GaBi — CS2 Stats

PRO“Lindinha”MIBR feBrazilRiflerSettings & gear profile →

BR76561198095922337[U:1:135656609]Steam profile ↗✓ No bans

1,706Tracked matches63%Win rate2020Tracked since

CSDB Rating7.0 StrongHybrid Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning56

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWLLWWLLWLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.7

Aggression5.0

Utility6.6

Positioning5.6

Opening Duels1.5

Clutch2.8

Sharp aimerStrong 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 NiKo 96% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 27% 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

Aim8.7

Positioning5.6

Utility6.6

Mechanics7.5

Opening Duels1.9

Win Impact9.4

Composite 7.0/10 (Strong), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time534ms−55ms

first ⅓ avg 589ms → last ⅓ avg 534ms

Headshot accuracy21.7%+0.8%

first ⅓ avg 20.9% → last ⅓ avg 21.7%

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

0.12Best rating — dust2 13–7

13–3Biggest win — cache

8Longest win streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 67% over 6mirageWeakest map · 47% over 32

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	32	15–17	47%	0.01
dust2	A	30	19–11	63%	0.01
ancient	A	20	12–8	60%	-0.00
nuke	S	6	4–2	67%	0.04
cache	—	4	1–3	25%	0.02
anubis	—	4	2–2	50%	-0.00
inferno	—	3	3–0	100%	0.01
overpass	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 32). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,912Matches

52%Win rate

1.03Avg K/D

73.4ADR

52%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	424	53%	1.05	14.6
Anubis	185	59%	1.02	14.9
Dust2	162	51%	1.04	14.4
Ancient	140	56%	1.07	14.9
Nuke	28	50%	1.02	13.8
Inferno	18	39%	1.04	15.3
Vertigo	10	50%	1.08	18.0
Train	5	80%	1.20	18.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$1,361Inventory value40ItemsFull inventory breakdown →

$646

$290

$92

$80

$72

$49

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.7%Headshot accuracy

38.5%Accuracy (enemy spotted)

39.3%Spray accuracy

83.9%Counter-strafing

8.8°Preaim

517msReaction time

26.9%T opening success

45.1%CT opening success

0.80Enemies flashed / flash

11.0%Flash assists

7.98HE damage / grenade

11.90Flashes / 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 26.9493% — 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.

47% win rate across 32 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
dust2	13–6	0.01	23%	24 Aug →
mirage	9–13	-0.03	11%	24 Aug →
mirage	7–13	-0.04	19%	24 Aug →
ancient	13–10	0.05	9%	24 Aug →
ancient	13–11	0.08	17%	17 Aug →
ancient	7–13	-0.05	24%	14 Aug →
cache	2–13	-0.04	17%	8 Aug →
ancient	13–9	0.03	25%	8 Aug →
mirage	11–13	0.01	19%	8 Aug →
mirage	13–8	0.01	36%	8 Aug →
cache	13–3	0.07	23%	4 Aug →
dust2	13–5	-0.00	21%	4 Aug →
mirage	13–7	0.08	22%	25 Jul →
mirage	13–10	-0.03	14%	22 Jul →
nuke	13–11	0.02	33%	13 Jul →
dust2	13–4	0.02	21%	13 Jul →
mirage	13–5	0.04	29%	13 Jul →
dust2	8–13	-0.01	15%	10 Jul →
cache	7–13	0.02	32%	10 Jul →
dust2	8–13	0.05	21%	7 Jul →
inferno	13–4	-0.01	15%	26 Jun →
ancient	9–13	-0.04	17%	26 Jun →
nuke	25–21	-0.01	16%	26 Jun →
dust2	13–10	-0.04	15%	26 Jun →
overpass	13–3	0.05	19%	26 Jun →
ancient	13–10	-0.01	15%	26 Jun →
inferno	13–3	0.01	27%	17 Jun →
mirage	5–13	0.07	25%	8 Jun →
mirage	11–13	-0.04	18%	8 Jun →
inferno	13–3	0.02	33%	7 Jun →
dust2	6–13	-0.06	20%	7 Jun →
dust2	13–11	0.03	34%	31 May →
dust2	11–13	0.02	28%	31 May →
nuke	10–13	0.00	15%	16 May →
dust2	11–13	0.01	16%	16 May →
ancient	13–9	-0.05	14%	16 May →
ancient	13–9	-0.05	14%	16 May →
dust2	3–13	-0.06	31%	15 May →
mirage	5–13	-0.00	16%	15 May →
dust2	13–11	0.00	21%	13 May →
dust2	8–13	-0.02	16%	12 May →
mirage	1–13	-0.06	19%	12 May →
ancient	9–13	0.01	22%	11 May →
dust2	16–12	0.05	28%	11 May →
nuke	13–10	0.08	34%	10 May →
cache	11–13	0.03	23%	6 May →
mirage	12–16	-0.01	26%	6 May →
ancient	13–4	-0.01	15%	5 May →
nuke	13–3	0.07	28%	3 May →
dust2	13–7	0.03	19%	3 May →
mirage	15–15	0.01	25%	3 May →
mirage	13–11	-0.00	21%	3 May →
dust2	8–13	-0.00	26%	26 Apr →
ancient	16–12	-0.03	22%	24 Apr →
mirage	11–13	0.02	18%	24 Apr →
mirage	13–10	0.06	31%	23 Apr →
dust2	13–3	0.06	19%	9 Apr →
anubis	13–6	0.04	30%	9 Apr →
dust2	9–13	-0.03	24%	5 Apr →
mirage	13–11	0.05	20%	24 Mar →
ancient	17–19	-0.01	23%	24 Mar →
mirage	13–8	0.03	19%	19 Mar →
dust2	13–8	0.02	22%	19 Mar →
dust2	13–10	0.03	15%	19 Mar →
ancient	10–13	-0.03	21%	17 Mar →
mirage	13–9	0.09	23%	17 Mar →
mirage	13–5	-0.05	18%	17 Mar →
dust2	13–5	-0.06	8%	17 Mar →
ancient	15–15	0.01	16%	16 Mar →
nuke	9–13	0.10	15%	16 Mar →
mirage	13–10	0.05	14%	12 Mar →
mirage	13–9	0.02	22%	12 Mar →
dust2	6–0	0.03	23%	12 Mar →
mirage	10–13	0.00	19%	12 Mar →
ancient	13–3	0.01	14%	12 Mar →
dust2	13–7	0.12	13%	12 Mar →
ancient	9–13	-0.01	27%	11 Mar →
dust2	13–9	0.03	24%	11 Mar →
mirage	13–5	0.00	19%	11 Mar →
anubis	15–15	0.02	16%	10 Mar →
dust2	13–10	-0.03	14%	10 Mar →
mirage	13–10	0.02	27%	10 Mar →
anubis	13–4	-0.06	24%	7 Mar →
mirage	9–13	-0.04	21%	7 Mar →
ancient	5–13	-0.03	16%	2 Mar →
mirage	12–16	0.01	26%	1 Mar →
ancient	13–5	0.02	29%	1 Mar →
anubis	6–13	-0.01	24%	1 Mar →
mirage	13–16	0.02	26%	19 Feb →
mirage	10–13	-0.01	15%	16 Feb →
dust2	12–16	0.11	25%	16 Feb →
dust2	5–13	-0.05	24%	15 Feb →
mirage	3–13	0.01	20%	15 Feb →
dust2	13–4	0.03	22%	14 Feb →
mirage	11–13	-0.06	23%	14 Feb →
ancient	13–7	0.01	18%	14 Feb →
dust2	13–5	0.07	27%	14 Feb →
dust2	13–9	0.04	20%	7 Feb →
mirage	13–4	0.00	24%	7 Feb →
ancient	13–7	0.07	31%	7 Feb →