Boliña de Gorfe — CS2 Stats

76561198184709619[U:1:224443891]

1,608Tracked matches48%Win rate2021Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating24,240Top 50% of 819 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning54

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLLWWWLLWLW

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

Player DNA

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

Aim6.4

Aggression6.9

Utility5.3

Positioning5.4

Opening Duels3.3

Clutch4.4

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 ropz 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 51% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim6.4

Positioning5.4

Utility5.3

Mechanics5.0

Opening Duels3.3

Win Impact4.4

Composite 5.4/10 (Developing), 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 rating0.04+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time581ms−7ms

first ⅓ avg 587ms → last ⅓ avg 581ms

Headshot accuracy17.7%+0.1%

first ⅓ avg 17.6% → last ⅓ avg 17.7%

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

0.17Best rating — ancient 13–2

13–0Biggest win — inferno

4Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 55% over 11mirageWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	12–12	50%	0.03
dust2	B	21	10–11	48%	0.04
ancient	B	16	8–8	50%	0.05
overpass	A	11	6–5	55%	0.04
anubis	D	8	1–7	13%	-0.01
mirage	D	6	0–6	0%	0.01
nuke	B	6	3–3	50%	0.00
cache	—	3	1–2	33%	0.06
vertigo	—	2	1–1	50%	0.05
train	—	2	1–1	50%	0.10
poseidon	—	1	0–1	0%	0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches

54%Win rate

1.36Avg K/D

86.0ADR

49%Headshot %

Clutches & streaks

42%1v1 clutch win

19%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	25%	1.14	18.8
Dust2	7	71%	1.29	20.3
Inferno	3	67%	0.92	16.3
Cache	3	100%	1.55	15.3
Overpass	2	0%	1.14	17.5
Ancient	1	0%	1.00	14.0

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.

18.2%Headshot accuracy

35.2%Accuracy (enemy spotted)

41.2%Spray accuracy

72.3%Counter-strafing

11.1°Preaim

598msReaction time

35.7%T opening success

50.9%CT opening success

0.64Enemies flashed / flash

2.4%Flash assists

8.76HE damage / grenade

9.22Flashes / 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 35.6895% — 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.

0% win rate across 6 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
ancient	4–13	-0.00	26%	15 Aug →
inferno	10–13	0.03	11%	14 Aug →
dust2	13–11	0.02	15%	13 Aug →
ancient	13–11	0.04	12%	13 Aug →
ancient	13–2	0.14	15%	13 Aug →
anubis	5–13	-0.06	17%	13 Aug →
dust2	10–13	-0.06	28%	26 Jul →
dust2	13–10	0.11	30%	26 Jul →
inferno	3–13	0.04	11%	23 Jul →
inferno	13–11	0.03	19%	17 Jul →
dust2	13–2	0.15	19%	17 Jul →
inferno	13–0	0.06	20%	17 Jul →
mirage	0–2	-0.00	0%	17 Jul →
mirage	10–13	0.03	17%	16 Jul →
inferno	3–13	-0.01	16%	16 Jul →
dust2	4–13	0.02	24%	16 Jul →
inferno	13–3	0.05	14%	16 Jul →
inferno	7–13	-0.05	10%	15 Jul →
anubis	10–13	-0.09	33%	15 Jul →
nuke	13–6	0.04	25%	15 Jul →
anubis	13–10	0.06	7%	15 Jul →
inferno	13–11	0.03	17%	15 Jul →
dust2	4–13	-0.00	30%	15 Jul →
nuke	13–3	0.00	11%	14 Jul →
dust2	13–4	-0.06	12%	9 Jul →
dust2	13–2	0.12	24%	9 Jul →
dust2	9–13	0.06	27%	5 Jul →
inferno	6–13	0.03	14%	5 Jul →
overpass	15–15	0.07	16%	5 Jul →
anubis	5–13	0.00	13%	5 Jul →
inferno	6–13	0.10	20%	27 Jun →
ancient	13–2	0.17	25%	15 Jun →
ancient	13–10	0.12	11%	15 Jun →
inferno	13–3	0.08	17%	15 Jun →
anubis	2–13	0.00	27%	12 Jun →
overpass	13–10	0.07	11%	12 Jun →
dust2	16–12	0.07	16%	12 Jun →
dust2	13–9	0.09	22%	12 Jun →
ancient	5–13	0.04	15%	12 Jun →
dust2	15–15	0.05	17%	11 Jun →
overpass	10–13	0.05	14%	11 Jun →
anubis	14–16	0.04	17%	8 Jun →
inferno	13–10	0.04	22%	8 Jun →
nuke	10–13	0.02	15%	7 Jun →
dust2	7–13	-0.00	20%	7 Jun →
vertigo	13–0	0.07	6%	7 Jun →
vertigo	7–13	0.03	7%	7 Jun →
poseidon	8–8	0.14	30%	7 Jun →
dust2	4–13	0.11	20%	7 Jun →
ancient	8–13	0.04	20%	7 Jun →
nuke	0–13	-0.09	4%	7 Jun →
inferno	6–13	0.11	17%	7 Jun →
ancient	13–10	0.02	21%	27 May →
ancient	13–11	0.04	26%	27 May →
dust2	13–4	0.04	27%	27 May →
inferno	0–13	-0.04	0%	9 May →
nuke	13–11	0.03	16%	9 May →
cache	11–13	0.04	26%	9 May →
inferno	16–13	0.02	16%	2 May →
train	13–5	0.15	28%	1 May →
dust2	13–10	0.03	17%	1 May →
inferno	13–9	0.06	31%	1 May →
mirage	9–13	-0.05	17%	1 May →
cache	13–4	0.07	17%	1 May →
cache	12–12	0.05	24%	1 May →
mirage	15–15	0.02	12%	6 Apr →
ancient	9–13	0.06	17%	6 Apr →
dust2	13–8	0.08	16%	4 Apr →
nuke	7–13	0.03	15%	4 Apr →
dust2	5–13	-0.07	24%	4 Apr →
mirage	11–13	0.06	26%	4 Apr →
dust2	3–13	0.01	14%	5 Feb →
ancient	13–11	0.07	29%	2 Feb →
dust2	5–13	0.01	12%	2 Feb →
anubis	5–13	-0.06	19%	2 Feb →
overpass	6–13	-0.01	17%	2 Feb →
inferno	15–15	-0.03	12%	2 Feb →
inferno	7–13	0.05	10%	29 Jan →
overpass	0–13	-0.08	5%	29 Jan →
ancient	4–13	-0.04	6%	29 Jan →
overpass	13–4	-0.00	11%	27 Jan →
ancient	16–13	0.03	29%	27 Jan →
overpass	13–9	-0.00	18%	27 Jan →
inferno	2–9	-0.14	32%	7 Jan →
train	11–13	0.05	26%	3 Jan →
inferno	13–7	-0.03	10%	26 Dec →
ancient	11–13	-0.00	17%	26 Dec →
inferno	13–2	0.09	12%	24 Dec →
mirage	13–16	0.01	32%	24 Dec →
inferno	13–7	-0.05	35%	24 Dec →
ancient	9–13	0.03	13%	24 Dec →
anubis	4–13	0.03	15%	15 Dec →
inferno	1–13	-0.01	7%	6 Dec →
dust2	6–13	-0.03	35%	6 Dec →
overpass	13–10	0.06	7%	22 Nov →
inferno	13–10	0.15	18%	22 Nov →
ancient	2–13	0.00	23%	22 Nov →
overpass	14–16	0.03	9%	8 Nov →
overpass	13–7	0.09	16%	8 Nov →
overpass	13–3	0.12	13%	8 Nov →