PROFE! — CS2 Stats

76561198282814124[U:1:322548396]Steam profile ↗✓ No bans

1,757Tracked matches43%Win rate2022Tracked since

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning55

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWWLWLWWL

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

Player DNA

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

Aim7.5

Aggression8.5

Utility6.4

Positioning5.5

Opening Duels3.9

Clutch1.6

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 jL 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 57% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim7.5

Positioning5.5

Utility6.4

Mechanics7.4

Opening Duels3.9

Win Impact2.8

Composite 6.1/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time594ms−23ms

first ⅓ avg 617ms → last ⅓ avg 594ms

Headshot accuracy19.7%−1.5%

first ⅓ avg 21.2% → last ⅓ avg 19.7%

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

0.15Best rating — inferno 13–5

13–1Biggest win — mirage

5Longest win streak

L2Current streak

11–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 89% over 9mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	17–24	41%	0.01
inferno	B	24	13–11	54%	0.01
ancient	S	9	8–1	89%	0.01
anubis	C	8	3–5	38%	-0.01
mirage	D	6	1–5	17%	-0.01
cache	C	5	2–3	40%	-0.06
overpass	S	5	4–1	80%	0.00
vertigo	—	1	0–1	0%	0.02
nuke	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

251Matches

52%Win rate

1.10Avg K/D

86.8ADR

50%Headshot %

Clutches & streaks

28%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	68	50%	1.06	16.1
Inferno	58	59%	1.23	17.4
Ancient	40	48%	1.06	16.5
Anubis	31	61%	1.22	17.6
Mirage	24	46%	0.97	15.8
Cache	19	53%	1.02	18.0
Nuke	4	25%	0.87	16.0
Vertigo	3	33%	1.05	24.3

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.

19.4%Headshot accuracy

35.1%Accuracy (enemy spotted)

38.5%Spray accuracy

83.1%Counter-strafing

10.0°Preaim

583msReaction time

34.4%T opening success

56.9%CT opening success

0.60Enemies flashed / flash

10.9%Flash assists

10.64HE damage / grenade

9.01Flashes / 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 34.4352% — 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.

17% 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
inferno	6–13	0.02	12%	22 Aug →
vertigo	19–22	0.02	19%	22 Aug →
inferno	13–7	0.04	14%	22 Aug →
inferno	13–11	-0.02	26%	21 Aug →
mirage	5–13	-0.00	15%	10 Aug →
ancient	13–9	0.03	28%	10 Aug →
inferno	14–16	0.00	14%	8 Aug →
dust2	13–10	-0.00	23%	2 Aug →
mirage	13–1	-0.01	10%	1 Aug →
anubis	4–13	-0.05	11%	30 Jul →
anubis	13–7	0.03	16%	30 Jul →
dust2	8–13	-0.04	19%	29 Jul →
anubis	8–13	-0.04	16%	26 Jul →
inferno	13–9	0.02	26%	26 Jul →
ancient	13–11	0.03	14%	26 Jul →
ancient	13–8	0.04	20%	23 Jul →
dust2	13–4	0.06	37%	23 Jul →
dust2	13–9	-0.03	19%	13 Jul →
anubis	7–13	-0.01	17%	8 Jul →
inferno	10–13	-0.00	11%	6 Jul →
dust2	7–13	0.02	13%	2 Jul →
dust2	11–13	-0.05	27%	30 Jun →
mirage	5–13	0.02	30%	30 Jun →
mirage	5–13	-0.06	20%	25 Jun →
dust2	7–13	-0.06	27%	14 Jun →
anubis	16–12	0.04	14%	14 Jun →
anubis	9–13	0.04	33%	13 Jun →
mirage	7–13	0.04	12%	4 Jun →
inferno	10–13	0.04	13%	31 May →
inferno	13–11	-0.05	26%	29 May →
dust2	13–5	0.12	23%	24 May →
cache	13–7	-0.06	30%	11 May →
dust2	3–13	-0.02	14%	9 May →
dust2	4–13	-0.02	34%	3 May →
dust2	15–15	0.01	24%	3 May →
inferno	13–5	0.15	19%	3 May →
dust2	13–5	-0.02	20%	1 May →
dust2	9–13	0.02	32%	1 May →
cache	9–13	-0.05	19%	1 May →
cache	9–13	-0.10	21%	30 Apr →
cache	13–5	0.00	27%	30 Apr →
cache	2–13	-0.08	14%	29 Apr →
dust2	3–13	-0.02	19%	28 Apr →
dust2	13–10	-0.03	15%	23 Apr →
dust2	8–13	0.02	17%	23 Apr →
dust2	3–13	-0.08	19%	21 Apr →
overpass	6–3	-0.05	8%	18 Apr →
dust2	10–13	0.01	16%	18 Apr →
inferno	9–13	0.04	22%	18 Apr →
dust2	11–13	0.10	13%	17 Apr →
anubis	11–13	-0.01	18%	17 Apr →
overpass	13–4	0.07	32%	17 Apr →
ancient	13–10	-0.01	17%	17 Apr →
dust2	15–15	0.02	30%	16 Apr →
inferno	13–10	-0.01	19%	16 Apr →
inferno	10–13	-0.01	13%	15 Apr →
anubis	13–4	-0.04	6%	15 Apr →
inferno	13–7	-0.04	24%	13 Apr →
inferno	11–13	0.00	24%	12 Apr →
inferno	8–13	-0.07	9%	12 Apr →
dust2	7–13	-0.02	15%	11 Apr →
dust2	13–10	-0.01	17%	11 Apr →
inferno	13–7	0.03	20%	10 Apr →
ancient	13–11	0.05	11%	10 Apr →
dust2	13–11	0.03	19%	9 Apr →
dust2	13–11	0.06	17%	9 Apr →
dust2	11–13	0.00	17%	6 Apr →
inferno	11–13	-0.02	23%	6 Apr →
dust2	6–13	0.03	25%	6 Apr →
overpass	13–10	-0.02	15%	6 Apr →
dust2	13–11	0.09	27%	6 Apr →
overpass	2–13	0.01	28%	6 Apr →
inferno	6–13	0.03	30%	6 Apr →
dust2	13–11	0.03	12%	6 Apr →
ancient	13–7	0.01	24%	6 Apr →
dust2	9–13	0.02	23%	6 Apr →
dust2	13–11	0.01	14%	5 Apr →
dust2	13–11	0.05	21%	5 Apr →
ancient	15–15	-0.01	16%	5 Apr →
dust2	7–13	-0.02	19%	5 Apr →
ancient	16–13	-0.03	14%	5 Apr →
dust2	13–9	-0.04	9%	5 Apr →
inferno	13–2	0.00	15%	5 Apr →
dust2	10–13	0.01	23%	4 Apr →
dust2	11–13	0.02	25%	4 Apr →
overpass	13–4	-0.01	19%	4 Apr →
inferno	16–14	-0.00	22%	4 Apr →
ancient	13–9	0.01	17%	4 Apr →
dust2	13–10	-0.02	22%	4 Apr →
inferno	13–5	0.03	12%	4 Apr →
dust2	11–13	0.02	19%	4 Apr →
dust2	10–13	0.06	31%	4 Apr →
dust2	13–6	0.13	21%	4 Apr →
inferno	13–5	-0.03	18%	4 Apr →
dust2	9–13	-0.01	23%	4 Apr →
mirage	5–13	-0.02	27%	4 Apr →
nuke	13–8	0.02	30%	4 Apr →
dust2	13–4	0.06	22%	4 Apr →
inferno	1–13	-0.04	27%	4 Apr →
inferno	13–7	0.06	23%	4 Apr →