P — CS2 Stats

76561198192924746[U:1:232659018]

2,593Tracked matches52%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating23,122Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning57

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWLWLLTWWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.1

Aggression7.7

Utility5.6

Positioning5.7

Opening Duels3.6

Clutch4.0

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 b1t 93% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.1

Positioning5.7

Utility5.6

Mechanics5.5

Opening Duels3.6

Win Impact5.6

Composite 6.3/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time539ms−12ms

first ⅓ avg 551ms → last ⅓ avg 539ms

Headshot accuracy15.4%−0.5%

first ⅓ avg 15.9% → last ⅓ avg 15.4%

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 — inferno 13–4

13–2Biggest win — nuke

7Longest win streak

8–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 65% over 26mirageWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	26	17–9	65%	0.01
inferno	B	24	12–12	50%	0.03
anubis	B	20	10–10	50%	0.03
nuke	B	10	5–5	50%	0.02
cache	C	7	3–4	43%	0.00
mirage	D	5	0–5	0%	-0.01
dust2	—	4	3–1	75%	0.01
overpass	—	3	2–1	67%	0.02
boulder	—	1	0–1	0%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

969Matches

54%Win rate

1.23Avg K/D

91.3ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	188	57%	1.26	18.2
Inferno	160	56%	1.22	17.8
Ancient	146	61%	1.25	18.6
Mirage	92	48%	1.15	16.5
Overpass	63	62%	1.33	18.8
Nuke	31	35%	1.22	18.5
Cache	22	45%	1.17	17.2
Dust2	18	44%	1.16	16.0

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.

14.6%Headshot accuracy

39.5%Accuracy (enemy spotted)

42.8%Spray accuracy

74.9%Counter-strafing

8.1°Preaim

531msReaction time

37.3%T opening success

51.3%CT opening success

0.57Enemies flashed / flash

7.1%Flash assists

7.70HE damage / grenade

5.99Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5596% — below the 15% mark we flag
Aim Training →
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 37.3149% — 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 5 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
anubis	13–7	0.11	12%	27 Aug →
inferno	7–13	-0.02	14%	27 Aug →
ancient	13–6	-0.01	16%	27 Aug →
inferno	14–16	0.05	14%	20 Aug →
anubis	12–16	-0.02	14%	20 Aug →
mirage	15–15	-0.03	18%	19 Aug →
inferno	13–8	0.03	9%	19 Aug →
inferno	13–3	0.05	26%	19 Aug →
ancient	3–13	-0.05	14%	19 Aug →
nuke	8–13	-0.02	7%	17 Aug →
ancient	13–11	0.02	13%	17 Aug →
anubis	4–13	-0.05	19%	17 Aug →
inferno	13–8	0.03	16%	17 Aug →
ancient	13–7	-0.02	9%	16 Aug →
inferno	10–13	-0.03	21%	13 Aug →
cache	13–3	0.11	22%	13 Aug →
inferno	13–16	-0.04	11%	13 Aug →
dust2	13–8	0.05	12%	13 Aug →
anubis	15–19	0.04	17%	11 Aug →
ancient	13–10	0.03	12%	11 Aug →
nuke	13–9	0.10	13%	11 Aug →
ancient	11–13	0.01	9%	11 Aug →
inferno	13–4	0.12	12%	10 Aug →
nuke	13–2	-0.01	38%	10 Aug →
anubis	13–9	0.04	11%	10 Aug →
mirage	3–13	-0.03	13%	10 Aug →
ancient	9–13	-0.05	10%	9 Aug →
anubis	7–13	0.02	19%	9 Aug →
nuke	1–13	-0.03	12%	29 Jul →
ancient	13–11	0.05	15%	29 Jul →
inferno	13–4	0.03	25%	29 Jul →
nuke	8–13	-0.02	18%	28 Jul →
inferno	7–13	-0.00	20%	28 Jul →
ancient	6–13	-0.03	18%	28 Jul →
inferno	9–13	-0.02	16%	27 Jul →
ancient	13–11	0.06	16%	27 Jul →
cache	5–13	-0.01	14%	27 Jul →
ancient	7–13	0.00	14%	26 Jul →
anubis	8–13	0.03	11%	26 Jul →
inferno	13–7	0.08	24%	26 Jul →
anubis	8–13	0.00	12%	26 Jul →
ancient	13–5	0.02	25%	24 Jul →
dust2	8–13	0.02	16%	24 Jul →
anubis	13–5	0.07	13%	24 Jul →
nuke	13–11	-0.04	8%	24 Jul →
anubis	13–9	0.01	17%	24 Jul →
ancient	13–10	0.02	16%	24 Jul →
cache	4–13	-0.06	3%	23 Jul →
inferno	13–4	0.01	7%	23 Jul →
inferno	13–11	0.04	19%	23 Jul →
anubis	19–16	0.04	20%	19 Jul →
dust2	13–6	-0.04	13%	19 Jul →
ancient	13–6	0.02	12%	19 Jul →
ancient	13–7	0.04	18%	18 Jul →
inferno	13–7	0.01	15%	18 Jul →
anubis	6–13	0.03	17%	16 Jul →
ancient	13–11	0.05	13%	16 Jul →
inferno	10–13	0.03	11%	16 Jul →
inferno	10–13	-0.01	21%	14 Jul →
nuke	9–13	0.05	19%	14 Jul →
inferno	8–13	0.04	17%	14 Jul →
nuke	10–13	0.02	14%	13 Jul →
anubis	6–13	-0.01	10%	13 Jul →
ancient	13–7	0.01	21%	13 Jul →
boulder	11–13	0.09	15%	11 Jul →
ancient	13–8	0.08	23%	11 Jul →
anubis	13–9	0.05	13%	11 Jul →
inferno	11–13	0.02	13%	11 Jul →
ancient	13–11	-0.02	9%	11 Jul →
anubis	10–13	0.04	17%	11 Jul →
anubis	13–7	0.02	14%	7 Jul →
ancient	13–5	0.10	15%	7 Jul →
cache	16–13	0.00	12%	6 Jul →
cache	6–13	0.02	20%	5 Jul →
inferno	0–8	-0.07	14%	5 Jul →
nuke	13–8	0.08	23%	5 Jul →
anubis	13–7	0.08	8%	5 Jul →
mirage	8–13	-0.01	18%	5 Jul →
ancient	9–13	-0.00	23%	5 Jul →
anubis	13–9	0.04	27%	4 Jul →
mirage	15–15	0.00	12%	4 Jul →
overpass	13–2	0.04	16%	4 Jul →
anubis	16–19	-0.01	11%	4 Jul →
inferno	13–7	0.10	14%	4 Jul →
ancient	14–16	0.00	13%	4 Jul →
inferno	13–10	0.04	20%	2 Jul →
nuke	13–8	0.04	25%	2 Jul →
ancient	13–7	0.03	14%	2 Jul →
inferno	16–13	0.07	26%	2 Jul →
inferno	14–16	0.05	18%	26 Jun →
ancient	16–13	-0.04	12%	26 Jun →
anubis	13–11	-0.00	8%	26 Jun →
mirage	14–16	0.01	16%	26 Jun →
dust2	13–7	0.01	17%	26 Jun →
cache	5–10	-0.09	21%	26 Jun →
ancient	4–13	-0.02	14%	26 Jun →
cache	13–10	0.02	15%	24 Jun →
overpass	13–5	0.01	14%	24 Jun →
ancient	11–13	0.07	16%	24 Jun →
overpass	9–13	0.01	10%	23 Jun →