Barry Bössa — CS2 Stats

76561198018668208[U:1:58402480]

676Tracked matches47%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating19,757Purple band · top ~9.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning67

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWLWLWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim7.8

Aggression10.0

Utility6.0

Positioning6.7

Opening Duels4.6

Clutch5.2

Strong 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 sh1ro 94% 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

T-side openings. Opening success drops from 57% on CT to 39% 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

Aim7.8

Positioning6.7

Utility6.0

Mechanics6.8

Opening Duels4.6

Win Impact3.9

Composite 6.5/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time522ms+10ms

first ⅓ avg 512ms → last ⅓ avg 522ms

Headshot accuracy20.0%−2.1%

first ⅓ avg 22.0% → 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

0.25Best rating — inferno 13–1

13–1Biggest win — inferno

7Longest win streak

11–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 48% over 21

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	21	10–11	48%	0.02
nuke	A	19	12–7	63%	0.02
inferno	B	19	10–9	53%	0.02
anubis	A	11	6–5	55%	0.01
cache	B	10	5–5	50%	0.03
mirage	S	9	6–3	67%	0.03
dust2	B	8	4–4	50%	0.02
train	—	3	0–3	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (48% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

196Matches

52%Win rate

1.19Avg K/D

79.3ADR

45%Headshot %

Clutches & streaks

46%1v1 clutch win

19%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	54%	1.49	17.6
Dust2	28	54%	1.11	14.4
Inferno	27	63%	1.10	15.7
Ancient	12	42%	0.98	15.0
Nuke	10	50%	1.19	14.0
Anubis	8	12%	0.80	13.3
Train	5	60%	2.42	19.2
Vertigo	4	50%	0.62	10.3

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.

20.2%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.2%Spray accuracy

80.6%Counter-strafing

9.6°Preaim

521msReaction time

39.1%T opening success

57.3%CT opening success

0.58Enemies flashed / flash

5.2%Flash assists

10.57HE damage / grenade

10.10Flashes / 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 39.13% — below the 40% mark we flag

Spend your practice time on Ancient

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

48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	5–13	-0.01	19%	28 Aug →
ancient	16–13	0.04	11%	28 Aug →
nuke	16–12	0.05	40%	27 Aug →
nuke	4–13	-0.06	24%	27 Aug →
dust2	16–14	0.03	21%	27 Aug →
dust2	7–13	-0.04	15%	27 Aug →
inferno	13–6	0.05	29%	27 Aug →
mirage	6–13	0.01	0%	27 Aug →
cache	13–6	0.11	21%	27 Aug →
nuke	16–13	0.00	30%	26 Aug →
inferno	13–3	0.07	17%	26 Aug →
anubis	5–13	-0.06	28%	26 Aug →
nuke	10–13	0.03	14%	26 Aug →
cache	16–13	0.05	17%	26 Aug →
ancient	3–13	-0.03	25%	25 Aug →
ancient	11–13	0.02	18%	25 Aug →
inferno	7–13	-0.03	15%	25 Aug →
ancient	4–13	0.01	15%	25 Aug →
mirage	2–13	-0.05	11%	25 Aug →
anubis	7–13	-0.06	10%	23 Aug →
nuke	13–10	0.05	22%	23 Aug →
cache	10–13	-0.03	22%	23 Aug →
inferno	13–7	0.06	21%	23 Aug →
cache	13–11	0.01	20%	23 Aug →
nuke	10–13	0.03	36%	22 Aug →
nuke	7–13	-0.03	26%	22 Aug →
nuke	5–1	-0.10	17%	22 Aug →
inferno	13–7	0.01	0%	22 Aug →
mirage	13–6	0.07	16%	22 Aug →
inferno	2–13	-0.09	38%	21 Aug →
mirage	13–11	0.00	35%	21 Aug →
cache	13–9	-0.00	17%	21 Aug →
nuke	13–10	0.03	11%	21 Aug →
nuke	13–7	0.00	21%	21 Aug →
ancient	13–7	0.08	26%	21 Aug →
inferno	13–8	0.03	27%	21 Aug →
anubis	13–2	0.09	21%	21 Aug →
nuke	15–15	0.02	27%	21 Aug →
ancient	6–13	-0.04	25%	20 Aug →
mirage	13–5	-0.00	14%	20 Aug →
inferno	3–13	-0.00	38%	20 Aug →
nuke	13–8	0.08	9%	20 Aug →
cache	8–13	-0.07	14%	20 Aug →
ancient	13–9	0.02	20%	20 Aug →
anubis	7–13	0.01	18%	20 Aug →
dust2	13–8	0.04	17%	20 Aug →
anubis	13–5	-0.10	0%	19 Aug →
inferno	13–1	0.25	16%	19 Aug →
ancient	16–14	0.06	16%	19 Aug →
dust2	16–13	0.05	0%	19 Aug →
ancient	8–13	-0.03	19%	19 Aug →
anubis	13–2	0.02	19%	18 Aug →
dust2	4–13	0.01	16%	18 Aug →
inferno	14–16	0.03	15%	18 Aug →
ancient	8–13	0.04	10%	18 Aug →
inferno	13–6	0.15	30%	18 Aug →
mirage	13–11	0.11	19%	18 Aug →
cache	6–13	0.10	18%	18 Aug →
ancient	13–4	0.12	20%	18 Aug →
cache	9–13	0.00	22%	18 Aug →
dust2	13–6	0.03	27%	18 Aug →
train	10–13	0.04	24%	18 Aug →
ancient	5–13	-0.00	25%	17 Aug →
nuke	11–13	0.07	43%	17 Aug →
dust2	6–13	0.02	11%	17 Aug →
anubis	11–13	0.06	15%	17 Aug →
mirage	13–10	0.06	29%	17 Aug →
ancient	13–10	0.02	14%	17 Aug →
train	3–13	-0.07	17%	17 Aug →
inferno	13–7	0.03	24%	16 Aug →
nuke	13–9	0.00	31%	16 Aug →
inferno	13–8	0.02	22%	16 Aug →
ancient	13–11	0.04	31%	16 Aug →
ancient	14–16	0.00	15%	16 Aug →
anubis	13–11	0.10	16%	16 Aug →
ancient	11–13	-0.01	17%	16 Aug →
inferno	3–13	-0.12	19%	16 Aug →
mirage	9–13	0.05	27%	15 Aug →
train	3–13	-0.05	25%	15 Aug →
cache	13–6	0.12	32%	15 Aug →
nuke	13–4	0.17	20%	15 Aug →
ancient	13–4	0.04	25%	15 Aug →
ancient	8–13	0.01	27%	15 Aug →
nuke	11–13	-0.00	15%	15 Aug →
inferno	13–10	-0.02	27%	15 Aug →
ancient	6–13	-0.02	20%	14 Aug →
inferno	2–13	0.01	26%	14 Aug →
nuke	16–14	-0.02	14%	14 Aug →
anubis	13–11	0.02	13%	14 Aug →
inferno	15–15	-0.00	27%	14 Aug →
cache	5–13	-0.01	25%	13 Aug →
ancient	13–8	0.05	26%	13 Aug →
anubis	13–11	0.01	26%	13 Aug →
nuke	13–11	0.09	26%	13 Aug →
inferno	6–13	0.00	38%	13 Aug →
nuke	13–5	0.03	17%	12 Aug →
dust2	10–13	-0.01	13%	12 Aug →
mirage	13–6	0.03	23%	12 Aug →
ancient	13–9	0.08	17%	12 Aug →
inferno	3–13	-0.01	11%	12 Aug →