Mr_BBG — CS2 Stats

76561198026676878[U:1:66411150]

388Tracked matches64%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning53

Utility58

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateWLWLWWWWLW

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

Player DNA

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

Aim8.1

Aggression7.2

Utility5.8

Positioning5.3

Opening Duels1.8

Clutch5.0

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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 637ms 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

Aim8.1

Positioning5.3

Utility5.8

Mechanics8.6

Opening Duels1.8

Win Impact9.8

Composite 6.8/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time629ms+11ms

first ⅓ avg 618ms → last ⅓ avg 629ms

Headshot accuracy15.2%+1.5%

first ⅓ avg 13.7% → last ⅓ avg 15.2%

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 — dust2 13–1

13–0Biggest win — dust2

5Longest win streak

5–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 67% over 18anubisWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	21–15	58%	0.01
cache	S	18	12–6	67%	0.00
inferno	B	17	9–8	53%	0.01
nuke	S	12	8–4	67%	-0.01
anubis	B	6	3–3	50%	-0.00
train	—	4	0–4	0%	-0.02
ancient	—	3	1–2	33%	-0.03
vertigo	—	2	0–2	0%	0.01
overpass	—	2	0–2	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches

54%Win rate

1.07Avg K/D

73.6ADR

37%Headshot %

Clutches & streaks

45%1v1 clutch win

12%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	27	59%	1.10	15.1
Anubis	15	47%	0.89	14.3
Cache	10	70%	1.18	16.8
Nuke	2	0%	0.67	11.0
Ancient	2	100%	0.92	12.0
Inferno	1	0%	0.61	11.0

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.

15.2%Headshot accuracy

41.0%Accuracy (enemy spotted)

41.4%Spray accuracy

88.6%Counter-strafing

9.0°Preaim

637msReaction time

35.8%T opening success

38.5%CT opening success

0.56Enemies flashed / flash

7.4%Flash assists

13.41HE damage / grenade

5.12Flashes / 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 35.8125% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	0.06	17%	17 Aug →
ancient	10–13	-0.03	9%	14 Aug →
cache	13–10	-0.00	21%	4 Aug →
nuke	5–13	-0.08	5%	28 Jul →
cache	13–11	0.08	12%	24 Jul →
ancient	13–11	-0.01	13%	24 Jul →
cache	13–7	0.02	18%	24 Jul →
anubis	13–8	0.02	10%	23 Jul →
anubis	6–13	-0.05	18%	20 Jul →
dust2	13–5	-0.00	31%	9 Jul →
dust2	13–4	0.05	27%	8 Jul →
cache	2–0	-0.01	0%	7 Jul →
dust2	13–3	0.05	26%	7 Jul →
cache	13–4	-0.00	26%	7 Jul →
cache	11–13	-0.02	9%	6 Jul →
inferno	13–16	-0.04	10%	6 Jul →
dust2	13–8	0.03	25%	5 Jul →
anubis	11–13	-0.02	13%	28 Jun →
cache	12–12	-0.01	10%	28 Jun →
nuke	13–7	0.02	23%	19 Jun →
inferno	13–10	0.02	12%	8 Jun →
cache	12–12	0.03	16%	8 Jun →
nuke	13–6	-0.02	16%	7 Jun →
dust2	11–13	0.04	11%	6 Jun →
anubis	4–13	0.01	14%	6 Jun →
dust2	13–0	-0.02	12%	6 Jun →
cache	13–4	-0.06	7%	6 Jun →
nuke	3–13	-0.05	15%	6 Jun →
cache	13–9	-0.00	9%	5 Jun →
dust2	8–13	-0.05	18%	4 Jun →
cache	4–13	-0.00	14%	4 Jun →
cache	13–10	-0.03	15%	3 Jun →
cache	13–7	-0.02	18%	1 Jun →
dust2	13–5	-0.04	16%	31 May →
cache	13–10	-0.03	18%	30 May →
dust2	10–13	0.05	14%	19 May →
cache	8–13	-0.01	15%	16 May →
cache	13–9	0.03	14%	12 May →
cache	7–13	-0.01	15%	12 May →
dust2	8–13	-0.04	33%	1 May →
vertigo	5–13	0.06	9%	23 Oct →
vertigo	2–13	-0.03	16%	22 Oct →
anubis	13–11	0.02	3%	20 Oct →
inferno	2–13	-0.02	5%	10 Oct →
inferno	13–8	0.14	11%	8 Oct →
dust2	16–13	0.00	16%	6 Oct →
dust2	13–7	0.00	15%	6 Oct →
dust2	6–13	-0.03	11%	5 Oct →
inferno	5–13	-0.07	7%	22 Sept →
dust2	13–5	-0.04	25%	16 Sept →
dust2	13–8	-0.01	22%	16 Sept →
dust2	13–5	0.07	23%	15 Sept →
train	9–13	-0.08	6%	15 Sept →
inferno	7–13	0.05	11%	15 Sept →
nuke	13–3	0.04	16%	12 Sept →
dust2	4–13	-0.01	21%	12 Sept →
inferno	2–13	-0.10	13%	12 Sept →
dust2	16–14	-0.02	11%	11 Sept →
train	7–13	-0.04	12%	10 Sept →
dust2	13–10	-0.01	9%	10 Sept →
train	7–13	-0.02	10%	9 Sept →
nuke	16–12	0.01	11%	9 Sept →
overpass	7–13	0.03	10%	8 Sept →
inferno	13–5	-0.01	25%	7 Sept →
dust2	13–1	0.15	21%	6 Sept →
dust2	7–13	0.03	10%	5 Sept →
nuke	13–8	-0.00	14%	4 Sept →
dust2	13–3	0.14	13%	29 Aug →
nuke	6–13	-0.02	13%	28 Aug →
inferno	13–6	0.07	21%	28 Aug →
dust2	9–13	-0.03	7%	26 Aug →
inferno	13–1	0.07	11%	22 Aug →
overpass	10–13	-0.02	14%	22 Aug →
nuke	1–13	-0.01	20%	21 Aug →
nuke	13–8	0.00	7%	21 Aug →
train	4–13	0.04	12%	20 Aug →
inferno	9–13	-0.02	20%	20 Aug →
inferno	8–13	-0.02	2%	19 Aug →
dust2	7–13	0.08	11%	19 Aug →
dust2	13–8	0.04	14%	6 Aug →
dust2	13–7	0.05	13%	5 Aug →
dust2	15–15	-0.01	11%	5 Aug →
dust2	13–5	0.03	14%	4 Aug →
dust2	10–13	-0.05	23%	17 Jul →
nuke	13–7	0.01	8%	17 Jul →
dust2	13–7	0.03	33%	17 Jul →
inferno	13–4	0.00	16%	17 Jul →
ancient	8–13	-0.04	18%	16 Jul →
nuke	13–8	0.03	16%	16 Jul →
dust2	8–13	-0.01	13%	16 Jul →
dust2	9–13	-0.05	14%	15 Jul →
dust2	11–13	-0.02	20%	15 Jul →
dust2	13–7	-0.02	13%	15 Jul →
anubis	13–9	0.02	8%	13 Jul →
dust2	13–3	0.05	11%	13 Jul →
inferno	9–13	-0.02	14%	12 Jul →
inferno	13–3	0.11	11%	12 Jul →
dust2	8–13	-0.06	10%	12 Jul →
inferno	13–9	-0.05	17%	11 Jul →
inferno	13–1	0.04	8%	11 Jul →