MommaMady — CS2 Stats

CA76561199056806403[U:1:1096540675]Steam profile ↗✓ No bans

749Tracked matches36%Win rate2020Tracked since

CSDB Rating1.9 LearningClutch Specialist

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim25

Positioning30

Utility11

0–100 skill scores via Leetify.

Recent form

COLD33–53–14Last 10033%Win rateTLTWWLLLTW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · +38ms 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

2–1–2 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 17%
Avg reaction 742ms

Last 10

3–4–3 · 30% win rate
Avg rating -0.07
Avg headshot accuracy 16%
Avg reaction 715ms

Last 20

5–10–5 · 25% win rate
Avg rating -0.06
Avg headshot accuracy 17%
Avg reaction 696ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim2.5

Utility1.1

Positioning3.0

Opening Duels0.0

Clutch3.4

Limited utility dependence

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 82% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5

Positioning3.0

Utility1.1

Mechanics2.3

Opening Duels0.2

Win Impact0.3

Composite 1.9/10 (Learning), 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-0.05−0.02

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time679ms−95ms

first ⅓ avg 774ms → last ⅓ avg 679ms

Headshot accuracy16.0%−4.4%

first ⅓ avg 20.3% → last ⅓ avg 16.0%

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

0.08Best match rating · 13–4 · ancient, 26 Apr →

44%Best headshot accuracy · 12–12 · cache, 20 May →

438msFastest reaction time · 6–9 · inferno, 26 Oct →

13–1Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak

6–8In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 50% over 30nukeWeakest map · 22% over 32

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	32	7–25	22%	-0.05
cache	B	30	15–15	50%	-0.03
mirage	D	19	6–13	32%	-0.06
dust2	—	4	1–3	25%	-0.06
ancient	—	3	2–1	67%	-0.00
inferno	—	2	0–2	0%	-0.05
overpass	—	2	1–1	50%	-0.02
office	—	2	0–2	0%	-0.09
eldorado	—	1	0–1	0%	-0.15
poseidon	—	1	0–1	0%	-0.13
fachwerk	—	1	1–0	100%	0.00
shelter	—	1	0–1	0%	-0.07
vertigo	—	1	0–1	0%	-0.05
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 32). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches

32%Win rate

0.51Avg K/D

50.0ADR

57%Headshot %

Clutches & streaks

37%1v1 clutch win

17%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	40%	0.48	8.1
Dust2	9	22%	0.60	9.8
Inferno	6	50%	0.56	7.0
Anubis	3	0%	0.41	7.7
Nuke	2	0%	0.58	10.5
Ancient	2	0%	0.26	4.0
Cache	2	50%	0.43	8.0
Train	1	100%	0.75	18.0

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.

15.8%Headshot accuracy

28.5%Accuracy (enemy spotted)

30.0%Spray accuracy

60.4%Counter-strafing

11.3°Preaim

673msReaction time

26.4%T opening success

31.5%CT opening success

0.14Enemies flashed / flash

4.6%Flash assists

5.36HE damage / grenade

0.72Flashes / 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 0.141 — 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 26.3934% — 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.

22% win rate across 32 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
nuke	12–12	-0.02	13%	2 Nov →
nuke	10–13	-0.07	13%	31 Oct →
inferno	8–8	-0.04	16%	31 Oct →
mirage	13–3	0.03	21%	31 Oct →
nuke	13–10	-0.05	20%	31 Oct →
nuke	7–9	-0.15	7%	26 Oct →
inferno	6–9	-0.07	9%	26 Oct →
eldorado	2–9	-0.15	25%	26 Oct →
poseidon	8–8	-0.13	24%	26 Oct →
nuke	9–7	-0.08	13%	26 Oct →
nuke	5–9	-0.09	21%	26 Oct →
nuke	11–13	-0.08	11%	22 Oct →
cache	12–12	-0.06	9%	21 Oct →
mirage	12–12	-0.06	13%	21 Oct →
overpass	13–4	-0.00	13%	18 Oct →
mirage	5–13	-0.05	22%	18 Oct →
nuke	12–2	-0.12	40%	8 Oct →
mirage	9–13	-0.04	21%	8 Oct →
nuke	5–13	-0.06	5%	5 Oct →
nuke	10–13	0.03	16%	1 Oct →
nuke	0–13	-0.04	7%	1 Oct →
ancient	13–11	-0.01	11%	1 Oct →
nuke	9–13	-0.04	19%	1 Oct →
nuke	5–13	-0.02	21%	28 Sept →
nuke	5–13	-0.01	20%	28 Sept →
nuke	12–12	-0.05	12%	24 Sept →
nuke	6–13	0.01	18%	22 Sept →
mirage	13–7	-0.07	16%	22 Sept →
nuke	13–7	-0.06	14%	22 Sept →
nuke	4–13	0.00	23%	22 Sept →
mirage	13–10	-0.06	18%	13 Sept →
cache	7–13	-0.06	12%	2 Sept →
mirage	5–13	-0.11	4%	2 Sept →
cache	13–9	-0.06	5%	8 Aug →
mirage	5–13	-0.01	31%	8 Aug →
mirage	12–12	-0.08	16%	21 Jul →
mirage	7–13	-0.06	19%	21 Jul →
fachwerk	13–7	0.00	19%	20 Jul →
nuke	11–13	-0.01	18%	20 Jul →
shelter	4–13	-0.07	11%	16 Jul →
nuke	12–12	-0.08	17%	16 Jul →
office	11–13	-0.10	21%	2 Jul →
cache	9–13	-0.06	26%	14 Jun →
vertigo	12–12	-0.05	14%	11 Jun →
cache	12–12	-0.08	16%	31 May →
mirage	13–7	-0.05	25%	31 May →
dust2	13–8	-0.06	11%	20 May →
cache	8–13	-0.10	4%	20 May →
mirage	12–12	-0.05	34%	20 May →
nuke	13–5	-0.06	18%	20 May →
nuke	6–13	-0.09	7%	20 May →
cache	12–12	-0.06	44%	20 May →
cache	13–9	-0.02	26%	20 May →
nuke	8–13	-0.04	22%	16 May →
office	10–13	-0.09	18%	16 May →
cache	13–11	-0.02	30%	11 May →
cache	11–13	-0.06	19%	7 May →
cache	13–2	-0.01	21%	7 May →
cache	12–12	-0.04	17%	3 May →
cache	13–1	0.04	12%	3 May →
cache	13–2	-0.02	16%	3 May →
cache	8–13	-0.11	26%	2 May →
cache	13–3	0.00	23%	2 May →
cache	6–13	-0.06	19%	2 May →
cache	13–11	0.03	16%	2 May →
cache	13–10	-0.08	30%	1 May →
train	6–13	-0.03	21%	1 May →
cache	4–13	-0.08	21%	1 May →
cache	13–11	0.00	19%	1 May →
cache	13–2	0.04	17%	1 May →
cache	3–13	-0.03	22%	1 May →
cache	13–11	-0.04	28%	30 Apr →
cache	11–13	-0.01	19%	30 Apr →
cache	13–1	0.04	15%	29 Apr →
cache	13–1	0.05	12%	29 Apr →
cache	8–13	-0.08	15%	29 Apr →
cache	7–13	-0.07	17%	29 Apr →
cache	13–1	0.08	17%	29 Apr →
mirage	13–7	-0.06	21%	26 Apr →
ancient	13–4	0.08	19%	26 Apr →
nuke	11–13	-0.06	16%	26 Apr →
mirage	10–13	-0.04	21%	26 Apr →
nuke	13–5	-0.04	17%	18 Apr →
dust2	8–13	-0.04	25%	18 Apr →
mirage	10–13	-0.06	14%	18 Apr →
nuke	10–13	-0.09	15%	17 Apr →
dust2	7–13	-0.09	32%	17 Apr →
nuke	5–13	-0.10	17%	15 Apr →
mirage	12–12	-0.09	24%	9 Apr →
mirage	11–13	-0.03	26%	19 Mar →
ancient	6–13	-0.09	13%	13 Mar →
overpass	6–13	-0.04	30%	13 Mar →
dust2	5–13	-0.04	15%	5 Mar →
nuke	6–13	-0.14	31%	5 Mar →
mirage	2–13	-0.13	18%	4 Mar →
mirage	13–8	-0.03	18%	28 Feb →
nuke	4–13	-0.06	28%	28 Feb →
nuke	13–3	0.08	27%	27 Feb →
nuke	8–13	-0.01	18%	23 Feb →
nuke	7–13	0.01	26%	23 Feb →