LegendaryGamer — CS2 Stats

76561198418021798[U:1:457756070]Steam profile ↗✓ No bans

1,006Tracked matches61%Win rate2023Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating15,394Purple band · top ~26.8% of ranked players (population est.)

CSDB Leaderboard#11249 of 17812 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning58

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLLLWWWWLW

Last 10 vs previous 10: +0pp win rate · -0.07 avg rating

Player DNA

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

Aim6.2

Aggression7.9

Utility2.1

Positioning5.8

Opening Duels4.5

Clutch5.0

Limited utility dependence

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 ropz 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 629ms 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

Aim6.2

Positioning5.8

Utility2.1

Mechanics7.1

Opening Duels4.5

Win Impact8.6

Composite 5.7/10 (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 rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time638ms+3ms

first ⅓ avg 635ms → last ⅓ avg 638ms

Headshot accuracy21.5%+1.4%

first ⅓ avg 20.1% → last ⅓ avg 21.5%

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 — cache 13–5

13–1Biggest win — mirage

4Longest win streak

L4Current streak

11–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 55% over 29infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	16–13	55%	-0.02
dust2	B	26	13–13	50%	-0.01
inferno	D	14	4–10	29%	-0.02
anubis	B	10	5–5	50%	0.02
cache	B	8	4–4	50%	0.01
nuke	D	6	2–4	33%	-0.02
ancient	—	4	3–1	75%	-0.00
overpass	—	2	0–2	0%	-0.06
vertigo	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches

45%Win rate

1.09Avg K/D

92.0ADR

53%Headshot %

Clutches & streaks

45%1v1 clutch win

14%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	7	29%	1.16	16.9
Dust2	5	20%	0.85	13.6
Mirage	4	75%	1.34	22.0
Inferno	2	50%	1.21	15.0
Nuke	2	100%	0.79	12.0

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.

20.5%Headshot accuracy

29.4%Accuracy (enemy spotted)

29.4%Spray accuracy

82.1%Counter-strafing

8.2°Preaim

629msReaction time

42.1%T opening success

54.1%CT opening success

0.60Enemies flashed / flash

2.7%Flash assists

7.47HE damage / grenade

2.45Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.4507 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–9	-0.15	22%	25 Aug →
nuke	1–9	-0.23	43%	24 Aug →
vertigo	4–9	-0.06	27%	24 Aug →
ancient	6–13	-0.03	22%	15 Aug →
dust2	13–3	-0.02	28%	15 Aug →
mirage	13–11	-0.04	17%	13 Aug →
mirage	13–11	0.02	10%	13 Aug →
mirage	13–1	-0.06	38%	12 Aug →
dust2	2–11	-0.07	17%	12 Aug →
mirage	13–8	-0.03	17%	12 Aug →
mirage	16–12	-0.00	10%	11 Aug →
dust2	13–10	-0.01	16%	11 Aug →
mirage	13–4	0.10	31%	11 Aug →
anubis	3–7	0.09	14%	11 Aug →
inferno	4–13	0.01	21%	10 Aug →
mirage	15–15	0.03	19%	10 Aug →
mirage	13–10	0.02	22%	10 Aug →
dust2	11–13	-0.07	21%	9 Aug →
mirage	13–6	-0.05	11%	9 Aug →
mirage	10–13	-0.02	21%	9 Aug →
dust2	15–15	-0.01	24%	8 Aug →
inferno	6–13	-0.06	23%	8 Aug →
cache	13–5	-0.02	15%	8 Aug →
dust2	13–9	0.00	27%	8 Aug →
anubis	3–13	-0.02	25%	8 Aug →
dust2	13–11	0.05	35%	8 Aug →
inferno	4–13	0.04	12%	7 Aug →
nuke	11–13	0.01	28%	7 Aug →
inferno	6–13	-0.05	26%	3 Aug →
dust2	13–7	0.03	20%	2 Aug →
ancient	13–6	0.03	13%	1 Aug →
anubis	13–10	-0.04	9%	1 Aug →
nuke	13–10	0.02	25%	1 Aug →
inferno	10–13	-0.09	14%	1 Aug →
dust2	13–10	-0.03	16%	1 Aug →
mirage	13–9	0.03	14%	31 Jul →
mirage	11–13	-0.05	25%	31 Jul →
dust2	13–7	-0.05	12%	31 Jul →
nuke	6–13	-0.06	23%	30 Jul →
anubis	13–10	-0.02	14%	30 Jul →
mirage	16–12	0.01	21%	30 Jul →
anubis	13–9	0.03	11%	30 Jul →
cache	13–9	0.00	17%	29 Jul →
inferno	3–9	-0.09	40%	29 Jul →
overpass	2–9	-0.10	17%	28 Jul →
dust2	6–13	-0.03	14%	27 Jul →
dust2	11–13	-0.06	10%	27 Jul →
mirage	6–13	-0.02	17%	27 Jul →
dust2	13–9	0.02	36%	27 Jul →
cache	13–5	0.01	7%	27 Jul →
dust2	7–13	-0.01	11%	27 Jul →
mirage	6–13	-0.06	19%	26 Jul →
anubis	9–13	0.05	5%	26 Jul →
mirage	6–13	0.08	14%	26 Jul →
mirage	13–2	0.02	20%	26 Jul →
inferno	10–13	-0.05	16%	24 Jul →
ancient	13–6	-0.03	13%	24 Jul →
cache	7–13	-0.06	29%	24 Jul →
anubis	13–9	-0.02	21%	24 Jul →
dust2	6–13	-0.04	19%	24 Jul →
mirage	13–3	-0.00	21%	24 Jul →
anubis	5–13	-0.03	9%	24 Jul →
mirage	13–10	-0.07	15%	24 Jul →
dust2	11–13	0.01	30%	24 Jul →
mirage	13–11	0.02	28%	24 Jul →
anubis	11–13	0.01	18%	24 Jul →
cache	6–13	-0.05	35%	24 Jul →
dust2	16–14	0.06	22%	23 Jul →
inferno	13–7	0.01	34%	23 Jul →
dust2	9–13	0.04	21%	23 Jul →
mirage	16–14	-0.05	17%	22 Jul →
dust2	13–5	-0.01	31%	22 Jul →
inferno	13–9	0.05	26%	18 Jul →
mirage	10–13	0.00	24%	18 Jul →
mirage	16–14	-0.08	6%	17 Jul →
mirage	6–13	-0.04	24%	17 Jul →
cache	10–13	0.06	27%	17 Jul →
dust2	13–9	0.09	26%	17 Jul →
mirage	9–13	-0.06	19%	17 Jul →
anubis	13–6	0.11	11%	17 Jul →
dust2	5–13	0.06	24%	17 Jul →
inferno	13–4	0.00	14%	16 Jul →
dust2	15–15	-0.01	10%	16 Jul →
nuke	9–7	0.07	27%	15 Jul →
mirage	0–13	-0.08	10%	15 Jul →
inferno	9–13	0.01	21%	15 Jul →
dust2	13–11	-0.03	17%	15 Jul →
mirage	3–13	-0.07	21%	15 Jul →
overpass	4–9	-0.02	18%	14 Jul →
cache	12–12	-0.05	19%	14 Jul →
nuke	6–9	0.04	10%	13 Jul →
ancient	13–8	0.02	24%	13 Jul →
dust2	7–13	0.00	24%	13 Jul →
inferno	9–13	0.02	25%	13 Jul →
mirage	9–13	0.01	17%	13 Jul →
dust2	16–14	-0.02	11%	13 Jul →
dust2	4–13	-0.04	24%	13 Jul →
cache	13–5	0.15	19%	13 Jul →
inferno	13–11	-0.01	25%	13 Jul →
mirage	7–13	-0.00	16%	13 Jul →