local — CS2 Stats

76561198145382584[U:1:185116856]✓ No bans

1,211Tracked matches44%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating22,628Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#4640 of 15918 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning52

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateWTWLWWLLLW

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.

Aim9.1

Aggression5.8

Utility5.1

Positioning5.2

Opening Duels1.5

Clutch4.4

Sharp aimerExcellent counter-strafing

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 92% 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 91 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 39 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.

Reaction time. 589ms 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

Aim9.1

Positioning5.2

Utility5.1

Mechanics9.2

Opening Duels1.5

Win Impact3.1

Composite 6.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time594ms−50ms

first ⅓ avg 644ms → last ⅓ avg 594ms

Headshot accuracy23.8%+1.5%

first ⅓ avg 22.2% → last ⅓ avg 23.8%

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 — mirage 13–4

13–1Biggest win — overpass

4Longest win streak

9–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 50% over 8ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	0.03
dust2	C	21	9–12	43%	0.01
anubis	C	12	5–7	42%	0.03
overpass	C	12	5–7	42%	-0.01
inferno	B	8	4–4	50%	-0.03
ancient	C	8	3–5	38%	0.02
nuke	C	7	3–4	43%	0.01
vertigo	C	5	2–3	40%	0.04
cache	—	4	2–2	50%	0.05
fachwerk	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

195Matches

58%Win rate

1.18Avg K/D

89.7ADR

51%Headshot %

Clutches & streaks

42%1v1 clutch win

15%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	59%	1.30	17.7
Anubis	20	65%	1.37	18.9
Ancient	17	59%	1.33	17.5
Inferno	9	67%	1.53	23.7
Dust2	7	57%	1.35	16.0
Nuke	6	83%	1.54	17.8
Train	2	100%	1.08	17.0
Vertigo	1	0%	0.79	11.0

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.

22.9%Headshot accuracy

41.1%Accuracy (enemy spotted)

43.9%Spray accuracy

91.5%Counter-strafing

9.5°Preaim

589msReaction time

33.5%T opening success

38.1%CT opening success

0.66Enemies flashed / flash

6.6%Flash assists

7.33HE damage / grenade

6.18Flashes / 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 33.5441% — 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.

38% win rate across 8 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
anubis	13–2	0.02	19%	24 Aug →
mirage	12–12	0.05	15%	10 Aug →
inferno	13–11	-0.00	24%	10 Aug →
overpass	6–13	-0.10	18%	10 Aug →
fachwerk	13–8	0.10	26%	3 Aug →
vertigo	13–5	0.09	17%	3 Aug →
cache	10–13	0.02	19%	3 Aug →
inferno	9–13	0.00	19%	3 Aug →
anubis	11–13	0.03	22%	3 Aug →
dust2	13–5	0.07	29%	1 Jul →
nuke	11–13	0.03	24%	29 Jun →
cache	13–11	0.05	29%	29 Jun →
cache	12–12	0.10	39%	29 Apr →
cache	13–3	0.03	28%	29 Apr →
dust2	13–9	-0.04	21%	1 Apr →
nuke	8–13	-0.05	19%	1 Apr →
nuke	16–14	0.04	21%	29 Mar →
anubis	15–15	0.07	33%	28 Mar →
dust2	13–6	0.09	15%	28 Mar →
dust2	6–13	-0.10	27%	27 Mar →
overpass	16–14	-0.02	28%	27 Mar →
ancient	13–8	0.00	15%	27 Mar →
overpass	11–13	-0.02	15%	27 Mar →
overpass	11–13	0.09	27%	26 Mar →
mirage	8–13	-0.06	16%	26 Mar →
anubis	11–13	0.05	21%	26 Mar →
mirage	9–13	0.03	26%	19 Mar →
mirage	7–13	0.02	10%	19 Mar →
vertigo	5–13	0.03	24%	18 Mar →
inferno	2–13	-0.08	40%	18 Mar →
mirage	13–4	0.15	28%	17 Mar →
mirage	4–13	-0.07	47%	15 Mar →
mirage	13–5	0.04	24%	15 Mar →
mirage	15–15	-0.02	18%	14 Mar →
anubis	9–13	0.03	20%	10 Mar →
dust2	13–7	0.01	22%	10 Mar →
dust2	13–8	0.05	28%	8 Mar →
ancient	13–5	0.03	13%	8 Mar →
mirage	4–13	-0.01	11%	8 Mar →
dust2	8–13	-0.01	18%	8 Mar →
dust2	8–13	0.04	24%	8 Mar →
nuke	8–13	-0.01	27%	7 Mar →
mirage	14–16	-0.01	34%	7 Mar →
dust2	4–13	-0.02	12%	7 Mar →
ancient	5–13	0.04	26%	7 Mar →
overpass	7–13	-0.03	29%	6 Mar →
anubis	6–13	-0.01	14%	16 Feb →
overpass	5–0	0.01	18%	16 Feb →
vertigo	13–5	0.05	28%	16 Feb →
mirage	12–12	0.06	16%	16 Feb →
mirage	13–11	0.03	20%	10 Feb →
dust2	13–8	0.03	30%	10 Feb →
mirage	13–5	0.03	18%	7 Feb →
dust2	13–3	0.07	19%	7 Feb →
dust2	12–12	0.11	25%	7 Feb →
dust2	10–13	-0.00	20%	7 Feb →
ancient	9–13	0.11	14%	6 Feb →
inferno	13–9	-0.03	14%	6 Feb →
anubis	13–9	0.03	19%	6 Feb →
overpass	3–13	-0.07	33%	6 Feb →
mirage	10–13	0.05	17%	6 Feb →
dust2	7–13	-0.04	33%	6 Feb →
inferno	5–13	0.03	18%	3 Feb →
dust2	10–13	0.01	29%	2 Feb →
nuke	11–13	-0.02	36%	2 Feb →
mirage	9–13	0.01	14%	2 Feb →
overpass	13–11	-0.01	13%	2 Feb →
mirage	13–7	0.10	15%	2 Feb →
nuke	13–2	0.06	24%	2 Feb →
dust2	11–13	-0.04	15%	1 Feb →
ancient	9–13	0.03	13%	1 Feb →
anubis	13–5	0.14	20%	1 Feb →
mirage	13–5	0.09	18%	1 Feb →
overpass	9–13	0.04	26%	31 Jan →
anubis	11–13	0.04	24%	30 Jan →
inferno	13–8	-0.06	21%	30 Jan →
vertigo	5–13	0.00	23%	30 Jan →
dust2	13–8	0.02	15%	30 Jan →
overpass	6–13	-0.01	21%	30 Jan →
mirage	5–13	-0.01	34%	30 Jan →
mirage	7–13	0.05	20%	28 Jan →
mirage	16–12	-0.02	10%	28 Jan →
nuke	13–11	0.02	35%	28 Jan →
dust2	13–10	0.03	18%	28 Jan →
dust2	10–13	-0.04	23%	27 Jan →
ancient	7–13	0.03	38%	27 Jan →
vertigo	5–13	0.00	28%	26 Jan →
mirage	13–11	-0.01	31%	26 Jan →
ancient	4–13	-0.00	15%	26 Jan →
anubis	10–13	0.01	24%	26 Jan →
dust2	6–13	-0.03	33%	26 Jan →
anubis	13–11	0.05	28%	25 Jan →
inferno	13–4	-0.06	21%	25 Jan →
overpass	13–4	-0.02	13%	25 Jan →
inferno	4–13	-0.08	23%	25 Jan →
mirage	13–9	0.10	21%	25 Jan →
anubis	13–8	-0.05	18%	24 Jan →
ancient	13–4	-0.04	26%	24 Jan →
overpass	13–1	0.06	18%	24 Jan →
dust2	11–13	0.02	21%	24 Jan →