Baboon — CS2 Stats

76561198890135963[U:1:929870235]

256Tracked matches50%Win rate2020Tracked since

559Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim76

Positioning70

Utility49

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLWWLWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.6

Aggression10.0

Utility4.9

Positioning7.0

Opening Duels5.8

Clutch6.0

Excellent counter-strafing

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 ZywOo 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 622ms 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

Aim7.6

Positioning7.0

Utility4.9

Mechanics9.6

Opening Duels5.8

Win Impact5.0

Composite 6.2/10 (Solid), 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 rating0.01−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time622ms−19ms

first ⅓ avg 641ms → last ⅓ avg 622ms

Headshot accuracy17.7%−2.5%

first ⅓ avg 20.2% → last ⅓ avg 17.7%

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

0.13Best rating — ancient 10–13

13–1Biggest win — mirage

7Longest win streak

L3Current streak

8–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 63% over 8nukeWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	13–18	42%	0.01
dust2	B	17	9–8	53%	0.01
ancient	B	14	7–7	50%	0.03
overpass	A	12	7–5	58%	0.01
nuke	C	10	4–6	40%	0.01
inferno	A	8	5–3	63%	0.03
train	B	8	4–4	50%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,243Lifetime kills

1.06K/D · Top 50% of tracked players

1,388Matches

42.9%Match win rate

33.4%Headshot %

14.0%Shot accuracy · Top 50% of tracked players

2,945MVPs

559Hours (in match)

766Bombs planted

249Bombs defused

Most-used weapons

AK-476,981

AWP6,660

M4A4 / M4A1-S3,999

P2000 / USP-S1,519

SSG 081,378

Desert Eagle1,144

Glock-18897

UMP-45550

MAC-10527

MP9516

Lifetime map wins

1,957dust2

1,782nuke

1,358inferno

506train

138office

78vertigo

23italy

19cbble

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

Faceit stats

Combat

9Matches

22%Win rate

0.79Avg K/D

79.6ADR

47%Headshot %

Clutches & streaks

50%1v1 clutch win

25%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	0.82	14.5
Mirage	1	0%	1.06	18.0
Ancient	1	100%	0.94	17.0

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.

18.3%Headshot accuracy

36.7%Accuracy (enemy spotted)

34.8%Spray accuracy

93.2%Counter-strafing

10.4°Preaim

622msReaction time

54.2%T opening success

52.2%CT opening success

0.61Enemies flashed / flash

10.0%Flash assists

5.87HE damage / grenade

5.74Flashes / match

Recommended for you

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.

40% win rate across 10 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
mirage	6–13	0.00	24%	1 May →
overpass	6–13	-0.09	26%	4 Dec →
dust2	1–13	-0.06	13%	4 Dec →
ancient	16–14	-0.02	29%	15 Nov →
dust2	13–9	0.05	17%	14 Nov →
mirage	11–13	-0.02	18%	14 Nov →
inferno	16–12	0.01	15%	7 Nov →
overpass	7–13	0.01	18%	7 Nov →
dust2	6–13	-0.01	12%	7 Nov →
mirage	8–13	-0.05	10%	7 Nov →
inferno	13–8	0.01	15%	2 Nov →
mirage	13–9	0.13	14%	1 Nov →
train	13–11	0.01	11%	1 Nov →
mirage	12–16	-0.02	24%	1 Nov →
train	13–11	0.02	24%	31 Oct →
ancient	5–13	-0.07	11%	31 Oct →
overpass	13–9	0.04	13%	31 Oct →
mirage	4–13	-0.03	15%	31 Oct →
overpass	13–7	-0.03	10%	29 Oct →
dust2	7–13	-0.01	14%	29 Oct →
mirage	13–7	0.04	27%	29 Oct →
train	6–13	-0.02	14%	29 Oct →
ancient	13–5	0.04	19%	29 Oct →
dust2	11–13	0.04	18%	29 Oct →
inferno	13–10	0.07	27%	29 Oct →
dust2	12–6	-0.02	14%	28 Oct →
mirage	8–13	0.05	20%	28 Oct →
mirage	13–10	0.04	21%	28 Oct →
ancient	8–13	-0.04	19%	28 Oct →
mirage	13–2	0.06	29%	28 Oct →
dust2	13–6	-0.04	0%	28 Oct →
ancient	10–5	0.09	28%	28 Oct →
overpass	13–5	-0.02	14%	27 Oct →
mirage	13–5	0.05	14%	27 Oct →
dust2	16–12	0.03	21%	27 Oct →
overpass	6–13	-0.05	11%	27 Oct →
inferno	14–16	0.02	11%	27 Oct →
mirage	14–16	0.00	7%	27 Oct →
dust2	11–13	0.00	20%	27 Oct →
mirage	6–13	-0.02	23%	27 Oct →
mirage	13–8	0.07	14%	27 Oct →
train	6–13	0.02	24%	27 Oct →
overpass	13–3	-0.03	26%	27 Oct →
ancient	13–6	0.03	17%	27 Oct →
dust2	8–13	-0.04	14%	26 Oct →
mirage	13–7	-0.01	17%	26 Oct →
ancient	12–16	-0.04	24%	26 Oct →
overpass	11–13	0.02	9%	26 Oct →
dust2	13–2	-0.01	21%	26 Oct →
inferno	11–13	0.08	17%	26 Oct →
nuke	5–13	-0.04	22%	25 Oct →
dust2	10–13	0.02	29%	25 Oct →
nuke	5–13	0.03	10%	25 Oct →
mirage	11–13	0.01	14%	25 Oct →
inferno	13–9	0.04	16%	25 Oct →
mirage	13–1	0.07	30%	25 Oct →
nuke	13–7	-0.00	11%	25 Oct →
mirage	13–9	0.02	13%	25 Oct →
nuke	13–11	0.08	23%	25 Oct →
dust2	13–4	0.01	21%	25 Oct →
inferno	13–9	-0.01	13%	25 Oct →
mirage	13–16	-0.03	8%	24 Oct →
train	10–13	-0.01	19%	24 Oct →
mirage	6–13	-0.03	17%	24 Oct →
mirage	6–13	-0.01	22%	24 Oct →
train	13–11	-0.06	10%	24 Oct →
overpass	13–5	0.01	13%	24 Oct →
dust2	13–8	0.03	17%	24 Oct →
nuke	11–13	0.08	30%	24 Oct →
dust2	13–7	-0.03	18%	23 Oct →
ancient	13–6	0.04	17%	23 Oct →
mirage	15–15	-0.03	9%	23 Oct →
dust2	13–5	0.10	16%	23 Oct →
mirage	9–13	0.02	11%	23 Oct →
train	10–13	0.08	32%	23 Oct →
mirage	13–11	0.04	15%	22 Oct →
ancient	3–13	-0.03	24%	22 Oct →
nuke	13–8	-0.04	6%	22 Oct →
train	13–5	-0.01	21%	22 Oct →
ancient	10–13	0.13	15%	22 Oct →
mirage	11–13	0.03	44%	22 Oct →
nuke	8–13	0.05	9%	21 Oct →
overpass	13–10	0.04	12%	21 Oct →
ancient	6–13	0.06	15%	20 Oct →
mirage	13–11	0.03	23%	20 Oct →
mirage	11–13	0.02	17%	20 Oct →
ancient	13–5	0.09	23%	20 Oct →
mirage	10–13	0.02	15%	19 Oct →
mirage	13–8	-0.01	26%	19 Oct →
dust2	15–15	0.03	24%	19 Oct →
nuke	16–14	0.02	22%	19 Oct →
inferno	11–13	-0.01	21%	19 Oct →
nuke	9–13	-0.01	26%	18 Oct →
overpass	13–9	0.10	19%	18 Oct →
nuke	5–13	-0.02	30%	18 Oct →
mirage	13–7	0.06	26%	18 Oct →
overpass	6–13	0.09	23%	18 Oct →
ancient	13–10	-0.01	22%	18 Oct →
ancient	6–13	0.10	17%	17 Oct →
mirage	9–13	-0.04	21%	17 Oct →