✧ — CS2 Stats

76561198065736746[U:1:105471018]✓ No bans

3,747Tracked matches50%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating19,633Purple band · top ~10% of ranked players (population est.)

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning48

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–47–10Last 10043%Win rateLLWWLTWWWT

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.4

Aggression6.1

Utility6.0

Positioning4.8

Opening Duels1.8

Clutch4.4

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 NiKo 94% playstyle similarity

Most alike: aim profile, 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 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

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 46% on CT to 28% 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

Aim9.4

Positioning4.8

Utility6.0

Mechanics7.4

Opening Duels2.0

Win Impact5.0

Composite 6.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time536ms−51ms

first ⅓ avg 587ms → last ⅓ avg 536ms

Headshot accuracy21.4%+2.7%

first ⅓ avg 18.7% → last ⅓ avg 21.4%

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

0.23Best rating — inferno 13–1

13–1Biggest win — inferno

3Longest win streak

L2Current streak

6–12In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	9–12	43%	0.02
dust2	D	16	4–12	25%	0.01
nuke	D	12	4–8	33%	0.03
cache	A	11	7–4	64%	0.01
ancient	A	9	5–4	56%	0.04
inferno	S	9	6–3	67%	0.05
anubis	A	7	4–3	57%	-0.01
office	D	7	2–5	29%	0.03
vertigo	—	4	0–4	0%	0.01
train	—	3	1–2	33%	0.04
overpass	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

179Matches

54%Win rate

1.17Avg K/D

79.8ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

28%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	57%	1.18	16.1
Dust2	32	62%	1.30	18.9
Inferno	26	50%	1.14	16.6
Vertigo	12	67%	1.18	18.3
Nuke	10	70%	1.14	16.5
Ancient	10	30%	0.94	14.8
Anubis	5	40%	0.96	14.2
Cache	3	67%	1.10	16.7

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.

20.9%Headshot accuracy

44.6%Accuracy (enemy spotted)

45.6%Spray accuracy

83.1%Counter-strafing

7.9°Preaim

525msReaction time

28.4%T opening success

46.1%CT opening success

0.63Enemies flashed / flash

6.4%Flash assists

8.98HE damage / grenade

6.89Flashes / 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 28.3652% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	2–13	-0.04	19%	29 Aug →
nuke	3–13	-0.06	44%	29 Aug →
anubis	13–5	0.02	22%	29 Aug →
office	13–7	-0.01	25%	26 Aug →
vertigo	9–13	0.10	14%	26 Aug →
dust2	12–12	0.05	21%	26 Aug →
ancient	13–9	0.09	16%	26 Aug →
mirage	16–14	-0.02	26%	25 Aug →
cache	13–7	0.01	13%	25 Aug →
mirage	15–15	-0.02	14%	25 Aug →
dust2	4–13	0.05	15%	25 Aug →
mirage	9–13	-0.07	46%	25 Aug →
inferno	13–6	0.01	22%	25 Aug →
nuke	6–13	0.06	19%	25 Aug →
dust2	13–3	0.03	16%	25 Aug →
ancient	13–2	0.08	26%	23 Aug →
nuke	13–11	-0.03	12%	23 Aug →
ancient	9–13	-0.01	11%	23 Aug →
office	8–13	0.02	11%	23 Aug →
mirage	13–7	0.07	20%	23 Aug →
nuke	8–13	0.10	18%	22 Aug →
dust2	9–13	0.00	17%	22 Aug →
dust2	13–2	-0.01	25%	20 Aug →
dust2	12–12	-0.02	12%	20 Aug →
mirage	13–7	0.05	32%	20 Aug →
office	12–12	0.06	20%	20 Aug →
mirage	4–13	-0.05	21%	20 Aug →
office	8–13	0.00	19%	18 Aug →
mirage	12–12	-0.00	41%	18 Aug →
cache	12–12	-0.02	16%	16 Aug →
vertigo	12–12	-0.04	22%	16 Aug →
inferno	13–1	0.23	22%	16 Aug →
anubis	12–12	0.01	29%	16 Aug →
ancient	13–9	0.12	20%	16 Aug →
cache	6–13	-0.01	7%	16 Aug →
mirage	13–6	0.07	15%	16 Aug →
anubis	13–11	-0.02	10%	16 Aug →
nuke	13–3	0.11	13%	16 Aug →
inferno	9–13	0.00	11%	16 Aug →
nuke	11–13	0.03	16%	15 Aug →
nuke	15–15	-0.06	14%	15 Aug →
anubis	9–13	-0.00	13%	14 Aug →
inferno	5–13	0.04	16%	14 Aug →
inferno	16–14	0.04	25%	14 Aug →
mirage	13–6	0.13	25%	14 Aug →
mirage	11–13	0.05	23%	14 Aug →
dust2	11–13	0.06	27%	13 Aug →
dust2	7–13	0.06	27%	13 Aug →
dust2	12–12	0.00	53%	13 Aug →
dust2	13–7	0.04	26%	12 Aug →
cache	9–13	-0.06	32%	12 Aug →
overpass	13–7	0.10	10%	12 Aug →
cache	13–9	-0.00	23%	12 Aug →
office	8–13	0.11	15%	12 Aug →
mirage	13–9	0.09	27%	12 Aug →
nuke	7–13	0.11	12%	12 Aug →
vertigo	11–13	-0.03	9%	11 Aug →
mirage	13–10	0.10	17%	11 Aug →
cache	13–11	-0.01	13%	10 Aug →
nuke	13–7	0.10	22%	10 Aug →
dust2	11–13	0.07	18%	10 Aug →
mirage	4–13	-0.03	11%	10 Aug →
cache	8–13	-0.00	12%	10 Aug →
nuke	10–13	0.04	8%	9 Aug →
mirage	13–10	0.02	23%	9 Aug →
cache	13–5	0.01	24%	9 Aug →
ancient	9–13	-0.06	9%	7 Aug →
dust2	9–13	-0.12	18%	7 Aug →
train	8–13	0.07	19%	6 Aug →
mirage	14–16	-0.02	20%	6 Aug →
ancient	13–3	0.11	8%	6 Aug →
train	13–11	0.02	22%	4 Aug →
cache	13–4	0.09	12%	4 Aug →
mirage	8–13	-0.01	31%	4 Aug →
mirage	11–13	0.07	41%	4 Aug →
inferno	13–8	0.14	27%	4 Aug →
ancient	2–13	0.03	21%	4 Aug →
ancient	10–13	0.02	16%	3 Aug →
mirage	13–7	0.06	29%	3 Aug →
dust2	11–13	0.03	19%	3 Aug →
cache	13–9	0.06	22%	3 Aug →
dust2	13–6	-0.02	40%	2 Aug →
train	11–13	0.02	18%	2 Aug →
vertigo	6–13	-0.00	4%	2 Aug →
inferno	14–16	-0.02	13%	2 Aug →
nuke	13–7	0.01	14%	2 Aug →
inferno	13–6	-0.02	31%	1 Aug →
anubis	13–4	-0.04	0%	1 Aug →
mirage	10–13	-0.06	11%	1 Aug →
cache	13–3	0.04	21%	31 Jul →
ancient	13–3	0.01	15%	31 Jul →
mirage	10–13	0.01	15%	31 Jul →
inferno	13–8	0.06	21%	31 Jul →
dust2	9–13	0.02	25%	31 Jul →
office	2–13	-0.06	11%	31 Jul →
nuke	2–13	-0.03	14%	31 Jul →
office	13–6	0.07	5%	31 Jul →
anubis	11–13	-0.03	7%	30 Jul →
anubis	13–10	-0.00	17%	30 Jul →
dust2	11–13	-0.02	30%	30 Jul →