Boggs — CS2 Stats

76561198848099920[U:1:887834192]Steam profile ↗

1,537Tracked matches43%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating11,103Blue band · top ~49.1% of ranked players (population est.)

CSDB Leaderboard#19926 of 27872 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning54

Utility48

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLLLLLLLWWL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3

Aggression6.1

Utility4.8

Positioning5.4

Opening Duels2.5

Clutch2.8

Strong CT-side openerEffective flashes

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 Twistzz 92% playstyle similarity

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

Where you differ: 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

Areas to improve

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 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Aim8.3

Positioning5.4

Utility4.8

Mechanics7.4

Opening Duels2.5

Win Impact2.6

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time559ms−77ms

first ⅓ avg 636ms → last ⅓ avg 559ms

Headshot accuracy20.0%−1.6%

first ⅓ avg 21.6% → last ⅓ avg 20.0%

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

0.15Best rating — ancient 13–6

12–1Biggest win — nuke

7Longest win streak

L7Current streak

6–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 80% over 10dust2Weakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	19	7–12	37%	0.00
dust2	D	18	6–12	33%	0.01
mirage	C	17	7–10	41%	0.00
nuke	A	16	9–7	56%	0.03
ancient	A	14	8–6	57%	0.01
anubis	S	10	8–2	80%	0.03
inferno	D	6	2–4	33%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,015Matches

49%Win rate

1.05Avg K/D

87.5ADR

39%Headshot %

Clutches & streaks

34%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	50%	1.01	17.0
Ancient	21	43%	1.04	16.6
Anubis	15	47%	1.15	17.9
Cache	13	46%	0.98	16.5
Dust2	13	38%	0.85	15.2
Nuke	9	56%	0.91	15.6
Inferno	6	33%	0.88	19.3
Vertigo	3	33%	1.17	16.0

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.

20.5%Headshot accuracy

38.6%Accuracy (enemy spotted)

35.0%Spray accuracy

83.3%Counter-strafing

8.3°Preaim

566msReaction time

30.0%T opening success

49.9%CT opening success

0.72Enemies flashed / flash

3.3%Flash assists

6.54HE damage / grenade

8.72Flashes / 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 29.9706% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	0.05	22%	22 Aug →
cache	9–13	-0.09	11%	16 Aug →
ancient	11–13	0.00	0%	15 Aug →
mirage	6–13	-0.02	27%	14 Aug →
cache	3–13	-0.00	42%	14 Aug →
inferno	11–13	0.05	23%	14 Aug →
ancient	3–13	-0.03	14%	14 Aug →
anubis	13–10	0.04	27%	13 Aug →
nuke	13–10	-0.04	16%	13 Aug →
ancient	8–13	-0.05	11%	13 Aug →
ancient	16–14	0.07	25%	13 Aug →
anubis	4–13	-0.06	24%	12 Aug →
ancient	13–11	-0.05	17%	12 Aug →
dust2	9–13	-0.04	15%	12 Aug →
inferno	6–13	-0.06	9%	12 Aug →
ancient	10–6	-0.01	14%	12 Aug →
mirage	13–4	0.05	13%	12 Aug →
dust2	15–15	0.08	25%	12 Aug →
mirage	13–3	0.03	14%	12 Aug →
nuke	12–1	0.03	32%	12 Aug →
dust2	3–13	-0.04	36%	12 Aug →
cache	8–13	0.04	32%	12 Aug →
cache	13–7	0.02	17%	11 Aug →
ancient	15–15	0.03	13%	11 Aug →
mirage	13–4	-0.01	24%	11 Aug →
mirage	7–13	-0.01	24%	11 Aug →
cache	8–13	-0.00	26%	11 Aug →
cache	13–8	0.05	34%	11 Aug →
dust2	13–6	0.06	8%	11 Aug →
mirage	16–19	-0.04	14%	10 Aug →
cache	2–13	-0.03	32%	10 Aug →
cache	13–7	0.05	13%	10 Aug →
inferno	0–13	-0.11	7%	9 Aug →
ancient	7–13	-0.01	16%	9 Aug →
mirage	13–8	0.06	16%	9 Aug →
anubis	16–14	0.02	16%	8 Aug →
anubis	13–10	0.04	27%	8 Aug →
cache	16–13	-0.03	18%	7 Aug →
cache	4–13	0.01	34%	6 Aug →
dust2	8–13	0.03	24%	5 Aug →
ancient	11–13	-0.01	15%	4 Aug →
nuke	13–5	0.08	13%	4 Aug →
mirage	13–11	0.02	24%	3 Aug →
cache	13–6	-0.03	28%	3 Aug →
anubis	13–6	0.00	20%	3 Aug →
nuke	13–8	-0.06	7%	2 Aug →
ancient	13–10	0.08	19%	1 Aug →
dust2	13–7	-0.06	8%	31 Jul →
mirage	7–13	0.01	22%	31 Jul →
ancient	13–7	0.00	0%	31 Jul →
dust2	8–13	-0.04	21%	30 Jul →
mirage	11–13	-0.04	16%	29 Jul →
ancient	7–0	0.04	27%	29 Jul →
dust2	5–13	-0.03	11%	29 Jul →
anubis	8–13	0.07	18%	29 Jul →
dust2	13–3	0.01	21%	29 Jul →
cache	13–10	0.14	20%	29 Jul →
cache	13–6	-0.02	35%	29 Jul →
nuke	8–13	0.01	15%	29 Jul →
nuke	13–5	0.08	23%	29 Jul →
cache	15–15	-0.01	30%	29 Jul →
dust2	13–2	0.06	17%	29 Jul →
inferno	13–10	0.09	32%	28 Jul →
dust2	6–13	-0.01	14%	27 Jul →
mirage	1–13	0.01	27%	27 Jul →
nuke	13–5	0.02	18%	27 Jul →
mirage	10–13	-0.02	14%	27 Jul →
ancient	13–6	0.15	34%	26 Jul →
anubis	16–14	0.05	31%	26 Jul →
nuke	16–14	0.07	13%	26 Jul →
nuke	4–13	0.06	29%	26 Jul →
nuke	13–9	0.05	18%	26 Jul →
dust2	13–6	-0.02	67%	26 Jul →
mirage	13–10	-0.00	23%	25 Jul →
mirage	4–13	-0.07	23%	24 Jul →
cache	3–13	-0.04	11%	24 Jul →
nuke	5–13	-0.00	26%	24 Jul →
nuke	13–16	0.02	24%	24 Jul →
dust2	8–13	0.06	29%	24 Jul →
anubis	13–9	0.02	21%	23 Jul →
mirage	5–13	-0.02	28%	23 Jul →
nuke	7–13	0.11	20%	22 Jul →
anubis	13–7	0.01	16%	22 Jul →
cache	5–13	-0.05	23%	21 Jul →
nuke	13–7	0.01	18%	21 Jul →
anubis	13–2	0.08	19%	21 Jul →
mirage	7–13	-0.00	27%	20 Jul →
dust2	9–13	0.01	20%	20 Jul →
dust2	2–13	-0.05	19%	20 Jul →
dust2	2–8	-0.04	9%	19 Jul →
cache	13–16	0.00	19%	18 Jul →
inferno	13–9	0.05	13%	18 Jul →
dust2	13–2	0.09	9%	18 Jul →
nuke	13–16	0.04	19%	12 Jul →
nuke	9–13	0.05	24%	12 Jul →
cache	10–13	-0.01	17%	11 Jul →
inferno	9–13	-0.05	9%	10 Jul →
ancient	16–12	0.00	8%	9 Jul →
mirage	13–9	0.08	23%	8 Jul →
cache	7–13	0.09	24%	8 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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