aOxx — CS2 Stats

76561198268864093[U:1:308598365]

1,369Tracked matches41%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating25,303Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning64

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWWLLWLWWL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.0

Aggression8.6

Utility5.6

Positioning6.4

Opening Duels4.7

Clutch3.8

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 donk 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 36% 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

Aim8.0

Positioning6.4

Utility5.6

Mechanics6.0

Opening Duels4.7

Win Impact2.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time548ms−32ms

first ⅓ avg 580ms → last ⅓ avg 548ms

Headshot accuracy17.9%−0.4%

first ⅓ avg 18.3% → last ⅓ avg 17.9%

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

0.22Best rating — mirage 4–2

13–0Biggest win — inferno

5Longest win streak

7–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 80% over 15ancientWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	12–18	40%	0.01
inferno	B	16	8–8	50%	0.02
cache	S	15	12–3	80%	0.01
mirage	A	13	8–5	62%	0.02
ancient	D	12	2–10	17%	0.02
nuke	A	7	4–3	57%	0.00
anubis	S	6	4–2	67%	0.01
overpass	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

692Matches

52%Win rate

1.18Avg K/D

78.7ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	91	47%	1.09	15.5
Anubis	62	58%	1.14	15.5
Dust2	59	59%	1.10	15.4
Ancient	53	57%	1.11	16.9
Inferno	31	52%	1.07	16.2
Nuke	20	50%	0.85	13.8
Vertigo	11	64%	0.99	17.0
Train	11	45%	1.00	15.7

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.

17.9%Headshot accuracy

37.8%Accuracy (enemy spotted)

40.7%Spray accuracy

77.2%Counter-strafing

9.0°Preaim

539msReaction time

35.8%T opening success

62.2%CT opening success

0.63Enemies flashed / flash

5.4%Flash assists

6.55HE damage / grenade

7.83Flashes / 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 35.7566% — 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.

17% win rate across 12 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
nuke	11–13	0.01	18%	26 Aug →
dust2	13–7	0.01	32%	26 Aug →
dust2	13–7	-0.05	11%	26 Aug →
inferno	8–13	-0.01	16%	26 Aug →
cache	10–13	0.03	13%	25 Aug →
mirage	13–4	0.03	16%	25 Aug →
dust2	7–13	-0.04	25%	24 Aug →
cache	13–11	-0.03	19%	24 Aug →
dust2	13–11	-0.01	13%	24 Aug →
inferno	3–13	-0.01	16%	24 Aug →
anubis	9–13	-0.06	14%	23 Aug →
dust2	11–13	0.07	18%	21 Aug →
nuke	9–13	0.06	23%	21 Aug →
cache	11–13	-0.04	10%	21 Aug →
cache	8–13	0.01	11%	20 Aug →
ancient	15–15	0.04	17%	17 Aug →
anubis	13–5	0.13	17%	17 Aug →
inferno	12–16	0.02	18%	16 Aug →
cache	13–8	-0.04	13%	16 Aug →
ancient	13–4	0.05	16%	16 Aug →
dust2	7–13	-0.03	13%	16 Aug →
cache	16–12	-0.00	10%	16 Aug →
cache	16–13	0.13	28%	16 Aug →
dust2	14–16	-0.04	21%	16 Aug →
dust2	13–9	0.01	10%	15 Aug →
ancient	6–13	0.06	25%	15 Aug →
dust2	9–13	0.02	25%	15 Aug →
inferno	6–13	-0.04	18%	15 Aug →
dust2	7–13	-0.03	27%	15 Aug →
dust2	16–13	0.04	24%	15 Aug →
dust2	3–13	0.03	23%	15 Aug →
mirage	13–6	0.00	10%	11 Aug →
cache	16–14	0.02	23%	11 Aug →
inferno	13–9	0.12	21%	9 Aug →
inferno	8–13	0.01	23%	9 Aug →
dust2	16–14	0.05	11%	9 Aug →
cache	13–10	-0.02	22%	8 Aug →
ancient	10–13	-0.04	21%	8 Aug →
dust2	13–16	0.01	21%	4 Aug →
dust2	5–13	-0.09	14%	4 Aug →
anubis	13–7	-0.05	13%	4 Aug →
mirage	13–5	-0.07	9%	4 Aug →
dust2	10–13	0.00	14%	4 Aug →
dust2	10–13	-0.03	30%	2 Aug →
nuke	11–3	0.03	28%	30 Jul →
inferno	13–6	-0.01	14%	30 Jul →
inferno	10–13	-0.02	9%	30 Jul →
mirage	6–13	-0.10	19%	29 Jul →
inferno	13–11	0.06	29%	28 Jul →
inferno	13–0	-0.02	50%	28 Jul →
dust2	13–7	0.04	22%	27 Jul →
dust2	13–1	0.04	28%	27 Jul →
dust2	13–10	0.03	17%	25 Jul →
mirage	8–13	0.01	31%	25 Jul →
dust2	9–13	-0.00	13%	23 Jul →
cache	16–13	-0.04	21%	23 Jul →
cache	13–11	0.06	23%	22 Jul →
dust2	7–13	0.01	19%	22 Jul →
inferno	13–10	0.02	24%	21 Jul →
anubis	13–5	0.04	18%	21 Jul →
mirage	3–13	-0.06	23%	19 Jul →
cache	13–6	0.04	21%	18 Jul →
nuke	13–5	-0.05	10%	17 Jul →
anubis	2–13	-0.03	19%	16 Jul →
dust2	2–13	-0.04	16%	16 Jul →
cache	13–5	-0.03	33%	16 Jul →
dust2	13–7	0.08	28%	14 Jul →
mirage	13–4	0.05	24%	14 Jul →
mirage	0–13	-0.08	0%	14 Jul →
inferno	13–4	0.02	14%	13 Jul →
inferno	0–11	-0.02	11%	10 Jul →
overpass	13–6	0.09	19%	10 Jul →
nuke	13–3	0.01	18%	8 Jul →
ancient	7–13	0.06	22%	8 Jul →
nuke	10–13	-0.06	20%	6 Jul →
ancient	6–13	-0.07	16%	6 Jul →
dust2	13–8	0.05	25%	6 Jul →
cache	13–10	-0.01	9%	6 Jul →
ancient	11–13	0.06	22%	3 Jul →
dust2	11–13	-0.03	31%	3 Jul →
inferno	3–13	0.03	24%	3 Jul →
mirage	12–12	0.09	11%	3 Jul →
cache	13–6	0.03	26%	3 Jul →
mirage	4–2	0.22	20%	3 Jul →
mirage	13–8	0.05	24%	3 Jul →
ancient	5–13	0.04	19%	2 Jul →
anubis	13–5	0.02	16%	2 Jul →
inferno	13–10	0.06	35%	28 Jun →
mirage	13–3	0.03	19%	28 Jun →
ancient	15–15	0.01	8%	28 Jun →
ancient	7–13	-0.03	10%	22 Jun →
dust2	7–13	0.02	14%	19 Jun →
ancient	13–10	0.06	14%	19 Jun →
dust2	6–13	0.02	27%	19 Jun →
nuke	13–8	0.02	21%	18 Jun →
inferno	13–7	0.06	18%	17 Jun →
mirage	13–3	0.07	15%	17 Jun →
dust2	16–12	0.05	15%	16 Jun →
ancient	6–13	-0.03	20%	16 Jun →
dust2	4–13	-0.01	17%	16 Jun →