monkish — CS2 Stats

76561199375130565[U:1:1414864837]

1,293Tracked matches54%Win rate2025Tracked since

1,712Hours in CS44Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating13,853Blue band · top ~34.5% of ranked players (population est.)

CSDB Leaderboard#12673 of 18829 tracked

Ladder ranks via Leetify

Rating over time

13,853Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 13,853
Next: Purple band at 15,000 — 1,147 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-08-28
Light Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim66

Positioning45

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY38–50–12Last 10038%Win rateLWLLWLTWLW

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

Player DNA

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

Aim6.6

Aggression4.7

Utility6.8

Positioning4.5

Opening Duels1.6

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 89% playstyle similarity

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

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 641ms 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

Aim6.6

Positioning4.5

Utility6.8

Mechanics7.2

Opening Duels1.6

Win Impact6.3

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time648ms−15ms

first ⅓ avg 663ms → last ⅓ avg 648ms

Headshot accuracy12.9%+0.1%

first ⅓ avg 12.8% → last ⅓ avg 12.9%

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

0.17Best rating — cache 13–6

13–1Biggest win — dust2

3Longest win streak

4–1In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 48% over 25dust2Weakest map · 20% over 25

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	10–15	40%	0.01
cache	B	25	12–13	48%	0.01
dust2	D	25	5–20	20%	0.03
ancient	C	9	4–5	44%	-0.01
mirage	C	7	3–4	43%	0.01
inferno	C	5	2–3	40%	0.00
vertigo	—	2	2–0	100%	0.06
anubis	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

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

Lifetime stats

30,297Lifetime kills

0.87K/D

1,994Matches

35.9%Match win rate

43.3%Headshot %

0.0%Shot accuracy

3,053MVPs

831Hours (in match)

1,851Bombs planted

475Bombs defused

Most-used weapons

AK-4712,567

M4A4 / M4A1-S8,588

P2000 / USP-S1,278

MP91,226

Galil AR885

Glock-18865

MAC-10865

Desert Eagle721

MP7537

Tec-9444

Lifetime map wins

3,400nuke

2,665dust2

1,625inferno

975train

396vertigo

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.

12.8%Headshot accuracy

40.2%Accuracy (enemy spotted)

38.2%Spray accuracy

82.6%Counter-strafing

10.9°Preaim

641msReaction time

32.2%T opening success

40.8%CT opening success

0.63Enemies flashed / flash

8.1%Flash assists

8.25HE damage / grenade

15.85Flashes / 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 12.8378% — 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 32.1978% — below the 40% mark we flag

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.

20% win rate across 25 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
ancient	9–13	-0.01	7%	28 Aug →
mirage	13–4	0.04	10%	28 Aug →
nuke	6–13	-0.03	7%	28 Aug →
inferno	8–13	0.01	11%	28 Aug →
cache	13–5	0.00	14%	28 Aug →
dust2	8–13	-0.05	25%	28 Aug →
nuke	12–12	0.04	15%	27 Aug →
cache	13–6	0.17	12%	27 Aug →
dust2	2–13	-0.02	17%	27 Aug →
cache	13–5	0.00	24%	26 Aug →
vertigo	13–3	0.10	8%	25 Aug →
cache	12–12	0.02	18%	25 Aug →
dust2	10–13	0.11	11%	25 Aug →
nuke	12–12	0.05	10%	25 Aug →
cache	13–9	0.01	17%	24 Aug →
nuke	13–11	0.05	15%	24 Aug →
mirage	5–13	-0.10	13%	24 Aug →
inferno	13–11	-0.01	10%	24 Aug →
anubis	8–13	-0.01	7%	24 Aug →
dust2	3–7	0.06	11%	23 Aug →
ancient	13–7	-0.03	6%	23 Aug →
nuke	13–10	0.02	11%	22 Aug →
cache	13–5	0.05	13%	22 Aug →
dust2	9–13	-0.02	10%	22 Aug →
cache	12–12	-0.09	12%	21 Aug →
nuke	13–6	0.03	7%	21 Aug →
dust2	8–13	0.01	21%	21 Aug →
nuke	9–13	-0.00	12%	20 Aug →
cache	13–4	0.05	15%	20 Aug →
dust2	13–1	0.04	17%	20 Aug →
dust2	10–13	-0.03	13%	19 Aug →
nuke	13–8	0.15	20%	19 Aug →
nuke	12–12	-0.02	7%	18 Aug →
dust2	6–13	0.06	15%	18 Aug →
nuke	2–13	-0.04	21%	18 Aug →
cache	1–13	-0.03	11%	17 Aug →
dust2	12–12	0.03	14%	17 Aug →
nuke	7–13	0.00	28%	17 Aug →
cache	9–13	0.03	15%	16 Aug →
nuke	13–4	0.06	15%	16 Aug →
dust2	11–13	0.02	24%	16 Aug →
dust2	12–12	0.05	9%	16 Aug →
cache	4–13	-0.00	12%	15 Aug →
nuke	13–8	-0.06	3%	15 Aug →
mirage	8–13	0.03	14%	15 Aug →
ancient	6–13	0.00	13%	15 Aug →
cache	13–10	0.08	18%	14 Aug →
nuke	4–13	0.05	9%	14 Aug →
dust2	13–3	0.16	21%	14 Aug →
inferno	9–13	0.05	8%	14 Aug →
dust2	13–11	-0.03	32%	13 Aug →
mirage	2–13	0.03	16%	13 Aug →
cache	13–5	0.16	16%	13 Aug →
nuke	13–7	-0.02	8%	13 Aug →
nuke	7–13	0.04	8%	13 Aug →
cache	13–16	-0.07	17%	12 Aug →
dust2	13–7	0.07	9%	12 Aug →
cache	5–13	-0.06	16%	12 Aug →
dust2	5–13	0.00	8%	12 Aug →
inferno	13–10	-0.03	12%	12 Aug →
cache	13–5	0.07	6%	10 Aug →
dust2	9–13	0.02	18%	10 Aug →
ancient	3–13	0.03	16%	10 Aug →
nuke	13–10	0.07	17%	9 Aug →
cache	4–10	-0.06	3%	9 Aug →
dust2	10–13	0.05	6%	9 Aug →
nuke	8–13	-0.02	10%	8 Aug →
cache	6–13	-0.08	9%	8 Aug →
dust2	12–12	0.04	15%	8 Aug →
ancient	3–13	-0.09	7%	8 Aug →
nuke	12–12	0.03	6%	7 Aug →
cache	13–6	0.00	6%	7 Aug →
dust2	13–7	0.09	12%	7 Aug →
mirage	13–6	0.03	12%	7 Aug →
cache	7–13	0.04	24%	6 Aug →
nuke	4–13	-0.07	27%	6 Aug →
ancient	6–1	0.02	20%	6 Aug →
dust2	4–13	0.02	16%	6 Aug →
cache	10–13	0.07	17%	5 Aug →
nuke	3–13	-0.03	8%	5 Aug →
dust2	6–13	0.02	10%	5 Aug →
mirage	3–13	-0.00	2%	5 Aug →
nuke	13–5	-0.01	16%	4 Aug →
train	9–13	-0.08	9%	4 Aug →
dust2	12–12	0.02	11%	4 Aug →
ancient	9–13	-0.04	10%	4 Aug →
cache	16–14	0.10	20%	3 Aug →
cache	5–13	-0.09	17%	3 Aug →
cache	2–13	-0.07	13%	3 Aug →
nuke	7–13	-0.03	14%	3 Aug →
inferno	12–12	-0.01	7%	3 Aug →
cache	13–9	0.00	18%	3 Aug →
dust2	15–15	-0.02	19%	3 Aug →
ancient	13–9	-0.04	12%	2 Aug →
nuke	10–13	0.00	9%	2 Aug →
nuke	13–7	-0.05	10%	2 Aug →
dust2	9–13	-0.01	19%	2 Aug →
mirage	13–3	0.01	13%	2 Aug →
ancient	13–6	0.01	8%	2 Aug →
vertigo	13–4	0.01	6%	2 Aug →