Mr. Moneybags — CS2 Stats

76561198124008334[U:1:163742606]

1,446Tracked matches48%Win rate2020Tracked since

2,490Hours in CS3Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating13,577Blue band · top ~35.9% of ranked players (population est.)

CSDB Leaderboard#9733 of 14261 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning49

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLLWWWLWWTL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression5.9

Utility3.5

Positioning4.9

Opening Duels2.2

Clutch5.0

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 Twistzz 85% playstyle similarity

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

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. 615ms 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

Aim6.9

Positioning4.9

Utility3.5

Mechanics7.6

Opening Duels2.2

Win Impact4.3

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time610ms−34ms

first ⅓ avg 645ms → last ⅓ avg 610ms

Headshot accuracy19.1%−1.3%

first ⅓ avg 20.5% → last ⅓ avg 19.1%

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 — inferno 11–3

13–1Biggest win — ancient

6Longest win streak

L2Current streak

13–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 67% over 12nukeWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	11–9	55%	0.00
mirage	B	17	8–9	47%	0.00
nuke	D	13	3–10	23%	0.01
inferno	S	12	8–4	67%	0.04
ancient	A	11	7–4	64%	0.04
cache	B	10	5–5	50%	0.03
anubis	S	6	4–2	67%	0.01
train	S	6	4–2	67%	0.03
shelter	—	2	2–0	100%	0.07
office	—	1	0–1	0%	0.10
boulder	—	1	0–1	0%	-0.13
alpine	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,131Lifetime kills

0.87K/D

3,564Matches

39.8%Match win rate

46.2%Headshot % · Top 50% of tracked players

12.4%Shot accuracy · Top 50% of tracked players

5,260MVPs

1,649Hours (in match)

2,182Bombs planted

497Bombs defused

Most-used weapons

AK-4713,374

M4A4 / M4A1-S7,615

Desert Eagle5,204

AWP4,715

P2000 / USP-S3,346

Glock-182,164

MAG-71,662

MAC-101,211

AUG1,174

MP91,149

Lifetime map wins

4,178dust2

2,859nuke

2,569inferno

1,616train

1,570vertigo

876office

52cbble

47italy

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

Faceit stats

Combat

57Matches

53%Win rate

0.94Avg K/D

78.2ADR

50%Headshot %

Clutches & streaks

45%1v1 clutch win

11%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	67%	1.08	16.4
Dust2	9	44%	0.84	12.7
Nuke	7	29%	0.91	14.1
Ancient	6	83%	1.14	14.2
Anubis	6	67%	1.04	14.0
Inferno	5	40%	0.79	11.2
Overpass	5	20%	0.85	14.2
Train	1	100%	1.90	19.0

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.

18.6%Headshot accuracy

35.1%Accuracy (enemy spotted)

36.6%Spray accuracy

84.4%Counter-strafing

10.8°Preaim

615msReaction time

33.6%T opening success

43.7%CT opening success

0.44Enemies flashed / flash

3.3%Flash assists

6.53HE damage / grenade

6.25Flashes / 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.

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 0.4438 — 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 33.5852% — 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.

23% win rate across 13 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
anubis	6–13	0.00	12%	25 Aug →
dust2	9–13	-0.07	13%	25 Aug →
dust2	13–6	0.09	17%	15 Aug →
inferno	13–7	0.03	19%	15 Aug →
ancient	6–4	-0.09	15%	15 Aug →
cache	5–13	0.01	24%	15 Aug →
ancient	13–7	0.09	11%	7 Aug →
mirage	13–11	-0.06	20%	6 Aug →
ancient	12–12	0.11	21%	6 Aug →
dust2	7–13	0.03	17%	6 Aug →
nuke	12–12	0.00	19%	5 Aug →
anubis	13–6	0.01	25%	5 Aug →
dust2	13–3	0.11	10%	5 Aug →
mirage	9–13	0.08	18%	5 Aug →
mirage	5–13	-0.04	16%	28 Jul →
dust2	8–13	0.01	24%	28 Jul →
cache	8–13	-0.06	20%	26 Jul →
ancient	6–13	0.02	19%	26 Jul →
dust2	13–4	-0.03	19%	23 Jul →
train	12–12	-0.00	21%	23 Jul →
anubis	13–9	0.00	22%	17 Jul →
train	11–13	-0.02	57%	17 Jul →
ancient	8–13	-0.04	24%	17 Jul →
cache	9–13	-0.03	18%	17 Jul →
dust2	7–13	-0.07	27%	16 Jul →
mirage	12–12	-0.01	11%	16 Jul →
mirage	16–14	-0.02	19%	16 Jul →
ancient	13–10	0.02	19%	16 Jul →
cache	13–9	0.09	11%	16 Jul →
mirage	12–12	0.02	18%	16 Jul →
inferno	6–13	0.03	22%	15 Jul →
dust2	12–16	-0.00	11%	15 Jul →
ancient	13–11	0.02	12%	15 Jul →
nuke	11–13	0.00	9%	15 Jul →
inferno	9–13	-0.02	13%	14 Jul →
inferno	8–13	0.00	32%	14 Jul →
anubis	11–2	0.03	14%	14 Jul →
nuke	3–13	-0.04	13%	14 Jul →
dust2	13–9	0.06	10%	14 Jul →
nuke	12–12	0.02	18%	13 Jul →
mirage	11–13	-0.03	11%	13 Jul →
inferno	13–11	-0.02	5%	13 Jul →
shelter	13–11	-0.03	17%	13 Jul →
mirage	5–13	-0.00	13%	13 Jul →
mirage	11–13	-0.02	17%	12 Jul →
ancient	7–13	-0.03	16%	12 Jul →
inferno	13–7	0.07	17%	12 Jul →
inferno	5–13	-0.05	2%	11 Jul →
cache	7–13	0.00	18%	11 Jul →
mirage	13–11	-0.02	15%	10 Jul →
dust2	13–11	0.00	9%	10 Jul →
office	7–13	0.10	27%	10 Jul →
train	13–8	0.09	27%	10 Jul →
dust2	2–8	-0.02	15%	9 Jul →
inferno	13–5	0.03	14%	9 Jul →
mirage	16–14	0.01	19%	9 Jul →
nuke	3–4	0.01	30%	9 Jul →
ancient	13–1	0.19	12%	9 Jul →
cache	13–7	-0.00	15%	9 Jul →
nuke	10–13	-0.01	29%	9 Jul →
dust2	3–13	-0.05	16%	9 Jul →
cache	4–13	-0.02	16%	9 Jul →
nuke	11–13	0.10	23%	9 Jul →
boulder	4–13	-0.13	50%	9 Jul →
shelter	13–6	0.16	29%	9 Jul →
cache	13–11	0.13	14%	8 Jul →
dust2	13–8	0.03	12%	8 Jul →
nuke	10–13	0.03	15%	8 Jul →
dust2	13–10	0.07	13%	8 Jul →
mirage	13–10	0.01	11%	8 Jul →
cache	13–8	0.06	19%	7 Jul →
dust2	13–4	-0.03	23%	6 Jul →
inferno	13–9	0.05	18%	5 Jul →
nuke	6–13	-0.04	36%	5 Jul →
inferno	13–8	0.01	8%	5 Jul →
mirage	13–4	0.06	15%	4 Jul →
cache	13–11	0.08	22%	4 Jul →
dust2	13–8	-0.01	17%	4 Jul →
ancient	13–4	0.06	14%	4 Jul →
mirage	13–5	0.06	15%	4 Jul →
nuke	10–13	0.03	19%	4 Jul →
ancient	13–6	0.06	24%	24 Jun →
dust2	9–13	-0.03	30%	24 Jun →
train	13–3	0.06	50%	24 Jun →
train	13–10	0.02	21%	23 Jun →
dust2	13–1	0.06	18%	23 Jun →
alpine	4–13	-0.03	10%	23 Jun →
anubis	13–11	0.02	24%	22 Jun →
nuke	7–13	0.02	20%	22 Jun →
mirage	11–13	0.01	15%	22 Jun →
nuke	13–8	-0.00	12%	22 Jun →
anubis	8–13	-0.02	16%	22 Jun →
mirage	13–10	0.04	15%	22 Jun →
train	13–10	0.06	26%	21 Jun →
mirage	10–13	-0.04	22%	20 Jun →
nuke	13–10	0.03	27%	20 Jun →
inferno	13–7	0.05	15%	20 Jun →
inferno	11–3	0.23	43%	20 Jun →
dust2	11–13	-0.08	21%	19 Jun →
dust2	13–9	0.01	19%	19 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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