Bud.and.Beagle — CS2 Stats

SG76561198059503585[U:1:99237857]Steam profile ↗✓ No bans

2,227Tracked matches54%Win rate2020Tracked since

CSDB Rating4.5 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning36

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY52–39–9Last 10052%Win rateWWWLWWLLLT

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.7

Aggression3.1

Utility6.8

Positioning3.6

Opening Duels0.0

Clutch3.2

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 NiKo 73% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 687ms 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

Aim3.7

Positioning3.6

Utility6.8

Mechanics6.3

Opening Duels0.4

Win Impact6.3

Composite 4.5/10 (Developing), 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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time686ms−23ms

first ⅓ avg 709ms → last ⅓ avg 686ms

Headshot accuracy22.8%+3.7%

first ⅓ avg 19.1% → 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

0.10Best rating — dust2 13–7

13–0Biggest win — dust2

8Longest win streak

W3Current streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 60% over 77mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	77	46–31	60%	-0.02
mirage	D	7	1–6	14%	-0.04
anubis	D	5	1–4	20%	-0.03
inferno	—	3	0–3	0%	-0.05
train	—	2	1–1	50%	-0.05
nuke	—	2	1–1	50%	-0.01
overpass	—	2	1–1	50%	-0.05
cache	—	1	0–1	0%	-0.04
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

783Matches

50%Win rate

0.94Avg K/D

71.0ADR

43%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	83	59%	0.90	12.8
Mirage	36	36%	0.78	11.3
Inferno	36	42%	0.72	11.8
Anubis	32	34%	0.78	13.0
Nuke	23	48%	0.67	10.9
Train	20	55%	0.86	14.3
Ancient	16	50%	0.68	11.8
Vertigo	10	40%	0.76	11.5

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.

19.8%Headshot accuracy

25.6%Accuracy (enemy spotted)

27.0%Spray accuracy

78.2%Counter-strafing

10.4°Preaim

687msReaction time

32.8%T opening success

22.9%CT opening success

0.64Enemies flashed / flash

9.1%Flash assists

11.89HE damage / grenade

13.46Flashes / 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 32.8445% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	0.02	20%	28 Aug →
dust2	13–8	0.01	20%	26 Aug →
dust2	13–4	0.02	21%	25 Aug →
dust2	7–13	-0.06	15%	25 Aug →
dust2	13–7	-0.01	25%	25 Aug →
dust2	13–11	0.02	20%	20 Aug →
dust2	11–13	-0.04	21%	20 Aug →
dust2	3–13	-0.04	31%	20 Aug →
dust2	6–13	-0.08	18%	15 Aug →
dust2	12–12	-0.09	20%	15 Aug →
dust2	13–10	-0.02	15%	8 Jul →
mirage	12–12	0.00	33%	8 Jul →
dust2	13–5	0.05	30%	22 Jun →
dust2	12–12	0.02	18%	22 Jun →
dust2	13–9	-0.05	20%	14 Jun →
dust2	2–0	0.09	100%	14 Jun →
dust2	6–13	-0.05	18%	14 Jun →
dust2	13–10	0.02	24%	1 Jun →
dust2	13–3	-0.06	10%	1 Jun →
dust2	13–4	-0.04	9%	31 May →
dust2	5–13	-0.02	10%	31 May →
dust2	5–13	-0.05	15%	31 May →
dust2	13–6	0.07	23%	31 May →
dust2	11–13	-0.07	12%	31 May →
mirage	6–13	-0.07	27%	25 May →
dust2	15–15	-0.03	10%	25 May →
dust2	13–4	-0.06	24%	19 May →
dust2	4–13	-0.00	25%	8 May →
anubis	8–13	-0.07	20%	5 May →
dust2	6–13	-0.05	16%	5 May →
dust2	13–10	0.02	31%	5 May →
dust2	13–7	0.00	24%	3 May →
anubis	10–13	-0.04	27%	3 May →
dust2	12–12	-0.01	15%	3 May →
dust2	13–7	-0.04	20%	3 May →
mirage	7–13	-0.06	26%	3 May →
dust2	13–10	-0.01	27%	3 May →
cache	10–13	-0.04	20%	3 May →
train	13–10	-0.05	27%	24 Apr →
dust2	13–6	0.02	26%	24 Apr →
dust2	13–10	0.04	12%	23 Apr →
train	5–13	-0.05	20%	23 Apr →
dust2	8–13	-0.04	18%	17 Apr →
dust2	11–13	0.00	18%	16 Apr →
nuke	4–13	-0.06	11%	16 Apr →
nuke	13–3	0.04	12%	16 Apr →
dust2	13–8	0.02	15%	16 Apr →
dust2	12–12	-0.00	28%	10 Apr →
anubis	11–13	0.00	19%	10 Apr →
dust2	13–9	0.02	19%	10 Apr →
dust2	13–7	0.10	19%	10 Apr →
dust2	13–8	0.01	22%	10 Apr →
dust2	6–13	-0.04	31%	8 Apr →
vertigo	13–11	0.02	25%	8 Apr →
dust2	10–13	-0.06	19%	8 Apr →
mirage	6–13	-0.07	29%	4 Apr →
dust2	13–1	0.03	29%	3 Apr →
dust2	10–2	-0.04	20%	3 Apr →
anubis	13–4	-0.00	42%	3 Apr →
inferno	5–13	-0.05	23%	3 Apr →
dust2	12–12	-0.09	14%	26 Mar →
dust2	13–2	0.05	13%	26 Mar →
dust2	10–13	0.02	19%	26 Mar →
dust2	13–3	0.00	13%	26 Mar →
dust2	13–4	0.02	21%	25 Mar →
dust2	13–8	-0.04	46%	25 Mar →
dust2	13–1	-0.06	34%	23 Mar →
dust2	13–6	-0.02	13%	23 Mar →
dust2	13–7	0.03	17%	23 Mar →
dust2	13–10	0.01	24%	23 Mar →
dust2	13–0	0.06	21%	23 Mar →
dust2	12–12	-0.06	16%	22 Mar →
dust2	6–13	-0.06	19%	22 Mar →
dust2	10–13	-0.06	19%	22 Mar →
inferno	4–13	-0.05	18%	16 Mar →
overpass	13–10	-0.04	18%	16 Mar →
dust2	13–6	0.04	30%	16 Mar →
dust2	6–13	-0.04	21%	16 Mar →
dust2	13–11	0.00	16%	16 Mar →
dust2	13–6	0.01	27%	14 Mar →
inferno	4–13	-0.04	14%	14 Mar →
mirage	3–13	-0.06	15%	14 Mar →
dust2	13–5	-0.06	21%	10 Mar →
dust2	10–13	-0.05	22%	10 Mar →
dust2	11–13	-0.07	27%	10 Mar →
overpass	8–13	-0.06	23%	10 Mar →
mirage	13–4	0.03	24%	10 Mar →
dust2	13–8	-0.03	14%	9 Mar →
dust2	12–12	-0.00	26%	9 Mar →
anubis	4–13	-0.05	33%	9 Mar →
dust2	6–13	-0.11	13%	4 Mar →
dust2	13–6	-0.00	11%	4 Mar →
dust2	13–10	-0.07	20%	4 Mar →
dust2	13–7	0.02	10%	4 Mar →
dust2	7–13	-0.10	12%	4 Mar →
dust2	7–13	-0.06	18%	1 Mar →
dust2	13–3	-0.04	16%	1 Mar →
dust2	13–11	-0.06	11%	1 Mar →
dust2	13–4	0.07	33%	1 Mar →
mirage	3–13	-0.07	10%	28 Feb →