🕷MonK🕷 — CS2 Stats

KH76561199013722276[U:1:1053456548]Steam profile ↗✓ No bans

828Tracked matches52%Win rate2025Tracked since

856Hours in CS10Hrs last 2 wks

CSDB Rating4.8 DevelopingAll-Rounder

Premier CS Rating8,705Light Blue band · top ~61.1% of ranked players (population est.)

CSDB Leaderboard#193856 of 261676 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,705 -445 6 Sept – 8 Nov · 19 days played

10,230Peak Premier in tracked matches

34Days played since 2026-09-06

Premier CS Rating

1,178 below peak (9,883)
-848 over 30 days · declining
Next: Blue band at 10,000 — 1,295 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=10,066), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	38.9%	40.0%	42.0%	3.1% short
Shot accuracy	1.2%	6.9%	9.7%	8.5% short
Kill/death ratio	1.08	0.92	0.98	above
Match win rate	49.6%	42.3%	43.8%	above

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

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Performance scores

Aim46

Positioning59

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateLWWLLLWTWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −39ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 555ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 577ms

Last 20

8–11–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 597ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.6

Utility6.1

Positioning5.9

Opening Duels3.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 69% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 609ms 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

Aim4.6

Positioning5.9

Utility6.1

Mechanics5.2

Opening Duels5.6

Win Impact5.6

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time604ms−1ms

first ⅓ avg 605ms → last ⅓ avg 604ms

Headshot accuracy14.8%−0.4%

first ⅓ avg 15.2% → last ⅓ avg 14.8%

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.

Personal bests

0.12Best match rating · 13–3 · nuke, 26 Sept →

31%Best headshot accuracy · 8–13 · mirage, 18 Sept →

438msFastest reaction time · 9–13 · inferno, 3 Oct →

13–2Biggest win · office, 28 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

7–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 67% over 12vertigoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	29	10–19	34%	-0.01
mirage	D	16	5–11	31%	0.00
ancient	S	12	8–4	67%	0.01
cache	C	12	5–7	42%	-0.01
nuke	D	12	4–8	33%	0.00
inferno	A	7	4–3	57%	0.01
vertigo	D	5	1–4	20%	0.02
anubis	—	4	2–2	50%	-0.02
office	—	2	2–0	100%	0.03
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,643Lifetime kills

1.08K/D · Top 25% of Light Blue band

1,026Matches

49.6%Match win rate · Top 10% of Light Blue band

38.9%Headshot %

1.2%Shot accuracy

2,249MVPs

373Hours (in match)

1,638Bombs planted

308Bombs defused

Most-used weapons

AK-473,801

M4A4 / M4A1-S2,425

AWP2,108

P2000 / USP-S747

Desert Eagle711

Glock-18617

MP7596

MP9570

Galil AR472

MAC-10437

Lifetime map wins

3,260dust2

1,493nuke

1,216inferno

483vertigo

348train

79office

31militia

19italy

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.

14.2%Headshot accuracy

32.0%Accuracy (enemy spotted)

30.3%Spray accuracy

73.6%Counter-strafing

10.5°Preaim

609msReaction time

58.2%T opening success

46.4%CT opening success

0.69Enemies flashed / flash

7.7%Flash assists

6.18HE damage / grenade

10.23Flashes / 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 14.2117% — below the 15% mark we flag
Aim Training →

Spend your practice time on Vertigo

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

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	9–13	0.04	14%	12 Nov →
anubis	13–3	-0.06	24%	8 Nov →
ancient	13–10	0.02	15%	8 Nov →
dust2	9–13	-0.10	11%	7 Nov →
dust2	9–13	0.06	12%	7 Nov →
dust2	9–13	-0.06	14%	6 Nov →
mirage	13–11	0.04	17%	6 Nov →
dust2	12–12	-0.03	10%	6 Nov →
mirage	13–7	-0.05	15%	4 Nov →
dust2	13–5	0.08	8%	4 Nov →
dust2	11–13	-0.02	25%	4 Nov →
dust2	6–13	-0.01	19%	4 Nov →
mirage	11–13	0.10	9%	28 Oct →
office	13–2	-0.01	15%	28 Oct →
office	13–10	0.07	5%	28 Oct →
dust2	13–11	-0.03	7%	27 Oct →
cache	9–13	0.03	16%	25 Oct →
cache	6–13	-0.07	22%	25 Oct →
cache	1–7	-0.00	16%	25 Oct →
cache	3–13	-0.00	17%	25 Oct →
dust2	13–8	0.03	11%	14 Oct →
nuke	12–12	-0.08	19%	13 Oct →
mirage	10–13	-0.00	15%	11 Oct →
cache	12–12	0.02	6%	8 Oct →
ancient	13–5	-0.04	18%	8 Oct →
nuke	8–13	0.02	14%	8 Oct →
inferno	13–6	0.01	20%	8 Oct →
dust2	13–5	-0.03	9%	6 Oct →
mirage	12–5	0.01	19%	6 Oct →
inferno	13–9	0.01	11%	5 Oct →
cache	13–11	-0.00	10%	3 Oct →
nuke	13–8	0.02	22%	3 Oct →
inferno	9–13	0.03	22%	3 Oct →
inferno	8–13	0.04	12%	3 Oct →
ancient	13–5	-0.01	10%	3 Oct →
dust2	13–4	-0.01	20%	30 Sept →
ancient	13–7	-0.00	10%	29 Sept →
mirage	7–13	-0.02	18%	29 Sept →
ancient	13–10	-0.02	13%	28 Sept →
mirage	4–13	-0.09	15%	28 Sept →
ancient	10–13	0.03	17%	27 Sept →
dust2	13–2	0.01	5%	27 Sept →
dust2	6–13	-0.05	11%	26 Sept →
cache	13–5	0.04	22%	26 Sept →
anubis	7–13	-0.02	15%	26 Sept →
nuke	13–3	0.12	22%	26 Sept →
dust2	13–4	-0.01	19%	26 Sept →
mirage	4–13	-0.05	7%	26 Sept →
ancient	10–13	0.02	15%	26 Sept →
dust2	5–13	-0.00	7%	26 Sept →
mirage	16–13	-0.02	17%	26 Sept →
ancient	13–9	-0.01	6%	26 Sept →
mirage	11–13	0.09	16%	24 Sept →
nuke	13–10	0.01	11%	24 Sept →
nuke	6–13	-0.02	21%	24 Sept →
dust2	12–12	-0.02	14%	24 Sept →
vertigo	13–3	0.03	18%	24 Sept →
vertigo	12–12	0.00	18%	23 Sept →
vertigo	12–12	0.02	13%	23 Sept →
dust2	4–13	-0.07	12%	23 Sept →
dust2	13–5	-0.04	11%	23 Sept →
dust2	6–13	-0.04	4%	22 Sept →
dust2	13–11	-0.02	14%	22 Sept →
cache	16–14	-0.03	14%	19 Sept →
ancient	13–9	0.08	19%	19 Sept →
cache	6–13	-0.01	11%	19 Sept →
mirage	13–7	0.09	18%	19 Sept →
ancient	13–11	-0.00	13%	19 Sept →
mirage	10–13	0.01	21%	18 Sept →
mirage	8–13	0.01	31%	18 Sept →
ancient	10–13	-0.01	13%	17 Sept →
cache	13–4	-0.04	18%	17 Sept →
mirage	6–13	-0.06	4%	17 Sept →
mirage	9–13	0.02	11%	17 Sept →
cache	13–8	0.03	14%	17 Sept →
ancient	11–13	0.01	17%	16 Sept →
dust2	10–13	0.01	26%	16 Sept →
dust2	7–13	-0.01	9%	16 Sept →
dust2	13–7	0.05	17%	15 Sept →
dust2	7–13	-0.09	22%	15 Sept →
anubis	6–13	-0.04	2%	15 Sept →
dust2	8–13	0.01	14%	15 Sept →
cache	0–7	-0.09	8%	14 Sept →
anubis	13–3	0.05	16%	14 Sept →
inferno	13–11	0.11	12%	14 Sept →
nuke	3–13	-0.02	15%	14 Sept →
dust2	9–13	0.03	14%	14 Sept →
train	12–12	0.02	14%	13 Sept →
nuke	10–13	0.02	15%	13 Sept →
nuke	13–10	-0.01	13%	13 Sept →
vertigo	9–13	0.01	18%	13 Sept →
nuke	9–13	0.01	22%	12 Sept →
nuke	12–12	-0.02	15%	12 Sept →
nuke	11–13	-0.01	12%	11 Sept →
dust2	12–12	-0.02	15%	10 Sept →
dust2	5–13	0.04	19%	9 Sept →
dust2	10–13	-0.01	17%	9 Sept →
inferno	13–7	0.00	14%	9 Sept →
mirage	10–13	-0.01	20%	9 Sept →
inferno	3–13	-0.12	12%	9 Sept →