RyStar

RyStar — CS2 Stats

76561199219836881[U:1:1259571153]Steam profile ↗✓ No bans

461Tracked matches48%Win rate2022Tracked since
1,549Hours in CS4Hrs last 2 wks
CSDB Rating3.4 Learning
FaceitLevel 4 · 916 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate48.5%42.5%44.2%above
Shot accuracy8.8%10.9%11.2%2.4% short
Kill/death ratio0.920.991.040.12 short
Match win rate41.7%44.2%45.3%3.6% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRyStarFACEITLevel 4 · 916 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning35
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY444412Last 10044%Win rateLTLTWWLWWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim3.6
Aggression3.3
Utility5.4
Positioning3.5
Opening Duels0.0
Clutch3.8

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

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 706ms 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

Aim3.6
Positioning3.5
Utility5.4
Mechanics5.1
Opening Duels0.0
Win Impact4.4

Composite 3.4/10 (Learning), 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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time675ms+12ms
first ⅓ avg 664ms → last ⅓ avg 675ms
Headshot accuracy16.7%−1.2%
first ⅓ avg 17.9% → last ⅓ avg 16.7%

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

0.18Best rating — inferno 9–1
130Biggest win — mirage
3Longest win streak
127In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 56% over 9ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB33151845%0.00
mirageC1871139%-0.00
cacheB136746%0.00
nukeC104640%-0.00
ancientD93633%-0.02
dust2A95456%0.01
overpass42250%0.03
anubis21150%-0.01
shelter110100%-0.01
vertigo1010%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,412Lifetime kills
0.92K/D
3,406Matches
41.7%Match win rate
48.5%Headshot % · Top 25% of Level 4 players
8.8%Shot accuracy
7,877MVPs
828Hours (in match)
2,437Bombs planted
1,061Bombs defused

Most-used weapons

AK-4715,303
AWP3,869
MP91,611
MAC-101,361
FAMAS1,043

Lifetime map wins

7,057inferno
2,429vertigo
2,135dust2
1,793nuke
680train
605cbble
50italy
46office

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

Faceit stats

Combat

120Matches
49%Win rate
0.81Avg K/D
59.9ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3653%0.639.6
Inferno1560%0.8713.4
Ancient1331%0.8312.0
Dust2956%0.8211.7
Overpass667%0.6510.0
Nuke367%0.7011.0
Anubis1100%0.6911.0
Train1100%1.2117.0

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
29.9%Accuracy (enemy spotted)
32.6%Spray accuracy
72.9%Counter-strafing
10.4°Preaim
706msReaction time
28.9%T opening success
28.7%CT opening success
0.51Enemies flashed / flash
14.6%Flash assists
9.47HE damage / grenade
2.92Flashes / 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.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.3844ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.9153 — below the 4 mark we flag

    Grenade Lineups
  3. 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 28.9357% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0222%28 Aug
nuke15–15-0.0415%26 Aug
ancient6–13-0.0310%26 Aug
inferno8–8-0.0620%13 Aug
inferno9–6-0.0129%27 Jul
inferno13–10-0.0217%27 Jul
mirage11–130.0116%27 Jul
inferno13–110.0014%25 Jul
shelter13–11-0.0116%24 Jul
inferno13–40.0014%22 Jul
cache4–13-0.0118%18 Jul
cache13–110.0212%17 Jul
dust216–130.0319%17 Jul
dust213–70.0322%17 Jul
mirage9–13-0.0514%16 Jul
cache3–13-0.0612%16 Jul
mirage7–13-0.0115%15 Jul
cache15–150.0318%14 Jul
inferno6–130.0413%12 Jul
cache13–20.0116%12 Jul
inferno9–30.0520%8 Jul
inferno7–9-0.0326%8 Jul
vertigo6–9-0.0619%8 Jul
inferno8–80.0715%7 Jul
inferno8–8-0.0418%7 Jul
mirage5–130.0115%5 Jul
dust23–13-0.0612%5 Jul
inferno6–90.0421%5 Jul
inferno8–13-0.1012%30 Jun
inferno5–9-0.0926%27 Jun
mirage13–00.0221%26 Jun
mirage11–20.054%26 Jun
dust24–130.0313%26 Jun
dust213–7-0.0316%18 Jun
ancient6–13-0.109%16 Jun
inferno9–7-0.0130%15 Jun
ancient11–13-0.0616%15 Jun
ancient15–15-0.0115%2 Jun
inferno13–20.0911%2 Jun
inferno16–12-0.0116%2 Jun
mirage13–60.1214%2 Jun
mirage9–13-0.0614%2 Jun
nuke15–150.0521%1 Jun
overpass13–110.0526%1 Jun
dust211–130.0421%31 May
nuke13–80.0418%31 May
overpass13–110.0620%28 May
mirage13–160.0418%26 May
dust216–14-0.0123%25 May
inferno5–9-0.0753%25 May
cache7–13-0.0530%24 May
overpass9–130.0218%24 May
inferno9–6-0.0023%24 May
mirage7–13-0.094%18 May
inferno4–9-0.0714%17 May
inferno8–8-0.0815%12 May
ancient3–13-0.0737%12 May
mirage13–90.0614%11 May
mirage9–13-0.1324%7 May
inferno9–30.1032%6 May
inferno9–40.1331%6 May
cache13–60.0120%5 May
mirage3–13-0.0727%5 May
cache13–30.0539%4 May
inferno9–10.1820%4 May
cache7–130.0617%30 Apr
cache13–40.1428%30 Apr
cache8–13-0.0729%30 Apr
cache13–3-0.0417%30 Apr
cache1–13-0.0513%30 Apr
nuke8–8-0.019%29 Apr
mirage13–11-0.0110%29 Apr
dust213–6-0.008%23 Apr
inferno4–9-0.0912%22 Apr
inferno5–9-0.0712%19 Apr
inferno6–9-0.0314%18 Apr
mirage13–60.0226%9 Apr
inferno8–80.0528%9 Apr
nuke14–160.0317%7 Apr
inferno9–40.1742%6 Apr
inferno9–5-0.0240%3 Apr
mirage12–120.0031%30 Mar
nuke4–13-0.0913%29 Mar
inferno9–20.103%22 Mar
anubis10–13-0.0122%20 Mar
nuke13–110.0516%19 Mar
overpass11–13-0.0116%18 Mar
ancient13–50.0314%18 Mar
inferno2–9-0.0910%17 Mar
nuke13–11-0.0813%15 Mar
anubis13–5-0.0225%15 Mar
nuke15–15-0.029%13 Mar
dust29–130.0326%13 Mar
ancient13–50.0220%12 Mar
inferno4–9-0.0128%11 Mar
inferno5–90.0119%11 Mar
ancient11–13-0.0210%10 Mar
nuke13–90.0113%10 Mar
ancient13–110.0517%10 Mar
mirage13–110.0110%10 Mar

Match data via Leetify.

Recent teammates

Milestones

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