Bucks — CS2 Stats

76561198401710504[U:1:441444776]

702Tracked matches60%Win rate2020Tracked since

CSDB Rating6.8 SolidHybrid Rifler

Premier CS Rating22,535Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

FaceitLevel 5 · 1,223 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning52

Utility49

0–100 skill scores via Leetify.

Recent form

HOT57–40–3Last 10057%Win rateLWWWWWWLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.7

Aggression4.7

Utility4.9

Positioning5.2

Opening Duels1.7

Clutch3.0

Sharp aimerExcellent counter-strafingStrong CT-side opener

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 93% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.2

Utility4.9

Mechanics8.6

Opening Duels1.8

Win Impact8.3

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time599ms−36ms

first ⅓ avg 636ms → last ⅓ avg 599ms

Headshot accuracy20.6%+0.2%

first ⅓ avg 20.4% → last ⅓ avg 20.6%

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

0.21Best rating — dust2 13–4

13–0Biggest win — mirage

7Longest win streak

13–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 79% over 14mirageWeakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	0.01
mirage	C	18	8–10	44%	0.03
nuke	S	14	11–3	79%	0.04
inferno	A	14	9–5	64%	0.01
cache	A	10	6–4	60%	0.01
anubis	A	9	5–4	56%	0.02
overpass	B	6	3–3	50%	0.04
ancient	—	2	1–1	50%	0.04
vertigo	—	2	1–1	50%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches

58%Win rate

0.92Avg K/D

66.1ADR

52%Headshot %

Clutches & streaks

35%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	55%	0.74	11.4
Inferno	10	80%	0.97	15.7
Overpass	8	88%	1.25	13.4
Dust2	8	50%	0.91	12.4
Nuke	5	40%	0.95	15.0
Cache	4	100%	1.06	14.3
Anubis	3	33%	0.62	9.7
Ancient	2	0%	0.86	12.0

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.

20.3%Headshot accuracy

41.5%Accuracy (enemy spotted)

43.7%Spray accuracy

88.9%Counter-strafing

10.1°Preaim

595msReaction time

29.3%T opening success

44.5%CT opening success

0.64Enemies flashed / flash

6.5%Flash assists

10.08HE damage / grenade

6.62Flashes / 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 29.3211% — 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.

44% win rate across 18 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
cache	3–13	-0.02	12%	26 Aug →
dust2	13–9	0.01	20%	26 Aug →
mirage	13–6	0.03	25%	25 Aug →
nuke	13–6	0.04	35%	25 Aug →
nuke	13–11	0.03	23%	23 Aug →
dust2	13–8	-0.03	20%	23 Aug →
dust2	13–6	0.06	21%	22 Aug →
inferno	3–13	0.00	29%	22 Aug →
inferno	6–9	-0.05	23%	22 Aug →
dust2	16–12	0.03	18%	22 Aug →
cache	13–8	-0.04	15%	22 Aug →
nuke	13–8	0.06	15%	17 Aug →
dust2	10–13	-0.06	33%	15 Aug →
anubis	16–12	0.02	20%	15 Aug →
nuke	7–0	-0.02	21%	15 Aug →
dust2	5–13	-0.04	29%	15 Aug →
mirage	13–5	0.11	14%	14 Aug →
mirage	13–8	-0.01	23%	14 Aug →
nuke	8–13	0.09	23%	11 Aug →
mirage	12–16	0.03	15%	11 Aug →
anubis	7–13	0.04	13%	10 Aug →
dust2	2–13	-0.03	24%	6 Aug →
anubis	13–6	-0.00	19%	4 Aug →
dust2	13–4	-0.05	21%	4 Aug →
mirage	6–13	0.01	29%	2 Aug →
nuke	13–11	0.04	10%	2 Aug →
mirage	13–0	0.04	21%	2 Aug →
inferno	6–13	-0.01	9%	31 Jul →
mirage	2–13	-0.01	14%	31 Jul →
inferno	13–10	0.05	25%	31 Jul →
anubis	14–16	-0.02	19%	30 Jul →
dust2	7–13	-0.00	27%	30 Jul →
cache	11–13	-0.04	16%	29 Jul →
nuke	13–10	-0.03	21%	29 Jul →
mirage	14–16	-0.01	16%	29 Jul →
cache	11–13	0.04	22%	28 Jul →
dust2	7–13	-0.04	14%	28 Jul →
inferno	13–6	0.07	21%	28 Jul →
dust2	10–13	0.02	30%	26 Jul →
dust2	10–13	-0.04	7%	26 Jul →
mirage	6–13	-0.02	35%	26 Jul →
cache	13–11	0.03	17%	26 Jul →
inferno	13–7	-0.02	9%	26 Jul →
mirage	13–11	0.06	25%	18 Jul →
cache	13–10	0.03	16%	18 Jul →
cache	13–9	0.03	26%	18 Jul →
dust2	9–13	0.04	26%	16 Jul →
cache	13–11	0.04	26%	16 Jul →
dust2	7–13	-0.02	33%	14 Jul →
cache	13–11	0.00	20%	14 Jul →
dust2	13–11	0.06	33%	14 Jul →
nuke	16–14	0.02	28%	12 Jul →
dust2	9–13	0.03	27%	12 Jul →
cache	8–13	0.07	30%	10 Jul →
ancient	13–3	0.06	21%	9 Jul →
anubis	13–11	0.04	16%	1 Jul →
overpass	9–6	0.04	25%	1 Jul →
vertigo	9–1	0.19	29%	1 Jul →
dust2	13–6	0.12	19%	1 Jul →
nuke	13–11	0.05	18%	1 Jul →
overpass	9–13	-0.01	17%	30 Jun →
nuke	8–8	-0.08	37%	30 Jun →
inferno	9–1	0.16	0%	30 Jun →
nuke	13–5	0.04	43%	30 Jun →
inferno	13–8	0.04	22%	30 Jun →
mirage	13–3	0.12	21%	30 Jun →
dust2	13–3	0.06	32%	28 Jun →
inferno	16–12	0.01	14%	28 Jun →
dust2	13–9	-0.04	26%	28 Jun →
vertigo	8–8	0.03	20%	28 Jun →
overpass	9–5	0.19	29%	28 Jun →
nuke	9–0	0.20	10%	28 Jun →
dust2	4–13	-0.12	15%	28 Jun →
anubis	11–13	-0.01	13%	27 Jun →
mirage	4–13	-0.01	16%	27 Jun →
overpass	10–13	-0.03	9%	27 Jun →
mirage	8–13	0.03	18%	27 Jun →
overpass	7–13	0.04	23%	24 Jun →
mirage	13–8	0.00	18%	24 Jun →
anubis	13–9	0.02	13%	24 Jun →
mirage	8–13	0.00	17%	24 Jun →
dust2	13–6	0.05	17%	23 Jun →
overpass	13–9	0.02	23%	23 Jun →
dust2	13–9	0.03	36%	23 Jun →
dust2	15–15	0.01	18%	22 Jun →
nuke	13–16	-0.01	31%	22 Jun →
inferno	6–9	-0.08	25%	21 Jun →
inferno	13–11	-0.04	29%	21 Jun →
inferno	16–13	0.04	21%	18 Jun →
dust2	13–4	0.21	21%	18 Jun →
anubis	13–11	0.08	13%	18 Jun →
inferno	13–11	0.01	24%	17 Jun →
mirage	7–13	0.07	19%	16 Jun →
nuke	13–4	0.07	16%	16 Jun →
anubis	4–13	-0.01	17%	16 Jun →
mirage	13–5	0.07	26%	16 Jun →
ancient	11–13	0.02	17%	16 Jun →
dust2	13–8	0.09	24%	16 Jun →
inferno	9–13	0.01	26%	14 Jun →
mirage	4–13	-0.05	29%	14 Jun →