5.2

Positioning4.4

Utility2.0

Mechanics6.9

Opening Duels1.2

Win Impact4.4

Composite 4.3/10 (Developing), 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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time629ms−47ms

first ⅓ avg 676ms → last ⅓ avg 629ms

Headshot accuracy13.3%+0.2%

first ⅓ avg 13.1% → last ⅓ avg 13.3%

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

0.20Best rating — inferno 9–1

13–1Biggest win — dust2

8Longest win streak

5–2In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 67% over 18infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	41	20–21	49%	-0.03
mirage	S	18	12–6	67%	-0.00
ancient	C	12	5–7	42%	-0.01
inferno	C	10	4–6	40%	-0.00
cache	C	10	4–6	40%	-0.01
nuke	S	6	4–2	67%	0.02
anubis	—	3	1–2	33%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,225Lifetime kills

0.99K/D

1,322Matches

47.4%Match win rate · Top 50% of tracked players

35.7%Headshot %

8.4%Shot accuracy

1,981MVPs

418Hours (in match)

912Bombs planted

178Bombs defused

Most-used weapons

AWP5,505

M4A4 / M4A1-S2,674

AK-472,620

Desert Eagle886

SSG 08847

P90821

P2000 / USP-S720

Glock-18513

MP7259

AUG243

Lifetime map wins

6,741dust2

509inferno

257nuke

63train

32vertigo

28office

22cbble

7safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.3%Headshot accuracy

31.2%Accuracy (enemy spotted)

34.0%Spray accuracy

80.9%Counter-strafing

9.8°Preaim

630msReaction time

29.0%T opening success

39.9%CT opening success

0.23Enemies flashed / flash

3.2%Flash assists

11.65HE damage / grenade

0.59Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.315% — below the 15% mark we flag
Aim Training →
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 0.2309 — below the 0.5 mark we flag
Grenade Lineups →
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 29.0153% — below the 40% mark we flag

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.

40% win rate across 10 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
dust2	5–13	-0.08	6%	28 Aug →
dust2	12–12	0.03	15%	28 Aug →
nuke	16–13	0.03	16%	24 Aug →
anubis	13–11	0.04	16%	23 Aug →
inferno	11–13	-0.04	11%	23 Aug →
dust2	6–13	-0.08	2%	23 Aug →
mirage	13–8	-0.03	14%	17 Aug →
dust2	13–9	-0.09	20%	10 Aug →
mirage	6–13	-0.03	11%	10 Aug →
anubis	9–13	-0.11	8%	10 Aug →
cache	13–6	0.04	35%	5 Aug →
dust2	10–13	-0.03	21%	5 Aug →
dust2	13–1	0.01	14%	4 Aug →
dust2	13–9	-0.04	9%	3 Aug →
ancient	2–13	-0.04	10%	3 Aug →
nuke	13–9	-0.02	2%	2 Aug →
ancient	10–13	0.00	15%	2 Aug →
mirage	13–7	0.01	7%	1 Aug →
cache	2–13	-0.02	17%	1 Aug →
dust2	3–13	-0.05	11%	1 Aug →
dust2	16–14	-0.02	16%	1 Aug →
dust2	13–2	0.07	19%	31 Jul →
dust2	6–13	-0.04	13%	31 Jul →
ancient	5–13	-0.04	10%	31 Jul →
cache	2–13	-0.11	7%	31 Jul →
mirage	13–11	0.06	15%	30 Jul →
cache	8–13	-0.05	13%	24 Jul →
dust2	4–13	-0.05	5%	24 Jul →
mirage	13–10	-0.01	19%	24 Jul →
ancient	13–7	0.01	18%	24 Jul →
ancient	13–9	0.02	9%	20 Jul →
anubis	5–13	-0.07	9%	20 Jul →
ancient	13–6	-0.09	26%	20 Jul →
mirage	13–4	0.12	17%	18 Jul →
inferno	9–1	0.20	26%	18 Jul →
cache	9–13	-0.02	13%	17 Jul →
inferno	5–13	-0.08	9%	17 Jul →
cache	9–13	0.08	15%	17 Jul →
dust2	13–5	0.04	10%	17 Jul →
dust2	5–13	-0.04	8%	17 Jul →
dust2	13–3	-0.03	16%	13 Jul →
dust2	11–13	-0.05	12%	13 Jul →
inferno	6–13	0.02	6%	12 Jul →
dust2	13–10	-0.01	19%	11 Jul →
mirage	13–9	-0.01	19%	10 Jul →
dust2	0–13	-0.12	10%	10 Jul →
cache	13–11	-0.01	9%	10 Jul →
mirage	8–13	0.03	13%	9 Jul →
nuke	13–4	0.02	6%	8 Jul →
dust2	7–13	-0.04	9%	8 Jul →
dust2	16–14	-0.02	16%	5 Jul →
mirage	13–9	-0.02	11%	5 Jul →
dust2	13–7	-0.03	13%	5 Jul →
inferno	7–13	-0.09	11%	4 Jul →
mirage	10–13	0.01	18%	4 Jul →
dust2	10–13	-0.04	10%	3 Jul →
ancient	15–15	-0.02	7%	3 Jul →
mirage	9–13	-0.01	11%	2 Jul →
dust2	8–13	-0.02	7%	28 Jun →
inferno	9–13	-0.04	9%	26 Jun →
dust2	13–7	0.01	12%	26 Jun →
dust2	13–10	0.05	20%	22 Jun →
dust2	9–13	-0.05	8%	20 Jun →
dust2	12–12	-0.01	8%	19 Jun →
dust2	5–13	-0.05	9%	19 Jun →
nuke	13–3	0.01	6%	18 Jun →
mirage	5–13	-0.07	5%	17 Jun →
dust2	13–2	0.04	39%	17 Jun →
dust2	6–13	-0.05	24%	17 Jun →
dust2	5–13	-0.04	5%	16 Jun →
ancient	15–15	0.03	13%	15 Jun →
mirage	13–10	-0.02	10%	14 Jun →
nuke	12–12	-0.02	6%	14 Jun →
mirage	13–9	-0.03	9%	14 Jun →
dust2	13–3	-0.02	6%	14 Jun →
dust2	12–12	0.00	12%	12 Jun →
ancient	8–13	-0.00	5%	8 Jun →
mirage	13–9	-0.04	7%	7 Jun →
mirage	13–8	0.01	10%	7 Jun →
cache	13–8	0.00	15%	6 Jun →
ancient	13–9	0.01	18%	6 Jun →
cache	13–3	0.02	14%	5 Jun →
dust2	13–9	-0.00	18%	5 Jun →
mirage	13–9	0.04	17%	5 Jun →
inferno	13–6	0.04	8%	5 Jun →
ancient	9–13	-0.06	8%	5 Jun →
dust2	13–6	-0.04	0%	4 Jun →
dust2	13–8	-0.04	13%	4 Jun →
dust2	10–2	0.03	50%	31 May →
inferno	13–8	0.01	15%	28 May →
dust2	13–5	-0.07	18%	28 May →
inferno	12–7	0.01	11%	25 May →
dust2	13–7	-0.01	9%	25 May →
mirage	6–13	0.00	20%	25 May →
nuke	7–13	0.09	8%	25 May →
dust2	6–13	-0.05	11%	25 May →
dust2	9–13	-0.05	5%	24 May →
cache	10–13	-0.06	8%	24 May →
inferno	8–13	-0.05	14%	24 May →
ancient	13–3	0.11	5%	24 May →