I ❤ Hot Moms (happily married) — CS2 Stats

US76561198021862399[U:1:61596671]Steam profile ↗✓ No bans

2,111Tracked matches43%Win rate2020Tracked since

1,865Hours in CS15Hrs last 2 wks

CSDB Rating5.2 Developing

Premier CS Rating21,688Pink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#6652 of 19852 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning46

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWWLWWWLLLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Aim5.9

Aggression4.6

Utility6.1

Positioning4.6

Opening Duels0.3

Clutch6.6

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim5.9

Positioning4.6

Utility6.1

Mechanics7.3

Opening Duels1.4

Win Impact2.8

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time617ms+12ms

first ⅓ avg 605ms → last ⅓ avg 617ms

Headshot accuracy11.5%−2.3%

first ⅓ avg 13.8% → last ⅓ avg 11.5%

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.

Highlights

0.11Best rating — inferno 13–10

13–1Biggest win — train

6Longest win streak

W2Current streak

7–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 78% over 9nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	12–8	60%	0.01
ancient	A	19	12–7	63%	-0.00
cache	C	14	6–8	43%	-0.02
nuke	D	12	3–9	25%	-0.00
anubis	C	12	5–7	42%	0.00
inferno	S	11	8–3	73%	0.01
mirage	S	9	7–2	78%	-0.00
vertigo	—	2	1–1	50%	0.01
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,436Lifetime kills

1.05K/D

2,979Matches

44.5%Match win rate

43.6%Headshot %

4.2%Shot accuracy

5,821MVPs

1,127Hours (in match)

2,983Bombs planted

802Bombs defused

Most-used weapons

AK-4724,081

M4A4 / M4A1-S12,577

AWP4,257

P2000 / USP-S4,111

Glock-182,112

MP91,611

MAC-101,135

Desert Eagle1,102

Galil AR950

Tec-9899

Lifetime map wins

5,401dust2

3,878nuke

3,384inferno

2,435vertigo

853train

23office

16lake

14ar_shoots

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

Faceit stats

Combat

55Matches

51%Win rate

0.95Avg K/D

74.2ADR

44%Headshot %

Clutches & streaks

53%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	50%	0.89	13.3
Inferno	8	62%	0.96	12.8
Ancient	7	57%	1.08	15.0
Dust2	6	67%	1.06	16.7
Nuke	4	25%	1.12	19.5
Vertigo	3	33%	0.68	7.3
Train	2	50%	1.04	17.0
Anubis	1	0%	0.71	12.0

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.

11.3%Headshot accuracy

33.6%Accuracy (enemy spotted)

37.5%Spray accuracy

83.0%Counter-strafing

9.9°Preaim

612msReaction time

21.3%T opening success

41.3%CT opening success

0.72Enemies flashed / flash

5.3%Flash assists

12.72HE damage / grenade

9.02Flashes / 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 11.3358% — below the 15% mark we flag
Aim Training →
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 21.3491% — 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.

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

Show all 100 matchesShow fewer

Match data via Leetify.

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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