𝔏𝔢𝔞𝔉 — CS2 Stats

US76561198838504499[U:1:878238771]Steam profile ↗✓ No bans

980Tracked matches65%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating23,307Top 50% of 819 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#4520 of 18510 tracked

FaceitLevel 7 · 1,459 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning59

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54–38–8Last 10054%Win rateWLWWWWWLLW

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.

Aim8.7

Aggression8.7

Utility5.5

Positioning5.9

Opening Duels3.0

Clutch3.0

Sharp aimerStrong 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 b1t 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 33% 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

Positioning5.9

Utility5.5

Mechanics7.1

Opening Duels3.0

Win Impact10.0

Composite 7.1/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time493ms−72ms

first ⅓ avg 565ms → last ⅓ avg 493ms

Headshot accuracy18.6%−2.6%

first ⅓ avg 21.1% → last ⅓ avg 18.6%

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

0.23Best rating — dust2 13–2

13–2Biggest win — dust2

7Longest win streak

7–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 67% over 18mirageWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	20	7–13	35%	0.02
cache	S	18	12–6	67%	0.03
dust2	B	17	9–8	53%	0.04
ancient	A	16	10–6	63%	0.04
inferno	A	11	7–4	64%	0.04
anubis	C	10	4–6	40%	0.04
nuke	A	7	4–3	57%	0.04
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

136Matches

58%Win rate

1.27Avg K/D

85.8ADR

38%Headshot %

Clutches & streaks

35%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	69%	1.42	20.1
Inferno	11	64%	1.28	19.0
Vertigo	10	60%	1.20	16.3
Ancient	8	75%	1.39	17.9
Dust2	7	57%	1.30	21.7
Nuke	5	60%	1.22	19.4
Anubis	5	20%	1.24	15.2
Overpass	2	100%	2.97	15.0

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.

17.1%Headshot accuracy

36.4%Accuracy (enemy spotted)

46.1%Spray accuracy

81.7%Counter-strafing

8.5°Preaim

495msReaction time

32.9%T opening success

50.9%CT opening success

0.55Enemies flashed / flash

5.7%Flash assists

6.56HE damage / grenade

12.28Flashes / 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 32.8638% — 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.

35% win rate across 20 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
cache	13–7	-0.01	14%	26 Aug →
ancient	8–13	0.01	25%	26 Aug →
dust2	13–2	0.03	26%	25 Aug →
inferno	13–5	0.11	16%	25 Aug →
ancient	13–3	0.02	22%	25 Aug →
mirage	13–8	-0.06	18%	25 Aug →
cache	13–8	0.06	18%	25 Aug →
cache	7–13	-0.06	22%	24 Aug →
ancient	0–5	0.06	29%	24 Aug →
inferno	13–5	0.05	11%	24 Aug →
dust2	13–10	0.03	16%	24 Aug →
mirage	12–12	0.03	15%	24 Aug →
mirage	5–13	-0.11	18%	24 Aug →
inferno	13–7	0.06	23%	24 Aug →
dust2	13–8	0.06	23%	23 Aug →
ancient	13–8	0.07	17%	23 Aug →
mirage	7–0	0.16	16%	23 Aug →
inferno	6–2	0.03	33%	23 Aug →
cache	13–11	0.01	12%	23 Aug →
anubis	13–3	0.02	19%	23 Aug →
dust2	8–13	0.03	14%	23 Aug →
mirage	12–12	-0.02	14%	21 Aug →
anubis	2–13	-0.01	20%	21 Aug →
anubis	12–12	-0.02	13%	21 Aug →
dust2	8–13	0.01	18%	20 Aug →
ancient	11–13	0.02	12%	19 Aug →
nuke	12–12	0.01	10%	12 Aug →
mirage	9–13	0.01	14%	12 Aug →
nuke	13–3	0.16	11%	12 Aug →
ancient	13–3	0.11	20%	11 Aug →
dust2	6–13	0.07	36%	11 Aug →
anubis	13–11	0.05	17%	11 Aug →
inferno	4–13	0.06	21%	11 Aug →
inferno	13–3	0.01	29%	10 Aug →
anubis	11–13	0.01	32%	10 Aug →
dust2	13–4	0.09	23%	10 Aug →
dust2	5–13	0.05	31%	9 Aug →
cache	13–11	0.00	38%	9 Aug →
mirage	13–6	0.01	23%	9 Aug →
inferno	13–2	0.02	16%	9 Aug →
dust2	6–13	-0.04	18%	9 Aug →
ancient	13–11	0.00	22%	9 Aug →
mirage	13–11	0.02	21%	8 Aug →
cache	13–9	0.02	11%	8 Aug →
nuke	16–13	0.06	24%	8 Aug →
dust2	10–13	-0.07	19%	7 Aug →
anubis	13–7	0.16	21%	7 Aug →
mirage	13–3	0.03	13%	7 Aug →
cache	13–8	0.01	16%	5 Aug →
nuke	9–13	0.01	20%	5 Aug →
mirage	7–13	0.03	8%	5 Aug →
dust2	1–13	-0.05	17%	5 Aug →
nuke	13–8	0.03	8%	5 Aug →
ancient	13–6	0.00	18%	4 Aug →
dust2	9–13	-0.00	17%	4 Aug →
mirage	4–13	-0.04	18%	4 Aug →
cache	8–13	-0.04	11%	3 Aug →
mirage	13–4	0.06	28%	3 Aug →
inferno	16–13	0.08	21%	3 Aug →
anubis	11–13	0.07	13%	2 Aug →
mirage	9–13	0.02	18%	2 Aug →
ancient	16–14	0.01	14%	2 Aug →
nuke	13–8	0.05	29%	2 Aug →
cache	8–13	0.02	17%	2 Aug →
cache	16–14	0.01	19%	31 Jul →
dust2	13–8	0.16	29%	31 Jul →
cache	13–16	0.10	18%	31 Jul →
mirage	13–9	0.05	12%	31 Jul →
ancient	13–6	0.08	32%	29 Jul →
dust2	13–2	0.23	20%	29 Jul →
ancient	13–4	0.10	32%	29 Jul →
nuke	13–16	-0.04	15%	29 Jul →
anubis	8–13	-0.02	8%	29 Jul →
cache	13–9	0.03	14%	28 Jul →
mirage	8–13	-0.03	5%	28 Jul →
ancient	9–13	0.04	14%	28 Jul →
mirage	10–13	-0.01	17%	27 Jul →
cache	11–13	0.04	27%	27 Jul →
cache	5–0	0.04	22%	27 Jul →
cache	13–5	0.02	23%	25 Jul →
mirage	6–13	-0.03	23%	25 Jul →
inferno	6–13	-0.04	17%	25 Jul →
ancient	13–5	0.04	19%	25 Jul →
dust2	13–4	0.06	14%	23 Jul →
cache	13–4	0.10	36%	22 Jul →
cache	14–16	0.08	23%	22 Jul →
mirage	6–13	0.03	20%	20 Jul →
cache	13–10	0.04	24%	20 Jul →
mirage	8–13	0.05	25%	18 Jul →
ancient	12–12	-0.02	16%	21 Apr →
overpass	13–4	0.06	11%	21 Apr →
mirage	12–12	0.11	20%	13 Apr →
inferno	12–12	0.02	35%	13 Apr →
ancient	13–5	0.05	14%	12 Apr →
anubis	12–12	0.11	30%	12 Apr →
dust2	13–8	0.01	17%	24 Mar →
ancient	3–4	0.03	40%	17 Mar →
anubis	13–10	0.02	24%	17 Mar →
inferno	4–13	-0.02	23%	16 Mar →
dust2	13–9	0.10	24%	16 Mar →