Joe Mama — CS2 Stats

76561198006297741[U:1:46032013]

752Tracked matches39%Win rate2021Tracked since

1,168Hours in CS3Hrs last 2 wks

CSDB Rating5.2 Developing

Ladder ranks via Leetify

Performance scores

Aim58

Positioning59

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY34–61–5Last 10034%Win rateLLTWLWWLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.8

Aggression6.9

Utility5.6

Positioning5.9

Opening Duels2.7

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 b1t 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 723ms 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

Aim5.8

Positioning5.9

Utility5.6

Mechanics6.7

Opening Duels2.7

Win Impact1.4

Composite 5.2/10 (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-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time706ms+0ms

first ⅓ avg 706ms → last ⅓ avg 706ms

Headshot accuracy16.5%+0.3%

first ⅓ avg 16.1% → last ⅓ avg 16.5%

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 — dust2 13–9

13–0Biggest win — dust2

5Longest win streak

L2Current streak

8–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 40% over 43nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	43	17–26	40%	-0.01
inferno	D	14	4–10	29%	-0.02
mirage	D	12	3–9	25%	-0.01
ancient	C	11	4–7	36%	-0.00
overpass	C	10	4–6	40%	0.00
nuke	D	7	1–6	14%	-0.03
anubis	—	3	1–2	33%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,513Lifetime kills

0.93K/D

1,542Matches

45.1%Match win rate

41.6%Headshot %

13.1%Shot accuracy · Top 50% of tracked players

3,251MVPs

925Hours (in match)

2,236Bombs planted

427Bombs defused

Most-used weapons

AK-479,969

M4A4 / M4A1-S5,285

P2000 / USP-S1,544

Glock-181,329

AWP1,262

FAMAS1,116

MP9990

Galil AR852

P90814

UMP-45777

Lifetime map wins

12,169dust2

937inferno

147nuke

131office

120train

75dust

53vertigo

32italy

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.

16.8%Headshot accuracy

33.8%Accuracy (enemy spotted)

40.3%Spray accuracy

80.0%Counter-strafing

9.5°Preaim

723msReaction time

33.7%T opening success

48.2%CT opening success

0.62Enemies flashed / flash

6.0%Flash assists

7.08HE damage / grenade

12.34Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 723.3278ms — above the 700ms 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 33.7423% — 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.

14% win rate across 7 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
dust2	6–13	-0.00	10%	25 Aug →
dust2	4–13	-0.05	12%	24 Aug →
dust2	12–12	0.04	9%	22 Aug →
dust2	13–9	-0.04	11%	18 Aug →
dust2	9–13	-0.04	23%	11 Aug →
dust2	13–7	0.03	19%	22 Jul →
dust2	13–8	-0.01	26%	22 Jul →
anubis	5–13	0.00	19%	9 Jul →
dust2	0–13	-0.05	24%	2 Jul →
overpass	13–9	0.00	20%	2 Jul →
overpass	13–5	0.02	10%	1 Jul →
nuke	4–13	-0.03	7%	1 Jul →
dust2	6–13	-0.05	16%	1 Jul →
dust2	13–11	0.06	24%	30 Jun →
ancient	3–13	-0.04	17%	23 Jun →
dust2	8–13	-0.05	17%	23 Jun →
ancient	13–10	-0.02	14%	22 Jun →
mirage	6–13	-0.03	16%	22 Jun →
inferno	6–13	-0.05	10%	21 Jun →
dust2	13–11	-0.01	14%	21 Jun →
overpass	8–13	-0.02	10%	21 Jun →
anubis	13–6	0.05	8%	16 Jun →
dust2	13–7	0.02	23%	15 Jun →
anubis	15–15	0.01	28%	14 Jun →
inferno	7–13	0.03	18%	14 Jun →
dust2	1–13	-0.11	32%	14 Jun →
dust2	13–11	0.01	22%	25 May →
dust2	4–13	-0.04	26%	25 May →
ancient	12–16	-0.00	9%	19 May →
inferno	3–13	-0.07	16%	19 May →
dust2	7–13	-0.05	19%	17 May →
inferno	13–6	-0.03	7%	14 May →
dust2	4–13	-0.07	10%	13 May →
dust2	13–0	0.10	33%	13 May →
ancient	13–6	0.03	9%	12 May →
dust2	15–15	-0.01	16%	10 May →
mirage	3–13	0.03	17%	30 Apr →
dust2	5–13	0.00	17%	30 Apr →
dust2	10–13	0.02	16%	28 Apr →
nuke	3–13	-0.04	16%	28 Apr →
nuke	1–13	-0.03	3%	27 Apr →
inferno	10–13	-0.04	12%	27 Apr →
dust2	8–13	0.00	11%	27 Apr →
overpass	10–13	-0.04	13%	26 Apr →
mirage	8–13	-0.09	13%	26 Apr →
dust2	9–13	0.02	20%	24 Apr →
inferno	10–13	-0.02	7%	24 Apr →
dust2	8–13	-0.00	18%	15 Apr →
dust2	13–9	0.11	13%	15 Apr →
inferno	16–14	0.01	12%	14 Apr →
mirage	13–8	-0.01	10%	13 Apr →
nuke	16–14	0.06	7%	7 Apr →
dust2	13–9	-0.01	13%	7 Apr →
mirage	5–13	-0.05	9%	7 Apr →
inferno	0–13	-0.09	31%	6 Apr →
ancient	10–13	-0.06	15%	6 Apr →
ancient	13–8	0.07	4%	6 Apr →
mirage	3–13	-0.07	12%	5 Apr →
overpass	13–9	0.02	29%	5 Apr →
ancient	13–9	0.02	9%	2 Apr →
inferno	5–13	-0.09	11%	31 Mar →
ancient	10–13	0.03	15%	31 Mar →
dust2	11–13	-0.10	10%	25 Mar →
dust2	13–7	-0.07	12%	23 Mar →
dust2	13–11	-0.00	16%	23 Mar →
inferno	15–15	-0.02	12%	21 Mar →
mirage	7–13	-0.04	6%	21 Mar →
dust2	14–16	0.03	10%	19 Mar →
mirage	13–8	0.03	18%	19 Mar →
mirage	14–16	-0.00	18%	17 Mar →
dust2	11–13	0.03	13%	16 Mar →
mirage	7–13	-0.00	5%	15 Mar →
dust2	13–16	0.03	16%	15 Mar →
dust2	7–13	-0.01	25%	14 Mar →
overpass	13–1	0.05	18%	14 Mar →
inferno	13–10	0.03	33%	14 Mar →
ancient	5–13	-0.03	21%	11 Mar →
overpass	10–13	0.04	18%	3 Mar →
inferno	8–13	0.04	13%	3 Mar →
dust2	16–14	0.03	15%	1 Mar →
nuke	12–16	-0.01	15%	27 Feb →
overpass	7–13	-0.04	14%	27 Feb →
dust2	13–8	0.02	16%	22 Feb →
dust2	8–13	0.01	21%	21 Feb →
ancient	14–16	0.05	17%	21 Feb →
dust2	8–13	-0.01	16%	21 Feb →
dust2	6–13	0.00	18%	21 Feb →
mirage	4–13	-0.01	10%	20 Feb →
dust2	13–10	-0.07	13%	20 Feb →
nuke	3–13	-0.06	18%	20 Feb →
dust2	2–13	-0.12	26%	20 Feb →
dust2	13–10	-0.01	10%	19 Feb →
inferno	15–15	0.04	12%	19 Feb →
overpass	8–13	0.04	15%	19 Feb →
inferno	13–11	-0.00	11%	5 Feb →
dust2	13–10	0.04	16%	4 Feb →
mirage	13–8	0.08	19%	4 Feb →
ancient	8–13	-0.08	9%	4 Feb →
nuke	0–13	-0.12	11%	3 Feb →
overpass	7–13	-0.04	21%	3 Feb →