Makkas! — CS2 Stats

ZA76561199339944289[U:1:1379678561]Steam profile ↗✓ No bans

1,410Tracked matches46%Win rate2022Tracked since

1,157Hours in CS1Hrs last 2 wks

CSDB Rating4.1 Developing

Ladder ranks via Leetify

Performance scores

Aim32

Positioning48

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLLTWWWLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.2

Aggression6.4

Utility5.5

Positioning4.8

Opening Duels2.6

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 b1t 83% playstyle similarity

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

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. 672ms 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

Aim3.2

Positioning4.8

Utility5.5

Mechanics4.6

Opening Duels2.6

Win Impact3.8

Composite 4.1/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time675ms+7ms

first ⅓ avg 669ms → last ⅓ avg 675ms

Headshot accuracy15.9%−0.4%

first ⅓ avg 16.3% → last ⅓ avg 15.9%

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

0.10Best rating — nuke 13–6

13–2Biggest win — anubis

10Longest win streak

L2Current streak

12–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 62% over 13dust2Weakest map · 25% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	20	5–15	25%	-0.03
ancient	C	16	7–9	44%	-0.02
nuke	A	16	9–7	56%	-0.00
anubis	A	14	8–6	57%	0.00
inferno	A	13	8–5	62%	0.01
mirage	D	12	3–9	25%	0.01
overpass	A	5	3–2	60%	-0.02
cache	—	2	1–1	50%	-0.02
train	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,351Lifetime kills

1.22K/D · Top 25% of tracked players

1,549Matches

46.5%Match win rate · Top 50% of tracked players

49.1%Headshot % · Top 50% of tracked players

13.4%Shot accuracy · Top 50% of tracked players

4,186MVPs

633Hours (in match)

2,967Bombs planted

430Bombs defused

Most-used weapons

AK-4712,449

M4A4 / M4A1-S6,657

Galil AR2,771

FAMAS1,875

P2000 / USP-S1,654

Desert Eagle1,389

MP91,328

AWP1,232

Tec-91,161

Glock-18855

Lifetime map wins

2,755dust2

2,651inferno

2,011nuke

1,281vertigo

755train

152office

28italy

26militia

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.

16.2%Headshot accuracy

29.7%Accuracy (enemy spotted)

32.5%Spray accuracy

70.7%Counter-strafing

12.6°Preaim

672msReaction time

42.5%T opening success

37.9%CT opening success

0.71Enemies flashed / flash

4.1%Flash assists

9.17HE damage / grenade

9.96Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5615° — above the 12° mark we flag
Aim Training →

Spend your practice time on Dust 2

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 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.03	18%	22 Aug →
ancient	0–13	-0.02	4%	22 Aug →
nuke	15–15	-0.05	22%	14 Aug →
anubis	13–2	0.02	7%	14 Aug →
cache	13–6	0.02	13%	14 Aug →
ancient	13–8	0.06	19%	14 Aug →
inferno	10–13	-0.05	16%	14 Aug →
mirage	12–16	-0.03	22%	14 Aug →
nuke	13–10	-0.08	9%	14 Aug →
anubis	9–13	-0.06	7%	3 Jul →
nuke	13–11	0.01	12%	3 Jul →
anubis	13–8	-0.02	19%	19 Jun →
dust2	4–13	-0.08	9%	19 Jun →
mirage	15–15	0.01	13%	19 Jun →
ancient	13–9	-0.02	11%	19 Jun →
nuke	6–13	0.01	19%	19 Jun →
overpass	16–14	-0.01	17%	19 Jun →
mirage	9–13	0.02	10%	6 Jun →
nuke	13–6	0.10	14%	6 Jun →
ancient	13–10	-0.03	14%	29 May →
dust2	8–13	-0.06	21%	29 May →
nuke	10–13	-0.02	23%	29 May →
mirage	7–13	-0.03	23%	16 May →
anubis	7–13	-0.02	24%	15 May →
nuke	13–9	0.04	16%	10 May →
dust2	7–13	0.02	22%	10 May →
dust2	13–7	0.00	22%	30 Apr →
anubis	13–7	0.07	23%	30 Apr →
nuke	7–13	-0.01	14%	30 Apr →
cache	9–13	-0.06	16%	30 Apr →
dust2	6–13	-0.02	19%	26 Apr →
ancient	9–13	-0.04	13%	25 Apr →
dust2	7–13	-0.01	15%	24 Apr →
dust2	7–13	-0.02	28%	18 Apr →
dust2	13–5	0.04	37%	17 Apr →
anubis	13–9	-0.00	18%	17 Apr →
mirage	7–13	-0.05	12%	17 Apr →
inferno	6–13	-0.06	29%	17 Apr →
nuke	13–7	-0.04	26%	10 Apr →
overpass	13–5	0.01	22%	10 Apr →
nuke	10–13	-0.01	19%	2 Apr →
inferno	8–13	0.01	16%	2 Apr →
dust2	13–2	0.05	13%	2 Apr →
anubis	2–13	-0.09	19%	2 Apr →
ancient	13–11	0.02	14%	2 Apr →
ancient	9–13	-0.03	12%	27 Mar →
dust2	5–13	0.01	25%	27 Mar →
anubis	9–13	0.01	19%	27 Mar →
dust2	0–13	-0.10	10%	20 Mar →
anubis	8–13	-0.03	16%	20 Mar →
ancient	8–13	-0.02	20%	20 Mar →
nuke	4–13	-0.05	21%	20 Mar →
mirage	8–13	-0.06	22%	20 Mar →
inferno	13–7	0.02	11%	20 Mar →
mirage	13–11	0.00	12%	14 Mar →
inferno	4–13	-0.04	8%	13 Mar →
ancient	2–13	-0.07	16%	13 Mar →
dust2	7–13	-0.04	2%	6 Mar →
anubis	3–13	-0.05	28%	6 Mar →
nuke	13–9	0.02	26%	6 Mar →
ancient	13–11	-0.01	19%	27 Feb →
inferno	13–9	0.06	23%	27 Feb →
anubis	13–7	0.08	17%	27 Feb →
ancient	13–11	-0.04	20%	20 Feb →
ancient	4–13	-0.03	18%	14 Feb →
dust2	7–13	-0.03	19%	14 Feb →
inferno	13–3	-0.01	9%	14 Feb →
anubis	13–8	0.07	11%	14 Feb →
mirage	8–13	0.06	20%	14 Feb →
ancient	8–13	-0.05	7%	14 Feb →
overpass	9–13	-0.06	15%	14 Feb →
nuke	1–13	-0.07	19%	14 Feb →
dust2	11–13	-0.05	18%	13 Feb →
inferno	15–15	-0.02	15%	13 Feb →
dust2	10–13	-0.02	23%	13 Feb →
ancient	11–13	-0.05	8%	13 Feb →
inferno	13–9	0.02	15%	13 Feb →
anubis	13–11	0.05	17%	13 Feb →
dust2	13–11	-0.01	18%	7 Feb →
anubis	13–11	-0.01	20%	7 Feb →
mirage	16–13	0.04	14%	7 Feb →
inferno	13–7	0.02	20%	7 Feb →
dust2	13–11	-0.02	21%	6 Feb →
nuke	13–6	0.04	8%	16 Jan →
ancient	13–11	-0.02	8%	9 Jan →
inferno	13–4	0.04	15%	2 Jan →
mirage	6–13	0.07	15%	28 Dec →
overpass	8–13	-0.02	5%	20 Dec →
mirage	16–13	0.02	18%	20 Dec →
dust2	6–13	-0.08	25%	20 Dec →
ancient	4–13	0.00	13%	19 Dec →
train	11–13	-0.03	17%	19 Dec →
dust2	5–13	-0.08	15%	6 Dec →
mirage	8–13	0.05	21%	28 Nov →
inferno	16–14	0.09	19%	28 Nov →
overpass	13–10	-0.02	25%	28 Nov →
nuke	13–4	0.06	16%	14 Nov →
nuke	13–6	0.00	17%	8 Nov →
inferno	13–6	0.05	19%	8 Nov →
train	3–13	-0.06	22%	8 Nov →