rickstreik

rickstreik — CS2 Stats

DE76561198837612713[U:1:877346985]Steam profile ↗✓ No bans

125Tracked matches53%Win rate2022Tracked since
CSDB Rating6.0 SolidOpening Duellist
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,683 +3,902 30 Mar – 11 May · 19 days played
8,63316,683peak 16,68330 Mar11 May
16,683Peak Premier in tracked matches
42Days played since 2025-03-30

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

Performance scores

Aim78
Positioning52
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLLWWWLLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −1.5pp headshot accuracy · −72ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+0.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.8
Utility3.4
Positioning5.2
Opening Duels5.6

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.

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; 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.

T-side openings. Opening success drops from 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim7.8
Positioning5.2
Utility3.4
Mechanics7.3
Opening Duels4.2
Win Impact6.1

Composite 6.0/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time624ms−68ms
first ⅓ avg 692ms → last ⅓ avg 624ms
Headshot accuracy17.9%+2.3%
first ⅓ avg 15.6% → last ⅓ avg 17.9%

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

0.15Best match rating · 10–13 · ancient, 15 Dec →
41%Best headshot accuracy · 13–3 · inferno, 18 Dec →
430msFastest reaction time · 0–9 · inferno, 11 Feb →
13–0Biggest win · ancient, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 71% over 17anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2313–1057%0.05
ancientS1712–571%0.05
infernoB147–750%-0.02
dust2D124–833%0.02
overpassC104–640%0.04
mirageC94–544%-0.02
anubisD92–722%0.00
cache—11–0100%0.05
train—11–0100%-0.04
vertigo—10–10%-0.16
jura—11–0100%-0.01
agency—10–10%-0.07
grail—11–0100%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis 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.

18.4%Headshot accuracy
40.5%Accuracy (enemy spotted)
41.1%Spray accuracy
83.0%Counter-strafing
10.5°Preaim
617msReaction time
37.4%T opening success
56.3%CT opening success
0.36Enemies flashed / flash
3.9%Flash assists
9.96HE damage / grenade
3.96Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3583 — below the 0.5 mark we flag

    Grenade Lineups →
  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 37.4091% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0834%19 Jul →
anubis1–7-0.080%19 Jul →
dust26–13-0.0129%19 Jul →
dust213–110.1018%16 Jul →
dust213–90.0614%15 Jul →
cache13–10.0516%6 Jul →
anubis10–13-0.0115%11 Jun →
overpass3–13-0.0417%11 Jun →
anubis13–90.0216%11 May →
anubis8–130.0216%6 May →
nuke13–40.1125%6 May →
ancient13–60.0725%6 May →
overpass13–70.1220%8 Apr →
dust28–13-0.0116%5 Mar →
anubis10–13-0.0819%25 Feb →
nuke11–130.0815%25 Feb →
nuke10–13-0.0510%25 Feb →
mirage13–7-0.0520%24 Feb →
ancient13–40.0914%23 Feb →
ancient13–4-0.0027%16 Feb →
dust213–7-0.0121%16 Feb →
inferno0–9-0.2717%11 Feb →
nuke3–9-0.066%11 Feb →
overpass13–10.0428%11 Feb →
dust213–50.0015%11 Feb →
ancient8–130.0417%19 Jan →
ancient4–130.0123%19 Jan →
overpass13–30.1212%26 Dec →
overpass8–130.0713%26 Dec →
nuke6–13-0.0119%26 Dec →
train13–7-0.0415%23 Dec →
overpass13–100.1318%23 Dec →
dust29–130.0320%22 Dec →
nuke13–50.0813%22 Dec →
dust210–130.0419%22 Dec →
inferno1–13-0.0318%18 Dec →
inferno13–30.0241%18 Dec →
vertigo2–9-0.1614%15 Dec →
mirage13–80.0112%15 Dec →
ancient10–130.1522%15 Dec →
nuke16–14-0.0214%15 Dec →
inferno10–13-0.0223%1 Dec →
nuke14–16-0.0220%1 Dec →
ancient13–0-0.038%6 Nov →
mirage13–20.079%6 Nov →
nuke13–90.0410%3 Nov →
nuke13–80.0420%3 Nov →
inferno13–70.0012%3 Nov →
nuke9–130.1027%25 Oct →
ancient13–30.0624%5 Oct →
overpass11–13-0.0012%5 Oct →
inferno13–70.0315%5 Oct →
nuke11–130.0414%5 Oct →
inferno13–80.0626%22 Sept →
nuke13–90.0439%22 Sept →
nuke14–160.0412%21 Sept →
ancient13–30.1512%21 Sept →
inferno11–13-0.0611%21 Sept →
ancient6–130.0220%21 Sept →
overpass2–13-0.0719%21 Sept →
ancient4–13-0.0517%21 Sept →
nuke15–150.0115%18 Sept →
ancient13–70.0726%18 Sept →
nuke13–40.1316%18 Sept →
dust211–130.0216%18 Sept →
nuke16–140.0811%14 Sept →
nuke13–20.127%14 Sept →
overpass12–160.0323%11 Sept →
nuke13–90.0524%11 Sept →
nuke13–110.1111%8 Sept →
inferno9–13-0.027%8 Sept →
mirage3–80.0317%7 Sept →
dust26–13-0.0221%4 Sept →
mirage9–13-0.0815%4 Sept →
overpass11–130.0111%4 Sept →
anubis15–150.0423%7 Jul →
inferno11–130.0519%7 Jul →
ancient13–110.0213%6 Jun →
anubis10–130.017%6 Jun →
ancient13–100.1016%6 Jun →
nuke2–60.0428%6 Jun →
jura13–8-0.0117%12 May →
agency6–13-0.0714%12 May →
grail13–50.0915%12 May →
inferno13–11-0.027%12 May →
ancient13–90.0826%10 May →
inferno12–160.0018%10 May →
nuke13–100.0318%10 May →
inferno13–10-0.0315%29 Apr →
ancient13–90.0116%29 Apr →
anubis7–130.038%12 Apr →
mirage5–13-0.078%12 Apr →
nuke13–70.0711%12 Apr →
ancient13–10.059%12 Apr →
anubis13–110.0513%7 Apr →
dust211–130.0519%7 Apr →
mirage13–60.0313%31 Mar →
dust25–13-0.0313%31 Mar →
inferno13–30.0610%30 Mar →
mirage6–13-0.0630%30 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.