monkey KRABS — CS2 Stats

US76561198098820699[U:1:138554971]Steam profile ↗✓ No bans

119Tracked matches45%Win rate2020Tracked since

1,032Hours in CS

CSDB Rating6.3 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim80

Positioning61

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLLWWLLWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression7.7

Utility6.2

Positioning6.1

Opening Duels2.2

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 b1t 93% playstyle similarity

Most alike: utility contribution, 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. 600ms 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

Aim8.0

Positioning6.1

Utility6.2

Mechanics8.1

Opening Duels2.2

Win Impact3.3

Composite 6.3/10 (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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time601ms−68ms

first ⅓ avg 669ms → last ⅓ avg 601ms

Headshot accuracy23.5%−0.3%

first ⅓ avg 23.8% → last ⅓ avg 23.5%

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

0.17Best rating — mirage 13–5

13–2Biggest win — mirage

8Longest win streak

3–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 63% over 27nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	0.02
mirage	A	27	17–10	63%	0.02
inferno	C	18	8–10	44%	0.01
overpass	B	13	7–6	54%	0.01
ancient	A	7	4–3	57%	-0.00
nuke	D	5	1–4	20%	-0.00
anubis	—	2	1–1	50%	-0.03
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

63,029Lifetime kills

1.04K/D · Top 50% of tracked players

2,855Matches

47.3%Match win rate · Top 50% of tracked players

38.7%Headshot %

17.7%Shot accuracy · Top 25% of tracked players

9,615MVPs

1,032Hours (in match)

1,858Bombs planted

544Bombs defused

Most-used weapons

AK-4716,893

AWP12,830

M4A4 / M4A1-S6,927

P2000 / USP-S3,946

Desert Eagle3,605

P2502,254

Glock-181,780

SSG 081,589

P901,163

Knife1,087

Lifetime map wins

11,387dust2

670inferno

284nuke

144train

140cbble

64office

60bank

55vertigo

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

Faceit stats

Combat

18Matches

56%Win rate

2.19Avg K/D

—ADR

39%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLWL

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.

23.7%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.9%Spray accuracy

86.7%Counter-strafing

9.5°Preaim

600msReaction time

37.0%T opening success

40.9%CT opening success

0.70Enemies flashed / flash

10.3%Flash assists

7.82HE damage / grenade

14.79Flashes / 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 36.9715% — 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.

20% win rate across 5 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
dust2	8–13	0.12	24%	23 Apr →
mirage	13–4	-0.03	19%	14 Mar →
dust2	4–13	-0.00	33%	11 Mar →
inferno	3–13	-0.05	27%	11 Mar →
mirage	13–10	0.02	18%	10 Mar →
dust2	13–8	0.04	35%	9 Mar →
overpass	4–13	-0.07	42%	9 Mar →
overpass	6–13	-0.02	36%	4 Mar →
mirage	13–5	0.17	33%	4 Mar →
mirage	13–9	0.09	26%	4 Mar →
mirage	10–13	-0.04	23%	26 Feb →
inferno	5–13	0.07	25%	26 Feb →
mirage	13–6	0.05	17%	23 Feb →
dust2	13–7	0.07	16%	22 Feb →
dust2	10–13	0.01	19%	22 Feb →
overpass	16–13	-0.03	34%	21 Feb →
inferno	13–3	0.02	16%	21 Feb →
mirage	8–13	0.00	31%	21 Feb →
inferno	13–16	0.04	27%	19 Feb →
ancient	7–13	-0.04	20%	18 Feb →
mirage	13–16	0.03	18%	17 Feb →
overpass	13–10	0.04	22%	16 Feb →
inferno	13–6	0.02	5%	16 Feb →
dust2	13–8	-0.02	19%	16 Feb →
overpass	9–13	-0.07	20%	16 Feb →
inferno	13–6	0.06	11%	15 Feb →
dust2	9–13	0.02	28%	15 Feb →
mirage	15–15	-0.03	31%	15 Feb →
dust2	5–13	-0.00	15%	13 Feb →
dust2	9–13	0.01	16%	13 Feb →
mirage	13–3	0.08	21%	13 Feb →
mirage	6–13	-0.05	21%	13 Feb →
ancient	7–13	-0.01	26%	13 Feb →
mirage	13–8	-0.01	31%	13 Feb →
dust2	11–13	0.03	24%	13 Feb →
overpass	13–9	0.05	25%	12 Feb →
overpass	13–11	0.02	16%	12 Feb →
inferno	13–4	0.05	20%	12 Feb →
ancient	8–13	-0.04	19%	11 Feb →
dust2	13–8	-0.01	18%	11 Feb →
mirage	10–13	-0.04	21%	10 Feb →
dust2	7–13	0.06	31%	10 Feb →
overpass	8–13	0.05	19%	8 Feb →
mirage	13–11	0.02	21%	8 Feb →
dust2	11–13	-0.07	21%	8 Feb →
inferno	9–13	-0.05	69%	8 Feb →
mirage	13–4	0.01	15%	3 Feb →
inferno	15–15	0.00	16%	2 Feb →
inferno	13–4	-0.01	25%	1 Feb →
dust2	8–13	-0.03	16%	1 Feb →
dust2	12–3	0.07	43%	1 Feb →
anubis	2–13	-0.03	9%	1 Feb →
inferno	11–13	0.09	21%	1 Feb →
dust2	9–13	-0.00	32%	1 Feb →
dust2	13–3	0.06	0%	1 Feb →
overpass	13–4	0.03	19%	31 Jan →
overpass	9–13	-0.03	20%	30 Jan →
inferno	9–13	-0.01	15%	30 Jan →
dust2	9–13	-0.00	17%	29 Jan →
inferno	2–13	-0.08	16%	29 Jan →
mirage	13–6	0.08	23%	29 Jan →
ancient	13–9	0.04	22%	28 Jan →
dust2	13–4	0.06	40%	28 Jan →
inferno	6–13	-0.03	14%	28 Jan →
nuke	8–13	0.03	18%	28 Jan →
inferno	11–13	0.04	31%	27 Jan →
mirage	10–13	0.07	13%	26 Jan →
mirage	15–15	0.04	13%	25 Jan →
dust2	13–6	0.07	38%	23 Jan →
mirage	2–13	-0.03	33%	23 Jan →
dust2	6–13	-0.07	22%	22 Jan →
inferno	13–6	-0.02	21%	22 Jan →
mirage	13–2	0.00	11%	22 Jan →
dust2	13–6	0.00	21%	21 Jan →
anubis	13–4	-0.03	16%	20 Jan →
nuke	8–13	0.01	26%	19 Jan →
dust2	2–5	-0.07	25%	18 Jan →
dust2	13–6	0.06	39%	18 Dec →
mirage	13–4	0.02	19%	18 Dec →
mirage	13–2	0.16	20%	15 Dec →
ancient	8–3	-0.01	13%	15 Dec →
ancient	13–7	0.06	30%	13 Dec →
overpass	13–7	0.05	24%	13 Dec →
mirage	13–8	0.00	37%	13 Dec →
inferno	13–7	0.07	25%	12 Dec →
overpass	9–13	-0.02	25%	11 Dec →
dust2	13–10	0.00	15%	11 Dec →
mirage	13–7	0.01	10%	9 Dec →
train	13–11	0.03	20%	9 Dec →
ancient	13–5	-0.02	30%	9 Dec →
nuke	13–6	-0.01	11%	9 Dec →
mirage	13–8	0.06	26%	9 Dec →
mirage	13–8	0.02	22%	8 Dec →
overpass	13–6	0.11	24%	8 Dec →
nuke	4–9	-0.10	45%	7 Dec →
dust2	13–9	0.03	16%	6 Dec →
dust2	13–2	0.08	27%	5 Dec →
nuke	5–13	0.05	27%	5 Dec →
inferno	13–8	0.03	26%	5 Dec →
mirage	10–13	-0.08	28%	5 Dec →