Makima — CS2 Stats

76561198233570240[U:1:273304512]Steam profile ↗✓ No bans

1,529Tracked matches71%Win rate2020Tracked since

1,640Hours in CS

CSDB Rating6.1 SolidHybrid Rifler

FaceitLevel 10 · 2,368 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	36.4%	52.0%
Shot accuracy	10.2%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	50.0%	48.8%

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Performance scores

Aim74

Positioning46

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50–35–15Last 10050%Win rateLWWTWLWLLW

Last 10 vs previous 10: -50pp win rate · -0.04 avg rating

Player DNA

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

Aim7.4

Aggression5.4

Utility5.3

Positioning4.6

Opening Duels1.8

Clutch3.2

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 90% playstyle similarity

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

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4

Positioning4.6

Utility5.3

Mechanics6.4

Opening Duels1.8

Win Impact10.0

Composite 6.1/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time539ms−43ms

first ⅓ avg 582ms → last ⅓ avg 539ms

Headshot accuracy12.8%−0.1%

first ⅓ avg 12.9% → last ⅓ avg 12.8%

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

0.20Best rating — inferno 13–0

13–0Biggest win — inferno

11Longest win streak

5–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	0.02
mirage	C	17	7–10	41%	0.03
nuke	C	13	5–8	38%	0.01
ancient	B	12	6–6	50%	0.02
inferno	S	8	6–2	75%	0.06
overpass	S	6	4–2	67%	0.08
anubis	S	6	4–2	67%	0.06
train	S	5	4–1	80%	0.05
cache	S	5	4–1	80%	0.06
vertigo	—	3	0–3	0%	0.11
stronghold	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,713Lifetime kills

1.13K/D · Top 50% of Level 10 players

3,636Matches

50.0%Match win rate · Top 50% of Level 10 players

36.4%Headshot %

10.2%Shot accuracy

9,366MVPs

1,640Hours (in match)

5,252Bombs planted

948Bombs defused

Most-used weapons

AK-4716,776

M4A4 / M4A1-S14,490

AWP3,850

P2000 / USP-S3,242

Glock-183,057

MAC-102,918

Desert Eagle2,470

XM10141,883

Five-SeveN1,803

MP91,686

Lifetime map wins

7,085inferno

5,436nuke

5,346dust2

1,186vertigo

1,181train

631cbble

340office

28italy

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

Faceit stats

Combat

416Matches

56%Win rate

1.15Avg K/D

83.0ADR

38%Headshot %

Clutches & streaks

36%1v1 clutch win

27%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	83	52%	1.10	15.9
Nuke	54	76%	1.35	16.1
Inferno	48	50%	1.06	16.1
Dust2	40	52%	1.07	16.2
Ancient	28	29%	0.92	15.1
Anubis	21	43%	0.93	14.6
Vertigo	18	78%	1.14	19.4
Overpass	7	71%	1.14	16.4

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.

12.5%Headshot accuracy

38.6%Accuracy (enemy spotted)

38.2%Spray accuracy

78.7%Counter-strafing

9.3°Preaim

540msReaction time

29.8%T opening success

44.7%CT opening success

0.48Enemies flashed / flash

10.0%Flash assists

12.13HE damage / grenade

5.07Flashes / 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 12.5169% — below the 15% mark we flag
Aim Training →
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 0.4783 — 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 29.7601% — 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.

38% 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
mirage	9–13	-0.04	3%	30 Jul →
ancient	13–3	0.07	17%	30 Jul →
ancient	13–11	0.03	14%	29 Jul →
mirage	12–12	-0.00	11%	29 Jul →
inferno	13–9	0.00	14%	29 Jul →
dust2	2–13	-0.04	8%	29 Jul →
nuke	13–7	0.09	21%	3 Jul →
nuke	11–13	-0.07	7%	3 Jul →
dust2	3–13	-0.08	26%	3 Jul →
train	13–10	0.03	12%	20 Jun →
dust2	8–1	-0.02	0%	20 Jun →
dust2	13–3	-0.08	0%	19 Jun →
overpass	13–9	0.11	15%	10 May →
anubis	13–11	0.02	16%	10 May →
mirage	13–8	0.14	9%	9 May →
dust2	13–8	0.07	8%	9 May →
inferno	13–7	0.09	13%	9 May →
cache	13–10	0.00	9%	9 May →
anubis	13–10	0.07	9%	9 May →
nuke	13–8	0.02	10%	9 May →
dust2	4–13	-0.02	12%	9 May →
nuke	2–11	-0.02	21%	8 May →
dust2	3–13	-0.01	10%	8 May →
overpass	13–6	0.08	18%	6 May →
mirage	13–3	0.16	13%	6 May →
dust2	13–5	0.10	18%	6 May →
inferno	13–8	0.09	12%	6 May →
nuke	13–11	-0.03	12%	6 May →
dust2	11–13	0.05	11%	5 May →
mirage	15–15	-0.03	21%	4 May →
mirage	13–10	0.05	14%	3 May →
mirage	8–13	0.02	20%	2 May →
nuke	3–13	-0.02	17%	2 May →
overpass	8–13	0.07	26%	2 May →
ancient	12–12	0.12	19%	2 May →
dust2	11–13	0.01	18%	1 May →
cache	13–6	0.09	32%	30 Apr →
vertigo	12–12	0.14	14%	30 Apr →
train	10–13	-0.03	11%	30 Apr →
nuke	9–13	-0.01	13%	30 Apr →
dust2	7–13	-0.04	9%	30 Apr →
dust2	9–13	-0.01	12%	30 Apr →
train	13–6	0.07	15%	29 Apr →
ancient	5–13	-0.02	6%	29 Apr →
cache	13–4	0.11	7%	29 Apr →
nuke	13–11	0.05	14%	29 Apr →
dust2	12–12	0.11	13%	29 Apr →
cache	12–12	0.04	9%	29 Apr →
cache	13–6	0.04	10%	28 Apr →
dust2	7–13	0.05	14%	28 Apr →
anubis	13–10	0.06	25%	28 Apr →
overpass	5–13	0.07	13%	28 Apr →
dust2	13–6	0.18	19%	28 Apr →
dust2	12–12	0.02	6%	28 Apr →
mirage	12–12	0.01	11%	28 Apr →
dust2	2–13	-0.02	14%	28 Apr →
anubis	12–12	0.09	14%	28 Apr →
train	13–4	0.07	15%	28 Apr →
vertigo	12–12	0.11	17%	28 Apr →
inferno	3–13	0.04	18%	28 Apr →
mirage	13–9	0.07	13%	27 Apr →
dust2	2–13	-0.03	13%	27 Apr →
overpass	13–9	0.10	19%	27 Apr →
mirage	8–13	-0.01	17%	26 Apr →
ancient	2–13	-0.04	14%	26 Apr →
inferno	12–12	0.04	14%	26 Apr →
nuke	12–12	0.07	23%	26 Apr →
mirage	13–3	0.04	11%	26 Apr →
dust2	8–13	0.02	10%	26 Apr →
nuke	13–7	0.01	10%	26 Apr →
mirage	13–9	-0.00	19%	26 Apr →
ancient	7–13	-0.08	8%	26 Apr →
anubis	9–13	0.06	9%	26 Apr →
dust2	13–11	0.00	9%	26 Apr →
mirage	4–13	-0.03	11%	26 Apr →
overpass	13–8	0.04	21%	25 Apr →
mirage	10–13	0.09	14%	25 Apr →
inferno	13–9	-0.04	8%	25 Apr →
ancient	13–7	-0.01	10%	25 Apr →
ancient	13–5	0.02	9%	25 Apr →
nuke	3–13	-0.05	8%	25 Apr →
ancient	7–13	-0.01	13%	25 Apr →
stronghold	9–13	-0.02	8%	24 Apr →
inferno	9–3	0.05	18%	24 Apr →
vertigo	12–12	0.09	13%	24 Apr →
inferno	13–0	0.20	16%	24 Apr →
nuke	12–12	0.04	7%	24 Apr →
train	13–3	0.11	16%	24 Apr →
dust2	13–5	0.08	11%	24 Apr →
ancient	13–8	0.02	18%	24 Apr →
mirage	4–13	0.02	20%	23 Apr →
dust2	13–7	0.07	12%	23 Apr →
anubis	8–2	0.06	7%	21 Apr →
mirage	13–10	0.02	15%	21 Apr →
ancient	13–6	0.07	9%	19 Apr →
dust2	13–8	0.06	19%	19 Apr →
nuke	15–15	0.03	15%	19 Apr →
dust2	13–10	0.08	10%	19 Apr →
ancient	4–13	0.02	20%	19 Apr →
mirage	7–13	0.07	23%	19 Apr →