xabi — CS2 Stats

76561197971628956[U:1:11363228]

873Tracked matches67%Win rate2020Tracked since

CSDB Rating7.9 StrongAggressive Rifler

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#3062 of 20095 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning69

Utility84

0–100 skill scores via Leetify.

Recent form

HOT68–26–6Last 10068%Win rateWWLLLWWWWW

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

Player DNA

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

Aim8.5

Aggression9.0

Utility8.4

Positioning6.9

Opening Duels3.8

Clutch5.2

Sharp aimerStrong CT-side openerHigh utility contribution

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 jL 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher 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 85 — the mechanical foundation is a clear strength.

Utility. Utility score of 84 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim8.5

Positioning6.9

Utility8.4

Mechanics7.7

Opening Duels3.8

Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time599ms+23ms

first ⅓ avg 576ms → last ⅓ avg 599ms

Headshot accuracy21.8%+0.7%

first ⅓ avg 21.1% → last ⅓ avg 21.8%

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

0.27Best rating — inferno 9–1

13–1Biggest win — inferno

6Longest win streak

W2Current streak

4–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 85% over 13overpassWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	16–10	62%	0.03
inferno	S	21	15–6	71%	0.06
nuke	S	13	11–2	85%	0.03
cache	S	13	10–3	77%	0.07
ancient	S	10	7–3	70%	0.03
mirage	A	8	5–3	63%	-0.01
overpass	C	8	3–5	38%	0.04
eldorado	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,299Matches

75%Win rate

1.66Avg K/D

78.1ADR

45%Headshot %

Clutches & streaks

46%1v1 clutch win

20%1v2 clutch win

36Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	28	46%	1.00	14.7
Dust2	27	59%	1.12	16.7
Nuke	21	90%	1.28	17.8
Inferno	16	50%	1.08	15.3
Mirage	13	62%	0.93	15.4
Anubis	9	22%	0.88	12.4
Overpass	6	67%	1.07	15.3
Cache	5	60%	0.98	15.2

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.

21.6%Headshot accuracy

38.4%Accuracy (enemy spotted)

43.8%Spray accuracy

84.7%Counter-strafing

9.2°Preaim

603msReaction time

34.6%T opening success

55.7%CT opening success

0.70Enemies flashed / flash

15.3%Flash assists

12.27HE damage / grenade

16.80Flashes / 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 34.6162% — below the 40% mark we flag

Spend your practice time on Overpass

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–8	0.04	29%	20 Aug →
dust2	13–8	0.01	11%	20 Aug →
cache	5–13	-0.01	13%	16 Aug →
dust2	9–13	0.07	18%	5 Aug →
mirage	9–13	-0.04	11%	5 Aug →
dust2	13–10	0.07	27%	4 Aug →
nuke	13–11	0.03	28%	2 Aug →
cache	13–5	0.09	20%	2 Aug →
inferno	16–13	0.01	30%	2 Aug →
cache	13–5	0.13	23%	1 Aug →
mirage	13–3	0.06	10%	1 Aug →
overpass	10–13	0.08	18%	27 Jul →
ancient	1–13	-0.00	18%	27 Jul →
dust2	3–13	-0.08	25%	27 Jul →
dust2	13–5	0.04	33%	22 Jul →
inferno	13–8	0.04	22%	18 Jul →
cache	13–7	0.08	30%	18 Jul →
dust2	8–13	-0.01	26%	18 Jul →
nuke	13–7	-0.02	11%	12 Jul →
inferno	13–6	-0.01	24%	12 Jul →
cache	13–9	0.14	28%	10 Jul →
cache	10–13	0.11	25%	10 Jul →
cache	13–2	0.03	18%	10 Jul →
dust2	11–13	0.04	27%	10 Jul →
inferno	9–5	0.16	17%	9 Jul →
eldorado	9–4	0.16	24%	9 Jul →
inferno	8–8	0.10	29%	9 Jul →
inferno	9–1	0.27	38%	9 Jul →
cache	13–4	0.04	22%	4 Jul →
mirage	13–8	-0.02	19%	4 Jul →
dust2	13–3	0.07	13%	27 Jun →
nuke	10–13	-0.03	13%	27 Jun →
mirage	13–8	0.03	19%	27 Jun →
cache	13–8	0.18	27%	27 Jun →
ancient	13–10	0.01	29%	23 Jun →
inferno	12–12	0.05	21%	21 Jun →
nuke	13–4	-0.01	18%	21 Jun →
dust2	13–3	0.09	26%	20 Jun →
dust2	10–13	0.03	24%	19 Jun →
inferno	13–8	0.10	31%	19 Jun →
dust2	13–6	0.08	18%	19 Jun →
cache	13–2	0.03	24%	19 Jun →
ancient	6–13	-0.03	26%	18 Jun →
dust2	3–9	0.01	18%	17 Jun →
ancient	13–9	0.00	23%	14 Jun →
inferno	13–10	0.01	20%	14 Jun →
inferno	9–2	0.02	64%	14 Jun →
inferno	8–8	0.10	22%	14 Jun →
inferno	13–6	0.12	32%	13 Jun →
nuke	9–6	0.07	33%	13 Jun →
dust2	3–13	-0.06	11%	13 Jun →
nuke	13–7	0.01	16%	12 Jun →
dust2	13–11	-0.01	22%	11 Jun →
inferno	16–12	0.05	18%	10 Jun →
nuke	9–13	0.06	26%	8 Jun →
nuke	13–6	0.08	31%	6 Jun →
inferno	13–1	0.17	31%	6 Jun →
dust2	13–6	0.10	28%	6 Jun →
dust2	13–10	0.05	26%	2 Jun →
dust2	13–6	0.02	25%	30 May →
overpass	13–6	0.11	13%	28 May →
mirage	7–13	-0.03	21%	28 May →
ancient	13–9	0.09	27%	28 May →
dust2	13–5	0.04	26%	26 May →
inferno	13–6	0.01	21%	25 May →
inferno	0–2	-0.00	0%	24 May →
ancient	13–11	0.02	23%	24 May →
overpass	7–13	0.09	25%	24 May →
dust2	15–15	-0.04	21%	23 May →
nuke	13–3	0.08	22%	23 May →
inferno	13–10	0.06	18%	22 May →
ancient	7–13	0.08	29%	22 May →
overpass	13–6	0.01	10%	21 May →
nuke	28–25	0.04	17%	20 May →
cache	13–7	0.01	17%	20 May →
dust2	13–8	0.02	13%	19 May →
mirage	4–13	-0.01	33%	19 May →
dust2	13–8	0.02	22%	19 May →
inferno	13–3	0.10	29%	19 May →
nuke	13–9	0.06	26%	19 May →
nuke	13–8	0.03	27%	18 May →
overpass	2–13	-0.01	14%	15 May →
inferno	11–13	-0.06	12%	15 May →
overpass	7–13	-0.03	18%	15 May →
dust2	13–9	0.22	22%	14 May →
cache	13–3	0.04	16%	14 May →
overpass	13–5	0.05	20%	14 May →
dust2	13–8	0.00	13%	14 May →
mirage	13–7	-0.02	18%	13 May →
dust2	8–13	-0.02	15%	13 May →
overpass	11–13	0.00	29%	8 May →
mirage	13–6	-0.04	16%	8 May →
ancient	13–11	-0.04	19%	8 May →
cache	12–12	0.01	28%	8 May →
dust2	8–13	0.00	25%	7 May →
ancient	13–9	0.05	26%	7 May →
inferno	13–7	0.07	23%	7 May →
ancient	13–1	0.07	24%	5 May →
dust2	13–8	0.05	31%	5 May →
inferno	15–15	-0.03	18%	4 May →