Monke — CS2 Stats

US76561198296205312[U:1:335939584]Steam profile ↗

2,884Tracked matches53%Win rate2023Tracked since

1,957Hours in CS

CSDB Rating4.9 Developing

Premier CS Rating14,294Blue band · top ~32.1% of ranked players (population est.)

CSDB Leaderboard#22654 of 35384 tracked

FaceitLevel 4 · 921 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	55.9%	42.5%	44.2%	above
Shot accuracy	2.2%	10.9%	11.2%	9.0% short
Kill/death ratio	1.15	0.99	1.04	above
Match win rate	45.8%	44.2%	45.3%	meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim57

Positioning49

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWWWWLLLLW

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Aim5.7

Aggression5.6

Utility3.9

Positioning4.9

Opening Duels0.9

Clutch3.8

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 82% playstyle similarity

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

Where you differ: lower utility contribution; 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. 645ms 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

Aim5.7

Positioning4.9

Utility3.9

Mechanics7.8

Opening Duels1.3

Win Impact6.1

Composite 4.9/10 (Developing), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time637ms−22ms

first ⅓ avg 659ms → last ⅓ avg 637ms

Headshot accuracy22.8%+5.5%

first ⅓ avg 17.3% → last ⅓ avg 22.8%

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

0.12Best rating — ancient 13–7

13–3Biggest win — anubis

5Longest win streak

W5Current streak

6–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 65% over 20anubisWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	29	12–17	41%	-0.01
ancient	S	20	13–7	65%	-0.01
inferno	C	12	5–7	42%	-0.02
dust2	A	12	7–5	58%	0.00
anubis	C	11	4–7	36%	-0.02
cache	C	9	4–5	44%	-0.01
mirage	A	7	4–3	57%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,010Lifetime kills

1.15K/D · Top 25% of Level 4 players

4,314Matches

45.8%Match win rate · Top 50% of Level 4 players

55.9%Headshot % · Top 10% of Level 4 players

2.2%Shot accuracy

10,479MVPs

1,957Hours (in match)

3,085Bombs planted

2,103Bombs defused

Most-used weapons

AK-4735,654

M4A4 / M4A1-S16,967

P2000 / USP-S6,660

Galil AR3,847

Glock-183,682

FAMAS3,251

AWP3,108

MAC-102,681

Desert Eagle2,501

MP92,397

Lifetime map wins

7,996nuke

5,530dust2

4,703inferno

4,216vertigo

1,311train

66office

20italy

19ar_baggage

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

Faceit stats

Combat

86Matches

51%Win rate

0.96Avg K/D

77.0ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	16	50%	0.78	12.9
Nuke	13	62%	0.98	13.2
Ancient	13	46%	1.05	16.9
Mirage	12	50%	0.99	14.3
Anubis	10	40%	1.25	13.6
Inferno	7	71%	0.87	12.4
Vertigo	6	33%	0.92	12.5
Cache	5	60%	0.83	14.8

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.

21.8%Headshot accuracy

31.9%Accuracy (enemy spotted)

31.5%Spray accuracy

85.2%Counter-strafing

12.3°Preaim

645msReaction time

27.4%T opening success

40.2%CT opening success

0.39Enemies flashed / flash

6.5%Flash assists

6.30HE damage / grenade

4.34Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3075° — above the 12° 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 0.3937 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–9	-0.01	16%	29 Aug →
ancient	13–4	-0.05	19%	29 Aug →
inferno	13–9	0.04	27%	25 Aug →
nuke	13–9	-0.00	13%	25 Aug →
mirage	13–11	0.05	16%	25 Aug →
anubis	1–13	-0.10	26%	23 Aug →
nuke	11–13	-0.06	27%	23 Aug →
nuke	2–13	-0.06	33%	22 Aug →
mirage	8–13	-0.08	9%	22 Aug →
dust2	13–6	-0.04	36%	19 Aug →
dust2	13–4	0.01	21%	19 Aug →
nuke	9–13	-0.01	20%	17 Aug →
nuke	13–7	-0.08	23%	17 Aug →
ancient	13–4	0.04	10%	17 Aug →
inferno	13–9	-0.02	22%	17 Aug →
dust2	11–13	0.01	13%	17 Aug →
nuke	5–13	-0.01	21%	16 Aug →
anubis	9–13	0.03	11%	16 Aug →
nuke	13–11	0.08	24%	16 Aug →
nuke	13–16	-0.03	25%	16 Aug →
cache	9–13	-0.03	20%	16 Aug →
anubis	13–5	-0.01	36%	16 Aug →
inferno	11–13	-0.01	20%	16 Aug →
nuke	13–10	0.02	19%	15 Aug →
ancient	10–13	-0.03	18%	15 Aug →
anubis	9–13	-0.07	25%	10 Aug →
ancient	11–13	0.03	28%	10 Aug →
mirage	13–10	0.05	35%	9 Aug →
ancient	13–4	-0.05	21%	9 Aug →
nuke	13–7	-0.06	27%	9 Aug →
nuke	13–4	-0.02	36%	9 Aug →
nuke	13–6	0.10	39%	9 Aug →
dust2	7–13	0.05	21%	9 Aug →
cache	16–14	0.09	30%	9 Aug →
ancient	13–10	0.02	36%	9 Aug →
inferno	3–13	-0.05	30%	9 Aug →
mirage	10–13	0.01	13%	9 Aug →
ancient	13–9	-0.03	18%	4 Aug →
nuke	11–13	-0.03	12%	3 Aug →
ancient	13–7	0.12	33%	3 Aug →
nuke	14–16	-0.06	16%	3 Aug →
cache	4–2	-0.04	11%	3 Aug →
nuke	7–13	0.04	19%	3 Aug →
dust2	15–15	-0.05	10%	3 Aug →
nuke	6–13	0.04	11%	3 Aug →
inferno	8–8	-0.00	12%	3 Aug →
ancient	13–5	0.04	16%	3 Aug →
anubis	13–3	0.04	12%	2 Aug →
nuke	13–10	-0.02	18%	2 Aug →
nuke	15–15	0.02	17%	2 Aug →
nuke	11–13	-0.02	22%	2 Aug →
dust2	13–10	0.01	12%	2 Aug →
mirage	11–13	0.03	19%	1 Aug →
anubis	13–5	-0.00	16%	1 Aug →
inferno	13–5	0.02	13%	1 Aug →
cache	11–13	-0.01	20%	28 Jul →
ancient	13–7	-0.04	13%	28 Jul →
ancient	10–13	0.04	10%	28 Jul →
cache	9–13	-0.00	12%	27 Jul →
anubis	12–16	-0.06	15%	26 Jul →
dust2	13–16	-0.03	21%	26 Jul →
ancient	13–9	0.08	9%	26 Jul →
ancient	10–13	-0.09	4%	26 Jul →
ancient	13–3	0.02	20%	26 Jul →
inferno	13–9	-0.08	19%	26 Jul →
inferno	4–13	-0.08	15%	25 Jul →
nuke	7–13	-0.04	6%	25 Jul →
nuke	13–11	-0.04	16%	25 Jul →
inferno	8–13	-0.07	5%	25 Jul →
anubis	10–13	-0.00	18%	25 Jul →
ancient	13–7	-0.02	10%	25 Jul →
dust2	13–11	0.00	19%	22 Jul →
anubis	15–15	-0.05	13%	22 Jul →
dust2	13–8	0.01	26%	21 Jul →
dust2	8–13	0.06	14%	21 Jul →
nuke	13–10	-0.03	7%	21 Jul →
ancient	9–13	-0.07	10%	20 Jul →
nuke	5–13	-0.03	17%	20 Jul →
inferno	9–13	-0.03	16%	20 Jul →
dust2	13–9	0.00	32%	20 Jul →
ancient	8–13	-0.08	19%	19 Jul →
mirage	13–6	-0.01	23%	19 Jul →
cache	13–8	-0.02	9%	19 Jul →
nuke	8–13	0.07	16%	19 Jul →
inferno	13–5	0.09	14%	19 Jul →
mirage	13–3	0.01	13%	19 Jul →
inferno	5–11	-0.05	13%	18 Jul →
nuke	13–8	-0.01	15%	18 Jul →
nuke	11–13	0.01	20%	18 Jul →
dust2	13–10	-0.01	19%	14 Jul →
nuke	9–13	0.01	17%	13 Jul →
ancient	14–16	-0.04	19%	11 Jul →
nuke	13–8	0.04	13%	11 Jul →
cache	13–7	-0.01	21%	11 Jul →
cache	6–13	-0.01	29%	11 Jul →
cache	0–6	-0.08	9%	11 Jul →
anubis	12–16	-0.03	27%	5 Jul →
ancient	13–7	-0.03	24%	5 Jul →
ancient	13–9	-0.04	15%	4 Jul →
nuke	5–13	-0.01	30%	4 Jul →