rick1199

rick1199 — CS2 Stats

76561198396812421[U:1:436546693]Steam profile ↗✓ No bans

267Tracked matches50%Win rate2021Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,887Top 50% of 201,122 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
CSDB Leaderboard#95620 of 247969 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,887 +4,192 12 Jan – 28 Sept · 16 days played
14,69519,336peak 19,33612 Jan28 Sept
19,578Peak Premier in tracked matches
47Days played since 2025-01-12

Premier CS Rating

  • 449 below peak (19,336)
  • Next: Pink band at 20,000 — 1,113 to go
  • Reached: Purple band · Blue band · 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.GGrick1199PREMIER18,887 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning59
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateWTWWWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.1pp headshot accuracy · +36ms reaction

Win rate 0pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 602ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 590ms

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 Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim8.2
Utility3.6
Positioning5.9
Opening Duels5.1

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 599ms 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

Aim8.2
Positioning5.9
Utility3.6
Mechanics6.6
Opening Duels5.1
Win Impact5.0

Composite 6.2/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time604ms+4ms
first ⅓ avg 600ms → last ⅓ avg 604ms
Headshot accuracy20.2%+4.1%
first ⅓ avg 16.0% → last ⅓ avg 20.2%

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 · 7–0 · overpass, 30 Oct →
50%Best headshot accuracy · 13–5 · mirage, 19 Jul →
453msFastest reaction time · 13–8 · anubis, 3 Aug →
13–0Biggest win · inferno, 15 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%0.04
infernoB189–950%0.00
anubisB179–853%0.02
ancientS1511–473%0.01
mirageC104–640%-0.02
dust2D93–633%0.00
overpassB63–350%0.03
cacheS54–180%-0.00
train—20–20%-0.03

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.

20.4%Headshot accuracy
40.5%Accuracy (enemy spotted)
45.5%Spray accuracy
79.8%Counter-strafing
10.4°Preaim
599msReaction time
47.4%T opening success
53.4%CT opening success
0.46Enemies flashed / flash
3.0%Flash assists
8.98HE damage / grenade
3.36Flashes / 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 0.4552 — below the 0.5 mark we flag

    Grenade Lineups →
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 & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0221%28 Sept →
anubis15–15-0.0320%28 Sept →
nuke13–110.0924%23 Sept →
cache13–40.0522%21 Sept →
cache13–70.0217%14 Sept →
inferno6–3-0.0521%14 Sept →
nuke9–13-0.0212%14 Sept →
ancient9–130.0324%14 Sept →
inferno7–13-0.0321%14 Sept →
nuke4–130.0922%14 Sept →
inferno4–130.0022%13 Sept →
dust25–13-0.0214%13 Sept →
dust23–13-0.0225%13 Sept →
mirage8–13-0.0723%13 Sept →
cache13–40.0326%3 Aug →
anubis13–8-0.0124%3 Aug →
inferno13–6-0.0125%3 Aug →
ancient13–8-0.0418%30 Jul →
anubis13–100.0726%27 Jul →
inferno11–130.0431%27 Jul →
nuke11–13-0.0027%27 Jul →
anubis13–110.0518%23 Jul →
anubis15–150.0214%23 Jul →
anubis12–160.0516%20 Jul →
anubis13–40.1412%20 Jul →
cache1–13-0.100%20 Jul →
anubis13–60.0411%19 Jul →
mirage13–5-0.1050%19 Jul →
inferno9–50.1311%1 Jul →
overpass6–13-0.0519%1 Jul →
mirage6–13-0.087%1 Jul →
ancient13–20.0731%29 Jun →
ancient13–110.0711%25 Jun →
inferno9–60.0443%8 Jun →
nuke13–30.1418%8 Jun →
nuke7–13-0.017%8 Jun →
dust27–130.0219%25 May →
nuke13–50.0514%30 Mar →
overpass10–3-0.0028%30 Mar →
ancient13–10.0624%9 Mar →
mirage8–13-0.0717%10 Jan →
dust213–10-0.0117%10 Jan →
mirage13–11-0.0219%22 Dec →
dust26–13-0.0213%16 Dec →
overpass13–160.0318%16 Dec →
overpass13–20.0610%16 Dec →
nuke13–40.118%15 Nov →
mirage8–13-0.0012%15 Nov →
overpass5–13-0.0013%15 Nov →
inferno13–00.0135%15 Nov →
nuke5–13-0.0514%6 Nov →
nuke9–00.1317%31 Oct →
ancient9–13-0.0323%31 Oct →
inferno15–150.0320%31 Oct →
mirage7–130.0617%30 Oct →
overpass7–00.1539%30 Oct →
mirage4–130.0618%21 Sept →
inferno5–9-0.1116%21 Sept →
inferno7–9-0.0018%21 Sept →
nuke13–10-0.0210%21 Sept →
mirage13–110.0419%4 Sept →
ancient13–7-0.0112%4 Sept →
ancient13–80.0013%30 Jun →
inferno11–130.0223%24 Jun →
nuke13–16-0.0114%20 Jun →
ancient1–13-0.0924%19 Jun →
inferno8–130.0416%19 Jun →
ancient13–10.0716%19 Jun →
dust215–15-0.029%1 Jun →
inferno13–11-0.0224%28 May →
inferno13–8-0.0619%17 May →
train14–16-0.048%17 May →
anubis12–160.0014%17 May →
ancient13–9-0.0417%17 May →
anubis10–13-0.0419%16 May →
anubis13–50.0114%16 May →
nuke7–13-0.0421%16 May →
anubis13–6-0.0112%17 Mar →
nuke8–130.0924%3 Mar →
train7–13-0.0319%19 Feb →
nuke13–70.0414%6 Feb →
ancient6–13-0.0215%6 Feb →
anubis13–8-0.0313%6 Feb →
ancient13–30.0314%6 Feb →
dust23–13-0.0617%6 Feb →
anubis15–15-0.0317%5 Feb →
dust216–140.0415%5 Feb →
nuke13–90.0511%4 Feb →
ancient13–110.0210%4 Feb →
inferno11–13-0.0117%3 Feb →
mirage13–100.0419%27 Jan →
ancient13–8-0.0214%15 Jan →
inferno13–6-0.0113%15 Jan →
nuke9–130.0114%15 Jan →
anubis13–90.029%14 Jan →
dust213–80.1017%14 Jan →
anubis5–130.0424%13 Jan →
inferno13–110.0120%13 Jan →
anubis15–150.0318%13 Jan →
nuke13–40.0821%12 Jan →

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 →

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