Riddler.

Riddler. — CS2 Stats

76561198109225028[U:1:148959300]Steam profile ↗✓ No bans

1,280Tracked matches59%Win rate2022Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating16,974Purple band · top ~20.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 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: 16,974 +2,385 31 Aug – 13 Oct · 27 days played
14,58917,826peak 17,82631 Aug13 Oct
17,826Peak Premier in tracked matches
31Days played since 2026-08-31

Premier CS Rating

  • 852 below peak (17,826)
  • +307 over 30 days · steady
  • Next: Pink band at 20,000 — 3,026 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGRiddler.PREMIER16,974 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning68
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateWLWWWWTWTL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · +37ms 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 15%
  • Avg reaction 622ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 579ms

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 (+2.5 against its own average).

Aim8.2
Utility5.7
Positioning6.8
Opening Duels4.8
Clutch0.0

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 604ms 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
Positioning6.8
Utility5.7
Mechanics7.3
Opening Duels5.5
Win Impact8.1

Composite 7.1/10 (Strong), 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 rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time609ms+0ms
first ⅓ avg 609ms → last ⅓ avg 609ms
Headshot accuracy15.1%+2.7%
first ⅓ avg 12.4% → last ⅓ avg 15.1%

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

0.20Best match rating · 13–6 · dust2, 12 Sept →
34%Best headshot accuracy · 13–7 · dust2, 25 Sept →
422msFastest reaction time · 13–6 · inferno, 11 Oct →
13–0Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
dust2S2517–868%0.04
infernoD248–1633%0.01
nukeB157–847%0.02
ancientB126–650%0.04
cacheS107–370%0.02
anubisS86–275%0.06
mirageC52–340%0.00
overpass—10–10%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
1.06Avg K/D
88.0ADR
42%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

15.3%Headshot accuracy
46.3%Accuracy (enemy spotted)
44.0%Spray accuracy
83.1%Counter-strafing
11.5°Preaim
604msReaction time
53.9%T opening success
50.0%CT opening success
0.62Enemies flashed / flash
10.6%Flash assists
10.09HE damage / grenade
4.58Flashes / match

Recommended for you

Spend your practice time on Inferno

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 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–90.0417%16 Oct →
dust27–130.0713%16 Oct →
dust213–11-0.0111%15 Oct →
ancient13–100.0721%15 Oct →
dust212–6-0.0213%15 Oct →
inferno13–30.017%15 Oct →
dust212–120.0311%14 Oct →
cache13–10-0.0020%14 Oct →
mirage12–12-0.0213%14 Oct →
ancient6–12-0.019%13 Oct →
ancient15–150.1011%12 Oct →
cache13–50.056%12 Oct →
inferno2–13-0.0111%12 Oct →
inferno13–10-0.0520%11 Oct →
dust213–70.029%11 Oct →
nuke13–40.0916%11 Oct →
inferno13–60.0225%11 Oct →
cache6–13-0.056%9 Oct →
anubis13–40.0814%9 Oct →
cache13–60.0512%9 Oct →
nuke6–13-0.0515%8 Oct →
inferno11–130.1422%7 Oct →
nuke13–80.0526%7 Oct →
nuke13–90.0020%2 Oct →
dust29–130.0121%29 Sept →
anubis13–160.0216%29 Sept →
ancient16–12-0.0219%28 Sept →
inferno10–130.0411%28 Sept →
nuke9–13-0.0112%28 Sept →
nuke12–16-0.0022%27 Sept →
dust211–13-0.0421%27 Sept →
inferno13–100.0111%27 Sept →
cache16–13-0.0616%26 Sept →
mirage7–130.0412%26 Sept →
inferno6–130.0216%26 Sept →
dust213–70.0734%25 Sept →
inferno15–150.0512%25 Sept →
anubis13–90.1214%25 Sept →
nuke13–60.0021%25 Sept →
dust213–110.0719%25 Sept →
dust211–130.1827%25 Sept →
ancient6–13-0.0210%24 Sept →
dust213–100.0422%24 Sept →
inferno15–150.0623%24 Sept →
inferno13–4-0.0215%24 Sept →
cache13–30.106%23 Sept →
overpass8–130.1214%23 Sept →
inferno6–13-0.0610%23 Sept →
ancient4–13-0.028%22 Sept →
dust213–30.0619%22 Sept →
nuke15–150.0513%22 Sept →
nuke13–7-0.0012%21 Sept →
anubis13–70.0223%21 Sept →
inferno4–13-0.0813%21 Sept →
inferno7–13-0.0411%20 Sept →
ancient13–100.076%20 Sept →
nuke8–13-0.0013%20 Sept →
ancient13–70.0810%20 Sept →
dust213–100.0412%19 Sept →
anubis13–20.0718%19 Sept →
dust213–00.1023%18 Sept →
nuke10–130.0710%18 Sept →
inferno15–150.066%18 Sept →
dust213–30.0213%18 Sept →
mirage16–14-0.023%18 Sept →
mirage13–110.0313%18 Sept →
dust213–90.009%17 Sept →
inferno5–130.0318%17 Sept →
ancient5–13-0.0116%17 Sept →
nuke13–7-0.0013%17 Sept →
ancient13–30.0715%16 Sept →
inferno7–130.0113%15 Sept →
ancient13–90.1116%15 Sept →
anubis13–100.0313%15 Sept →
cache12–120.0814%15 Sept →
nuke8–13-0.057%15 Sept →
cache10–130.008%14 Sept →
inferno5–13-0.0412%14 Sept →
dust213–100.129%13 Sept →
dust213–70.1122%13 Sept →
anubis5–130.0516%13 Sept →
inferno13–30.0113%13 Sept →
nuke10–13-0.0015%13 Sept →
cache13–20.006%13 Sept →
dust213–90.0512%12 Sept →
dust213–60.2011%12 Sept →
dust213–100.0210%11 Sept →
inferno16–120.0910%11 Sept →
dust24–13-0.115%11 Sept →
inferno16–130.0018%11 Sept →
mirage10–13-0.0213%11 Sept →
ancient8–130.038%10 Sept →
dust213–40.066%10 Sept →
dust21–13-0.0717%10 Sept →
nuke13–50.1415%10 Sept →
inferno5–130.0518%10 Sept →
inferno7–13-0.016%9 Sept →
dust211–130.049%9 Sept →
anubis13–80.0817%9 Sept →
inferno14–160.038%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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