Elrick

Elrick — CS2 Stats

76561199189043113[U:1:1228777385]Steam profile ↗✓ No bans

678Tracked matches38%Win rate2023Tracked since
417Hours in CS
CSDB Rating5.0 DevelopingPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 678
0.0ppWin rate · 37.9% → 37.9%

Rating over time

Premier CS Rating: 11,639 -1,437 3 Jan – 17 Jan · 11 days played
11,63913,076peak 13,0763 Jan17 Jan
13,466Peak Premier in tracked matches
43Days played since 2026-01-03

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

Performance scores

Aim83
Positioning41
Utility18

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLLLLLWWWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · −47ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 661ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 634ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 658ms

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 (+2.1 against its own average).

Aim8.3
Utility1.8
Positioning4.1
Opening Duels1.1
Clutch1.0

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

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

Reaction time. 684ms 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

Aim8.3
Positioning4.1
Utility1.8
Mechanics8.2
Opening Duels0.9
Win Impact1.0

Composite 5.0/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time673ms+4ms
first ⅓ avg 668ms → last ⅓ avg 673ms
Headshot accuracy19.7%−3.5%
first ⅓ avg 23.2% → last ⅓ avg 19.7%

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.

Personal bests

0.12Best match rating · 13–5 · mirage, 15 Feb →
48%Best headshot accuracy · 13–5 · mirage, 11 Jul →
469msFastest reaction time · 4–13 · anubis, 15 May →
13–1Biggest win · mirage, 15 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L5Current streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 57% over 7infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%0.01
cacheB199–1047%-0.00
infernoD196–1332%-0.01
dust2A95–456%0.01
overpassB84–450%-0.02
nukeA74–357%0.01
ancientD62–433%-0.02
train—41–325%0.02
anubis—21–150%0.02
office—10–10%-0.05
vertigo—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,659Lifetime kills
0.86K/D
918Matches
43.5%Match win rate
39.4%Headshot %
10.5%Shot accuracy
1,787MVPs
417Hours (in match)
850Bombs planted
191Bombs defused

Most-used weapons

Lifetime map wins

2,466inferno
885nuke
871dust2
739vertigo
165train
58office
7lake
3ar_shoots

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

Faceit stats

Combat

10Matches
20%Win rate
1.05Avg K/D
81.0ADR
41%Headshot %

Clutches & streaks

25%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.9216.3
Inferno30%0.9213.7
Vertigo250%1.3816.0
Dust210%1.2520.0

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.

20.8%Headshot accuracy
42.5%Accuracy (enemy spotted)
40.1%Spray accuracy
86.8%Counter-strafing
9.2°Preaim
684msReaction time
35.2%T opening success
31.9%CT opening success
0.24Enemies flashed / flash
4.1%Flash assists
8.30HE damage / grenade
1.07Flashes / 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 0.2438 — 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 35.2023% — below the 40% mark we flag

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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office8–13-0.0525%26 Sept →
dust21–130.022%26 Sept →
cache5–130.0222%26 Sept →
mirage8–13-0.0517%26 Sept →
mirage7–13-0.0418%7 Sept →
nuke13–40.0714%7 Sept →
anubis13–50.0331%2 Sept →
inferno13–90.0120%1 Sept →
cache7–13-0.0921%7 Aug →
inferno11–13-0.0442%31 Jul →
nuke3–13-0.0610%31 Jul →
mirage13–3-0.0114%31 Jul →
nuke10–13-0.0138%31 Jul →
mirage13–50.0648%11 Jul →
inferno13–16-0.0113%10 Jul →
cache16–140.0316%10 Jul →
mirage7–13-0.0223%10 Jul →
mirage8–130.0215%10 Jul →
inferno13–50.114%9 Jul →
cache9–13-0.0624%9 Jul →
mirage4–13-0.0317%8 Jul →
mirage13–50.0918%8 Jul →
mirage2–13-0.0621%8 Jul →
cache11–130.0131%7 Jul →
mirage11–130.0015%5 Jul →
cache12–120.0825%5 Jul →
cache13–9-0.1015%5 Jul →
inferno7–9-0.1617%4 Jul →
overpass4–9-0.200%4 Jul →
inferno9–7-0.0333%4 Jul →
inferno9–10.070%4 Jul →
inferno3–9-0.1228%4 Jul →
mirage13–8-0.0213%3 Jul →
nuke11–13-0.0125%3 Jul →
nuke11–2-0.0516%3 Jul →
inferno11–130.0610%28 Jun →
mirage11–13-0.0126%28 Jun →
inferno10–130.0334%24 Jun →
overpass13–80.0812%24 Jun →
dust213–90.0218%30 May →
inferno13–160.0312%30 May →
ancient9–13-0.028%30 May →
mirage13–7-0.0311%29 May →
cache7–13-0.0627%29 May →
cache10–13-0.0026%21 May →
mirage13–7-0.0133%21 May →
ancient4–13-0.0515%21 May →
inferno12–120.0122%18 May →
cache9–130.0027%18 May →
mirage6–130.0442%17 May →
inferno13–11-0.0119%17 May →
cache13–100.0333%17 May →
ancient13–3-0.0119%15 May →
dust24–13-0.0519%15 May →
mirage13–10.0827%15 May →
inferno5–130.0136%15 May →
vertigo13–6-0.0314%15 May →
cache12–12-0.0013%15 May →
anubis4–130.0013%15 May →
cache4–12-0.0613%15 May →
overpass8–13-0.0515%10 May →
overpass7–10.007%10 May →
cache13–110.034%10 May →
cache13–70.0024%9 May →
cache13–5-0.0319%9 May →
cache13–70.0842%3 May →
cache13–50.0117%3 May →
cache13–50.069%29 Apr →
overpass13–100.0531%27 Apr →
dust213–3-0.0223%26 Apr →
mirage11–13-0.0535%26 Apr →
overpass7–13-0.0445%28 Mar →
mirage10–130.0133%7 Mar →
inferno4–13-0.0745%27 Feb →
mirage13–100.0416%27 Feb →
mirage13–50.1221%15 Feb →
mirage13–110.0738%15 Feb →
inferno13–60.0136%15 Feb →
ancient0–9-0.0422%15 Feb →
inferno8–13-0.0842%17 Jan →
mirage4–13-0.0144%13 Jan →
train3–13-0.0424%12 Jan →
mirage13–11-0.0321%12 Jan →
nuke16–140.048%12 Jan →
train12–160.0316%11 Jan →
overpass13–4-0.0123%11 Jan →
dust213–40.0425%10 Jan →
dust29–130.0926%10 Jan →
dust210–13-0.0413%8 Jan →
nuke13–80.0613%8 Jan →
overpass11–130.0427%7 Jan →
ancient9–130.0115%6 Jan →
inferno9–13-0.0111%5 Jan →
ancient13–7-0.0313%5 Jan →
dust213–30.0223%4 Jan →
inferno7–13-0.068%4 Jan →
train15–15-0.019%4 Jan →
train13–30.0821%4 Jan →
mirage13–16-0.0011%3 Jan →
dust213–9-0.0118%3 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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