Ryzo.-.

Ryzo.-. — CS2 Stats

76561199884882111[U:1:1924616383]Steam profile ↗✓ No bans

82Tracked matches70%Win rate2025Tracked since
CSDB Rating5.6 SolidClutch Specialist
WingmanSilver Elite Master
Ladder ranks via Leetify

Performance scores

Aim67
Positioning46
Utility29

0–100 skill scores via Leetify.

Recent form

HOT42–30–5Last 7755%Win rateWLWWWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.0pp headshot accuracy · +17ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 714ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 681ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 672ms

Newest first, from the last 77 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.4 against its own average).

Aim6.7
Utility2.9
Positioning4.6
Opening Duels3.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

donk

Plays most like donk 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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. 681ms 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

Aim6.7
Positioning4.6
Utility2.9
Mechanics5.5
Opening Duels4.0
Win Impact10.0

Composite 5.6/10 (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 rating0.03+0.08
first ⅓ avg -0.04 → last ⅓ avg 0.03
Reaction time672ms+13ms
first ⅓ avg 659ms → last ⅓ avg 672ms
Headshot accuracy15.5%−0.2%
first ⅓ avg 15.7% → last ⅓ avg 15.5%

Rolling 5-match average across the last 77 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.24Best match rating · 9–2 · inferno, 7 Oct →
41%Best headshot accuracy · 13–5 · anubis, 16 Sept →
492msFastest reaction time · 5–13 · inferno, 7 Sept →
13–0Biggest win · mirage, 8 Sept →

Across the last 77 tracked matches.

Highlights

7Longest win streak
5–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA5430–2456%-0.01
infernoB84–450%-0.01
dust2S64–267%0.01
anubis—32–167%0.03
vertigo—32–167%-0.04
nuke—30–30%-0.03

Across the last 77 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
36%Win rate
0.91Avg K/D
57.1ADR
43%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%0.9511.3
Dust2333%1.2714.0
Inferno10%0.386.0
Anubis10%0.385.0
Cache10%1.4014.0
Nuke10%0.274.0

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.

15.2%Headshot accuracy
41.5%Accuracy (enemy spotted)
39.8%Spray accuracy
74.9%Counter-strafing
9.7°Preaim
681msReaction time
43.3%T opening success
48.5%CT opening success
0.53Enemies flashed / flash
2.9%Flash assists
5.35HE damage / grenade
4.89Flashes / match

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0217%3 Nov →
mirage4–13-0.0413%23 Oct →
mirage13–5-0.0115%17 Oct →
mirage8–00.1010%16 Oct →
mirage13–20.1313%16 Oct →
dust213–110.0235%16 Oct →
mirage5–13-0.0219%16 Oct →
mirage13–100.1114%16 Oct →
mirage13–2-0.0110%16 Oct →
mirage13–10.058%13 Oct →
mirage13–9-0.0112%13 Oct →
mirage13–70.0313%13 Oct →
mirage13–4-0.009%13 Oct →
anubis13–20.0918%13 Oct →
mirage2–13-0.0210%12 Oct →
mirage2–13-0.018%9 Oct →
mirage13–110.0518%9 Oct →
mirage13–70.0512%9 Oct →
mirage7–13-0.0624%8 Oct →
dust213–110.0311%8 Oct →
mirage10–130.0725%8 Oct →
mirage9–0-0.0025%8 Oct →
inferno9–20.2413%7 Oct →
dust29–130.0317%7 Oct →
dust213–20.0421%7 Oct →
mirage3–13-0.0213%6 Oct →
mirage13–30.0218%6 Oct →
vertigo13–4-0.026%6 Oct →
mirage5–13-0.0414%3 Oct →
mirage7–30.040%3 Oct →
mirage13–50.0215%3 Oct →
inferno13–9-0.0310%2 Oct →
mirage13–90.0610%29 Sept →
mirage12–120.0312%25 Sept →
nuke3–11-0.0310%25 Sept →
mirage7–13-0.0716%25 Sept →
anubis5–13-0.037%25 Sept →
mirage13–30.0214%22 Sept →
dust20–6-0.0913%22 Sept →
mirage13–20.0810%22 Sept →
mirage8–13-0.0219%22 Sept →
mirage2–80.0213%21 Sept →
mirage9–13-0.0211%21 Sept →
inferno2–13-0.0215%21 Sept →
anubis13–50.0341%16 Sept →
vertigo13–5-0.0519%16 Sept →
mirage10–13-0.0720%16 Sept →
inferno9–7-0.0224%16 Sept →
inferno14–16-0.0217%16 Sept →
mirage13–4-0.074%16 Sept →
mirage11–13-0.028%15 Sept →
dust213–40.068%15 Sept →
mirage12–12-0.019%15 Sept →
mirage4–13-0.066%15 Sept →
mirage13–9-0.070%14 Sept →
mirage10–30.0814%14 Sept →
inferno13–8-0.0525%9 Sept →
mirage13–00.0317%8 Sept →
mirage13–11-0.0816%8 Sept →
mirage13–10-0.0811%8 Sept →
inferno5–13-0.0819%7 Sept →
mirage8–13-0.0224%3 Sept →
vertigo12–12-0.0411%3 Sept →
mirage13–4-0.0920%3 Sept →
nuke5–13-0.1112%1 Sept →
mirage5–13-0.0618%1 Sept →
mirage13–30.0219%1 Sept →
mirage13–40.0114%27 Aug →
mirage9–130.0227%24 Aug →
mirage5–13-0.0832%21 Aug →
mirage13–7-0.045%20 Aug →
mirage11–13-0.0915%10 Aug →
mirage13–8-0.0212%2 Aug →
mirage12–12-0.0812%2 Aug →
mirage10–13-0.0823%13 Sept →
inferno7–9-0.1119%21 Aug →
nuke8–80.0514%21 Aug →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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