JBobbyG — CS2 Stats

76561198373774083[U:1:413508355]

2,413Tracked matches53%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating18,044Purple band · top ~16.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning54

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLLLLWWTLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.9

Aggression6.5

Utility6.2

Positioning5.4

Opening Duels2.2

Clutch3.6

Excellent 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 Twistzz 93% playstyle similarity

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

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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim7.9

Positioning5.4

Utility6.2

Mechanics9.3

Opening Duels3.0

Win Impact6.1

Composite 6.7/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time654ms+16ms

first ⅓ avg 639ms → last ⅓ avg 654ms

Headshot accuracy19.7%+3.8%

first ⅓ avg 15.8% → last ⅓ avg 19.7%

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

0.14Best rating — mirage 8–13

13–1Biggest win — dust2

7Longest win streak

6–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 71% over 14infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	10–15	40%	0.01
ancient	A	20	11–9	55%	-0.02
anubis	S	14	10–4	71%	0.00
inferno	D	14	4–10	29%	-0.01
cache	A	7	4–3	57%	0.00
dust2	S	7	5–2	71%	0.02
overpass	A	7	4–3	57%	-0.02
nuke	B	6	3–3	50%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

426Matches

48%Win rate

1.00Avg K/D

83.3ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

26%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	59%	1.15	16.4
Inferno	40	45%	1.20	17.3
Anubis	37	54%	1.17	18.0
Ancient	28	32%	1.11	17.6
Vertigo	13	69%	1.14	16.5
Nuke	11	36%	1.41	19.4
Overpass	7	57%	1.21	19.1
Dust2	7	71%	1.34	19.4

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.

19.5%Headshot accuracy

37.4%Accuracy (enemy spotted)

39.4%Spray accuracy

91.6%Counter-strafing

9.9°Preaim

648msReaction time

23.9%T opening success

53.7%CT opening success

0.55Enemies flashed / flash

12.0%Flash assists

10.41HE damage / grenade

10.84Flashes / 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 23.9186% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

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