. — CS2 Stats

76561198034404883[U:1:74139155]Steam profile ↗✓ No bans

1,012Tracked matches40%Win rate2020Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

FaceitLevel 7 · 1,284 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning53

Utility54

0–100 skill scores via Leetify.

Recent form

COLD52–47–1Last 10052%Win rateLWLWLLLLLW

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.

Aim7.1

Aggression5.1

Utility5.4

Positioning5.3

Opening Duels2.3

Clutch3.4

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 NiKo 90% playstyle similarity

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

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 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim7.1

Positioning5.3

Utility5.4

Mechanics7.4

Opening Duels2.8

Win Impact1.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time611ms−42ms

first ⅓ avg 653ms → last ⅓ avg 611ms

Headshot accuracy20.1%−2.3%

first ⅓ avg 22.4% → last ⅓ avg 20.1%

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 — dust2 13–7

13–1Biggest win — stronghold

8Longest win streak

12–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 80% over 10ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	23	16–7	70%	0.00
dust2	C	20	8–12	40%	-0.01
ancient	C	11	4–7	36%	-0.04
nuke	C	11	4–7	36%	0.00
inferno	A	11	6–5	55%	-0.01
anubis	S	10	8–2	80%	0.02
cache	A	7	4–3	57%	-0.02
overpass	—	4	1–3	25%	-0.01
vertigo	—	1	0–1	0%	-0.04
stronghold	—	1	1–0	100%	-0.01
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,318Matches

50%Win rate

1.07Avg K/D

81.3ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	141	48%	1.08	16.1
Dust2	94	48%	1.05	17.0
Ancient	79	57%	1.01	15.5
Anubis	77	51%	1.14	16.5
Nuke	47	43%	1.31	15.7
Inferno	43	42%	1.01	15.1
Cache	29	45%	1.05	16.0
Overpass	16	56%	1.06	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.

21.1%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.1%Spray accuracy

83.4%Counter-strafing

10.0°Preaim

622msReaction time

26.0%T opening success

52.5%CT opening success

0.58Enemies flashed / flash

8.1%Flash assists

7.76HE damage / grenade

7.39Flashes / 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 25.9664% — 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.

36% win rate across 11 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
dust2	6–13	-0.02	20%	24 Aug →
ancient	13–9	-0.03	21%	24 Aug →
vertigo	11–13	-0.04	15%	22 Aug →
anubis	13–10	0.08	22%	22 Aug →
nuke	16–19	0.00	22%	21 Aug →
nuke	11–13	-0.05	28%	19 Aug →
ancient	16–19	-0.02	20%	18 Aug →
nuke	11–13	-0.01	22%	17 Aug →
ancient	7–13	-0.06	20%	17 Aug →
mirage	13–11	0.04	38%	17 Aug →
anubis	8–13	-0.04	13%	15 Aug →
inferno	9–13	-0.06	29%	14 Aug →
nuke	8–13	0.02	22%	14 Aug →
ancient	10–13	-0.05	18%	13 Aug →
mirage	13–7	0.01	34%	13 Aug →
anubis	13–6	0.08	19%	12 Aug →
nuke	11–13	-0.00	18%	10 Aug →
dust2	13–11	-0.04	23%	9 Aug →
inferno	3–9	-0.04	16%	8 Aug →
dust2	6–13	-0.06	32%	8 Aug →
ancient	0–5	-0.10	0%	7 Aug →
mirage	12–1	-0.04	10%	6 Aug →
anubis	13–3	-0.06	7%	1 Aug →
mirage	10–13	0.05	28%	25 Jul →
dust2	4–13	-0.03	27%	22 Jul →
cache	13–8	-0.03	7%	22 Jul →
dust2	13–11	-0.00	17%	20 Jul →
mirage	13–8	-0.02	18%	13 Jul →
mirage	13–11	-0.01	26%	13 Jul →
cache	9–16	-0.05	17%	12 Jul →
mirage	10–13	0.01	14%	11 Jul →
dust2	9–13	0.00	17%	7 Jul →
dust2	17–19	-0.04	22%	6 Jul →
inferno	16–13	0.04	20%	3 Jul →
dust2	9–13	-0.03	18%	30 Jun →
anubis	13–7	0.07	19%	30 Jun →
mirage	13–11	0.08	22%	27 Jun →
inferno	4–13	-0.05	21%	25 Jun →
inferno	13–7	0.06	22%	25 Jun →
mirage	13–4	0.09	25%	24 Jun →
mirage	13–9	0.05	21%	8 Jun →
anubis	13–9	0.00	18%	3 Jun →
mirage	13–6	-0.08	22%	3 Jun →
overpass	9–13	-0.08	15%	2 Jun →
cache	11–13	-0.02	15%	1 Jun →
dust2	8–13	-0.04	10%	31 May →
mirage	11–13	0.07	20%	30 May →
mirage	13–10	-0.01	6%	29 May →
cache	13–2	-0.00	16%	19 May →
dust2	8–13	0.01	24%	14 May →
cache	3–13	-0.04	18%	12 May →
ancient	13–8	-0.08	26%	11 May →
cache	13–8	-0.02	22%	4 May →
cache	13–8	0.02	26%	4 May →
mirage	11–13	-0.02	28%	30 Apr →
nuke	13–2	0.01	37%	30 Apr →
stronghold	13–1	-0.01	40%	28 Apr →
train	1–7	-0.07	50%	23 Apr →
inferno	5–13	-0.06	10%	16 Apr →
ancient	6–13	-0.06	29%	15 Apr →
ancient	9–13	-0.04	34%	5 Apr →
dust2	13–9	0.02	28%	5 Apr →
dust2	3–13	-0.10	12%	4 Apr →
dust2	13–11	-0.00	27%	4 Apr →
mirage	13–6	0.01	17%	4 Apr →
nuke	11–13	-0.03	23%	2 Apr →
inferno	13–10	0.06	16%	2 Apr →
mirage	5–13	-0.08	35%	29 Mar →
nuke	13–3	-0.01	17%	28 Mar →
anubis	6–13	-0.06	18%	28 Mar →
inferno	7–13	-0.01	12%	27 Mar →
mirage	16–14	-0.08	21%	26 Mar →
anubis	13–5	-0.01	27%	25 Mar →
mirage	11–13	-0.04	16%	21 Mar →
dust2	15–15	0.01	25%	21 Mar →
mirage	12–4	-0.01	28%	20 Mar →
nuke	13–6	0.02	30%	18 Mar →
overpass	6–13	-0.06	23%	17 Mar →
ancient	13–11	-0.01	22%	16 Mar →
dust2	10–13	0.03	25%	16 Mar →
dust2	3–13	-0.06	15%	15 Mar →
ancient	9–13	0.02	27%	15 Mar →
mirage	13–11	0.03	30%	15 Mar →
inferno	13–11	-0.04	41%	14 Mar →
anubis	13–9	0.09	36%	14 Mar →
mirage	13–3	0.04	19%	14 Mar →
dust2	13–8	0.07	32%	12 Mar →
dust2	13–6	0.01	23%	11 Mar →
mirage	13–5	0.00	18%	11 Mar →
anubis	13–5	0.10	19%	10 Mar →
nuke	12–16	-0.01	16%	9 Mar →
inferno	13–11	0.01	18%	9 Mar →
inferno	13–9	-0.02	14%	9 Mar →
dust2	13–7	0.12	25%	9 Mar →
nuke	16–12	0.08	16%	9 Mar →
ancient	13–11	0.04	22%	9 Mar →
overpass	13–10	0.01	15%	8 Mar →
mirage	8–13	0.02	15%	8 Mar →
dust2	13–1	0.02	24%	8 Mar →
overpass	10–13	0.08	16%	7 Mar →