Monkey — CS2 Stats

US76561197972103077[U:1:11837349]Steam profile ↗✓ No bans

950Tracked matches56%Win rate2020Tracked since

5,431Hours in CS7Hrs last 2 wks

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating27,279Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#345 of 6904 tracked

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78

Positioning49

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY58–37–5Last 10058%Win rateWWTWLWWTWT

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.8

Aggression4.5

Utility6.9

Positioning4.9

Opening Duels1.4

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 92% 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. 593ms 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

Aim7.8

Positioning4.9

Utility6.9

Mechanics7.1

Opening Duels1.4

Win Impact6.9

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time590ms−0ms

first ⅓ avg 591ms → last ⅓ avg 590ms

Headshot accuracy17.5%−3.3%

first ⅓ avg 20.9% → last ⅓ avg 17.5%

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

0.24Best rating — mirage 3–0

13–0Biggest win — cache

8Longest win streak

W2Current streak

6–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 68% over 34infernoWeakest map · 50% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	34	23–11	68%	0.01
mirage	A	21	12–9	57%	0.02
inferno	B	20	10–10	50%	0.00
cache	B	19	10–9	53%	0.02
nuke	B	6	3–3	50%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,948Lifetime kills

1.19K/D · Top 25% of tracked players

4,492Matches

59.3%Match win rate · Top 5% of tracked players

47.5%Headshot % · Top 50% of tracked players

19.3%Shot accuracy · Top 5% of tracked players

14,672MVPs

2,902Hours (in match)

6,303Bombs planted

1,985Bombs defused

Most-used weapons

AK-4763,001

M4A4 / M4A1-S29,865

AWP23,411

Desert Eagle13,017

P2000 / USP-S12,325

Glock-184,690

P2502,900

SSG 082,788

FAMAS2,507

Galil AR2,012

Lifetime map wins

22,885dust2

11,747inferno

2,463train

1,984nuke

1,236cbble

137office

125aztec

93vertigo

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.

17.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

39.6%Spray accuracy

81.9%Counter-strafing

8.6°Preaim

593msReaction time

32.0%T opening success

39.3%CT opening success

0.60Enemies flashed / flash

10.3%Flash assists

11.58HE damage / grenade

15.91Flashes / 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
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 31.9643% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.02	20%	28 Aug →
mirage	13–4	0.01	25%	28 Aug →
mirage	15–15	-0.05	24%	26 Aug →
inferno	13–7	0.01	21%	25 Aug →
cache	8–13	-0.02	18%	25 Aug →
dust2	13–3	-0.00	15%	24 Aug →
mirage	13–3	0.02	12%	24 Aug →
mirage	15–15	-0.03	11%	16 Aug →
inferno	13–6	0.11	20%	16 Aug →
dust2	15–15	0.07	22%	16 Aug →
inferno	5–13	-0.03	39%	14 Aug →
inferno	13–3	0.01	16%	10 Aug →
dust2	13–5	0.05	20%	10 Aug →
cache	11–13	-0.01	15%	10 Aug →
dust2	11–13	-0.02	8%	9 Aug →
dust2	16–13	-0.06	8%	8 Aug →
dust2	7–13	0.03	13%	8 Aug →
dust2	4–13	-0.06	21%	8 Aug →
mirage	11–13	0.04	21%	1 Aug →
cache	13–5	0.03	12%	1 Aug →
dust2	16–13	0.01	19%	31 Jul →
mirage	5–13	0.01	19%	31 Jul →
cache	8–13	-0.01	13%	31 Jul →
inferno	13–9	0.06	15%	31 Jul →
dust2	13–8	0.00	15%	31 Jul →
inferno	7–13	-0.04	15%	29 Jul →
dust2	8–13	-0.02	31%	29 Jul →
inferno	11–13	-0.08	18%	25 Jul →
dust2	13–9	-0.05	11%	24 Jul →
mirage	13–3	0.05	16%	24 Jul →
dust2	16–12	0.00	7%	23 Jul →
cache	13–4	0.20	21%	23 Jul →
inferno	13–1	0.09	18%	23 Jul →
dust2	7–13	-0.02	19%	23 Jul →
cache	13–11	0.04	28%	21 Jul →
dust2	3–13	-0.03	33%	21 Jul →
inferno	7–13	-0.02	19%	21 Jul →
inferno	13–9	-0.02	12%	20 Jul →
nuke	9–13	0.07	16%	20 Jul →
dust2	13–10	-0.03	36%	20 Jul →
cache	10–13	0.02	23%	19 Jul →
cache	8–13	-0.03	26%	19 Jul →
mirage	13–11	-0.02	14%	19 Jul →
dust2	16–13	0.04	30%	19 Jul →
cache	13–10	-0.03	32%	19 Jul →
dust2	9–13	-0.03	23%	19 Jul →
dust2	13–11	0.04	28%	19 Jul →
mirage	13–5	0.01	25%	19 Jul →
cache	13–5	0.06	11%	19 Jul →
inferno	9–13	-0.01	14%	19 Jul →
mirage	13–5	-0.01	13%	19 Jul →
cache	5–13	0.06	13%	19 Jul →
inferno	13–10	-0.02	11%	18 Jul →
cache	10–13	-0.04	28%	18 Jul →
inferno	8–13	-0.02	11%	18 Jul →
dust2	4–13	0.04	15%	18 Jul →
inferno	13–2	0.04	15%	18 Jul →
dust2	13–8	0.03	21%	18 Jul →
cache	13–10	0.08	16%	17 Jul →
mirage	8–13	0.02	18%	13 Jul →
cache	16–13	0.03	15%	13 Jul →
dust2	13–10	0.10	18%	12 Jul →
mirage	15–15	0.03	15%	12 Jul →
dust2	13–11	0.01	19%	12 Jul →
dust2	13–7	-0.01	23%	12 Jul →
cache	7–13	-0.02	16%	11 Jul →
mirage	7–13	0.02	21%	11 Jul →
inferno	8–13	0.05	16%	11 Jul →
cache	13–2	0.02	21%	11 Jul →
nuke	13–7	-0.08	8%	10 Jul →
dust2	13–7	0.00	11%	10 Jul →
cache	13–11	0.07	30%	8 Jul →
cache	12–12	-0.04	39%	7 Jul →
cache	13–0	0.02	21%	7 Jul →
dust2	13–11	0.03	28%	6 Jul →
mirage	13–9	0.01	25%	6 Jul →
dust2	13–10	0.03	21%	5 Jul →
mirage	13–5	0.01	16%	5 Jul →
mirage	3–0	0.24	44%	5 Jul →
dust2	13–4	0.00	3%	4 Jul →
mirage	16–13	0.02	31%	4 Jul →
mirage	9–13	-0.04	14%	3 Jul →
inferno	11–13	-0.00	39%	3 Jul →
dust2	10–13	0.09	23%	29 Jun →
nuke	8–13	0.01	14%	29 Jun →
mirage	3–13	-0.05	35%	27 Jun →
inferno	11–13	-0.05	12%	27 Jun →
inferno	13–2	-0.01	11%	27 Jun →
nuke	1–13	-0.03	16%	27 Jun →
inferno	13–10	-0.05	9%	21 Jun →
dust2	13–9	0.01	24%	21 Jun →
dust2	13–2	0.06	32%	21 Jun →
dust2	13–7	0.09	30%	21 Jun →
nuke	16–13	0.00	7%	21 Jun →
dust2	13–7	0.04	17%	21 Jun →
dust2	8–13	0.05	24%	21 Jun →
mirage	13–8	0.09	19%	21 Jun →
nuke	13–7	0.07	20%	15 Jun →
inferno	6–13	0.00	17%	15 Jun →
mirage	13–6	0.01	10%	15 Jun →