RychardSch

RychardSch — CS2 Stats

BR76561199080199522[U:1:1119933794]Steam profile ↗✓ No bans

165Tracked matches52%Win rate2025Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating4,961Grey band · top ~79% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+40Premier CS Rating · 4,921 → 4,961
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 25 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,961 +2,839 25 Apr23 Sept · 24 days played
1,4285,926peak 5,92625 Apr23 Sept
6,043Peak Premier in tracked matches
44Days played since 2026-04-25

Premier CS Rating

  • 965 below peak (5,926)
  • +973 over 30 days · improving
  • Next: Light Blue band at 5,000 39 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGRychardSchPREMIER4,961 · Grey bandcsdb.gg/stats

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Performance scores

Aim52
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

HOT50482Last 10050%Win rateWLWWWLWLWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −3.1pp headshot accuracy · +24ms 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 9%
  • Avg reaction 636ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 649ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 637ms

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: Positional PlayerPositioning stands above the rest of this profile (+0.8 against its own average).

Aim5.2
Utility6.0
Positioning6.2
Opening Duels3.9

Strong CT-side opener

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

jL

Plays most like jL 71% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim5.2
Positioning6.2
Utility6.0
Mechanics5.1
Opening Duels4.9
Win Impact5.6

Composite 5.0/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time638ms−18ms
first ⅓ avg 656ms → last ⅓ avg 638ms
Headshot accuracy12.6%+2.7%
first ⅓ avg 10.0% → last ⅓ avg 12.6%

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

0.12Best match rating · 16–12 · dust2, 11 Aug
28%Best headshot accuracy · 13–0 · mirage, 11 Aug
484msFastest reaction time · 5–13 · mirage, 10 Sept
13–0Biggest win · mirage, 11 Aug

Across the last 100 tracked matches.

Highlights

14Longest win streak
88In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 65% over 26dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2617965%-0.01
mirageB23121152%0.01
cacheC1661038%-0.00
anubisB126650%0.00
dust2D93633%0.04
ancient42250%-0.02
nuke42250%-0.01
train3030%-0.03
office21150%0.02
overpass110100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.2%Spray accuracy
72.8%Counter-strafing
9.9°Preaim
637msReaction time
38.5%T opening success
60.5%CT opening success
0.54Enemies flashed / flash
4.6%Flash assists
10.30HE damage / grenade
10.35Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.6185% — below the 15% mark we flag

    Aim Training
  2. 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 38.4863% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.038%23 Sept
inferno10–130.049%23 Sept
inferno13–110.039%22 Sept
ancient16–130.018%21 Sept
nuke13–110.0313%20 Sept
inferno7–13-0.097%20 Sept
inferno13–6-0.0313%20 Sept
dust210–130.0212%19 Sept
nuke13–10-0.0319%18 Sept
mirage13–40.1112%17 Sept
anubis13–6-0.0013%16 Sept
anubis10–30.024%16 Sept
inferno13–10-0.0111%12 Sept
cache13–90.0419%11 Sept
mirage5–13-0.0213%10 Sept
nuke10–13-0.0113%10 Sept
inferno3–130.0714%9 Sept
dust28–130.0220%8 Sept
office13–110.0619%2 Sept
office8–13-0.0216%2 Sept
inferno6–13-0.038%30 Aug
inferno13–80.058%28 Aug
cache1–13-0.0623%28 Aug
inferno6–13-0.029%28 Aug
mirage13–30.0514%28 Aug
cache12–120.015%27 Aug
dust29–130.0810%27 Aug
dust28–13-0.0120%26 Aug
cache8–130.0216%26 Aug
cache13–80.0518%26 Aug
cache13–100.0216%26 Aug
dust213–30.0511%25 Aug
dust28–130.0110%25 Aug
mirage13–100.0314%25 Aug
anubis13–100.0113%25 Aug
mirage6–130.0515%24 Aug
inferno13–11-0.0111%24 Aug
mirage10–13-0.0514%24 Aug
cache11–13-0.0611%23 Aug
inferno8–13-0.0911%23 Aug
inferno6–13-0.0211%23 Aug
dust213–110.028%23 Aug
ancient9–13-0.0410%23 Aug
mirage13–3-0.0124%23 Aug
mirage7–13-0.0012%23 Aug
mirage5–130.0217%21 Aug
anubis9–13-0.038%21 Aug
mirage10–13-0.055%20 Aug
cache11–13-0.029%20 Aug
inferno13–2-0.073%19 Aug
ancient10–13-0.0213%18 Aug
mirage13–90.0011%18 Aug
inferno13–10-0.0110%18 Aug
anubis7–13-0.003%18 Aug
inferno13–100.0111%16 Aug
mirage9–13-0.039%16 Aug
cache13–9-0.094%15 Aug
cache13–70.0815%15 Aug
train1–13-0.068%15 Aug
train11–13-0.0216%14 Aug
inferno13–110.0211%14 Aug
anubis13–11-0.018%14 Aug
inferno13–10-0.0416%13 Aug
inferno13–4-0.035%13 Aug
cache13–70.067%13 Aug
mirage13–90.057%13 Aug
mirage13–40.0516%13 Aug
mirage9–00.080%12 Aug
inferno13–9-0.018%12 Aug
anubis13–60.016%12 Aug
inferno13–8-0.0117%12 Aug
ancient13–10-0.025%12 Aug
mirage13–00.0328%11 Aug
dust216–120.1216%11 Aug
mirage11–13-0.0018%11 Aug
dust211–130.0812%4 Aug
cache10–13-0.0415%2 Jul
mirage8–130.0110%21 Jun
train9–13-0.0210%20 Jun
anubis5–70.0618%3 Jun
inferno13–6-0.010%26 May
inferno13–9-0.0513%26 May
nuke23–25-0.0212%24 May
cache11–130.1016%24 May
inferno8–13-0.046%24 May
cache6–13-0.0611%24 May
mirage13–16-0.054%23 May
anubis5–13-0.029%16 May
overpass13–80.0510%16 May
mirage3–13-0.100%16 May
inferno13–70.032%16 May
cache1–13-0.0114%10 May
anubis8–130.008%2 May
inferno6–13-0.0517%27 Apr
inferno13–100.0311%25 Apr
anubis13–2-0.018%25 Apr
mirage16–130.055%25 Apr
cache12–16-0.047%25 Apr
anubis15–15-0.014%25 Apr
mirage13–11-0.028%25 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →