-RyaN- — CS2 Stats

LB76561198131774160[U:1:171508432]Steam profile ↗✓ No bans

471Tracked matches50%Win rate2020Tracked since

2,000Hours in CS

CSDB Rating5.5 SolidAll-Rounder

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim66

Positioning52

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLLWWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −0.6pp headshot accuracy · −72ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 22%
Avg reaction 603ms

Last 10

6–4 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 589ms

Last 20

10–10 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 626ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.6

Utility4.7

Positioning5.2

Opening Duels3.7

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 610ms 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

Aim6.6

Positioning5.2

Utility4.7

Mechanics6.3

Opening Duels3.3

Win Impact5.0

Composite 5.5/10 (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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time602ms−26ms

first ⅓ avg 629ms → last ⅓ avg 602ms

Headshot accuracy21.4%−1.1%

first ⅓ avg 22.5% → 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.

Personal bests

0.19Best match rating · 13–6 · dust2, 24 Apr →

58%Best headshot accuracy · 7–13 · cache, 14 May →

359msFastest reaction time · 8–13 · mirage, 16 Jun →

13–2Biggest win · dust2, 2 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L3Current streak

7–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 52% over 75mirageWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	75	39–36	52%	-0.00
mirage	D	17	5–12	29%	-0.02
cache	C	5	2–3	40%	-0.01
nuke	—	3	3–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,453Lifetime kills

1.05K/D · Top 50% of tracked players

4,819Matches

45.3%Match win rate · Top 50% of tracked players

39.2%Headshot %

15.9%Shot accuracy · Top 25% of tracked players

11,116MVPs

2,000Hours (in match)

4,089Bombs planted

1,077Bombs defused

Most-used weapons

AK-4728,464

M4A4 / M4A1-S12,395

AWP9,317

Desert Eagle7,813

P2000 / USP-S6,103

SSG 084,101

Glock-182,776

SG 5532,618

AUG2,222

P901,657

Lifetime map wins

10,498dust2

2,766inferno

1,987train

1,777nuke

562dust

405vertigo

168cbble

146office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

457Matches

54%Win rate

0.99Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

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.

21.5%Headshot accuracy

32.1%Accuracy (enemy spotted)

32.5%Spray accuracy

78.1%Counter-strafing

8.9°Preaim

610msReaction time

42.1%T opening success

44.3%CT opening success

0.52Enemies flashed / flash

4.2%Flash assists

6.64HE damage / grenade

12.15Flashes / match

Recommended for you

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.

29% win rate across 17 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
mirage	8–13	-0.10	26%	7 Aug →
cache	9–13	-0.05	23%	6 Aug →
dust2	3–13	-0.04	18%	6 Aug →
cache	13–11	-0.00	27%	30 Jul →
dust2	13–11	0.02	18%	16 Jun →
cache	13–4	-0.00	33%	16 Jun →
dust2	13–11	0.03	13%	16 Jun →
mirage	8–13	-0.06	17%	16 Jun →
dust2	13–9	0.03	20%	16 Jun →
dust2	13–5	-0.04	20%	16 Jun →
dust2	8–13	-0.03	7%	2 Jun →
dust2	11–13	-0.00	38%	2 Jun →
dust2	6–13	0.01	44%	2 Jun →
dust2	5–13	-0.02	18%	2 Jun →
dust2	13–2	0.04	19%	2 Jun →
dust2	7–13	-0.03	20%	1 Jun →
mirage	8–13	-0.02	11%	19 May →
nuke	13–5	0.05	16%	19 May →
dust2	13–7	0.07	16%	18 May →
mirage	13–7	0.06	31%	14 May →
cache	7–13	0.02	58%	14 May →
dust2	3–13	-0.01	26%	6 May →
mirage	13–11	0.01	17%	6 May →
cache	5–13	-0.03	11%	6 May →
dust2	13–6	0.06	15%	6 May →
dust2	11–13	-0.06	16%	6 May →
nuke	13–6	-0.06	13%	27 Apr →
dust2	13–10	0.01	18%	27 Apr →
dust2	4–13	-0.08	16%	27 Apr →
nuke	13–2	0.08	19%	27 Apr →
mirage	6–13	0.00	16%	27 Apr →
dust2	7–13	-0.02	17%	24 Apr →
dust2	13–6	0.19	28%	24 Apr →
dust2	10–13	-0.03	38%	24 Apr →
mirage	8–13	-0.02	12%	23 Apr →
mirage	7–13	0.10	25%	23 Apr →
dust2	10–13	0.00	21%	23 Apr →
dust2	11–13	-0.02	23%	21 Apr →
dust2	13–8	0.04	12%	21 Apr →
mirage	13–5	-0.01	10%	21 Apr →
dust2	13–10	0.00	20%	21 Apr →
dust2	13–8	-0.04	19%	21 Apr →
dust2	13–10	-0.00	32%	16 Apr →
mirage	9–13	-0.02	12%	16 Apr →
dust2	13–6	-0.01	26%	16 Apr →
dust2	12–12	-0.00	26%	15 Apr →
dust2	1–13	0.02	15%	15 Apr →
dust2	13–5	0.07	30%	12 Apr →
dust2	13–8	0.00	20%	12 Apr →
dust2	13–6	-0.01	28%	12 Apr →
dust2	9–13	0.02	16%	12 Apr →
dust2	13–4	0.03	27%	12 Apr →
dust2	13–10	0.03	26%	12 Apr →
mirage	4–13	-0.06	23%	7 Apr →
dust2	13–10	-0.05	28%	7 Apr →
dust2	13–7	0.03	27%	7 Apr →
dust2	13–11	-0.02	14%	7 Apr →
dust2	12–12	-0.03	26%	7 Apr →
dust2	2–13	-0.10	30%	7 Apr →
dust2	6–13	-0.07	28%	7 Apr →
dust2	7–13	-0.03	48%	7 Apr →
dust2	13–8	0.04	17%	6 Apr →
dust2	13–9	-0.02	18%	6 Apr →
dust2	13–10	0.17	23%	6 Apr →
dust2	13–8	0.03	29%	1 Apr →
dust2	7–13	0.04	16%	1 Apr →
mirage	11–13	-0.04	21%	1 Apr →
dust2	12–12	-0.06	21%	1 Apr →
dust2	4–13	-0.01	31%	1 Apr →
dust2	13–7	-0.04	35%	30 Mar →
mirage	13–9	-0.01	17%	30 Mar →
dust2	13–9	-0.04	11%	29 Mar →
dust2	7–13	0.02	10%	29 Mar →
mirage	7–13	-0.08	6%	29 Mar →
dust2	10–13	-0.04	12%	29 Mar →
dust2	5–13	-0.02	21%	27 Mar →
dust2	6–13	-0.06	15%	27 Mar →
dust2	6–13	0.08	9%	27 Mar →
dust2	10–13	0.00	21%	25 Mar →
mirage	13–9	-0.04	43%	25 Mar →
dust2	6–13	-0.05	17%	25 Mar →
dust2	13–2	-0.00	20%	24 Mar →
dust2	13–11	-0.00	16%	24 Mar →
dust2	13–11	-0.03	16%	24 Mar →
dust2	13–6	0.02	17%	24 Mar →
dust2	10–13	0.05	28%	24 Mar →
dust2	10–13	0.01	25%	24 Mar →
dust2	4–13	-0.06	20%	24 Mar →
dust2	13–6	-0.06	38%	24 Mar →
dust2	13–6	-0.03	33%	24 Mar →
dust2	13–3	-0.00	26%	23 Mar →
dust2	10–13	-0.01	22%	23 Mar →
dust2	13–8	0.02	27%	20 Mar →
mirage	9–13	-0.04	28%	20 Mar →
dust2	12–12	-0.01	19%	20 Mar →
dust2	13–10	-0.01	33%	20 Mar →
dust2	13–6	-0.01	31%	20 Mar →
dust2	9–13	-0.02	18%	20 Mar →
dust2	13–10	-0.01	36%	19 Mar →
mirage	5–13	-0.07	20%	19 Mar →