Lolywiz

Lolywiz — CS2 Stats

76561198255533408[U:1:295267680]Steam profile ↗✓ No bans

3,765Tracked matches47%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 9 · 1,744 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,744 → 1,744
+37Tracked matches · now 3,765
−13.3ppWin rate · 60.0% → 46.7%

Rating over time

Faceit ELO: 1,744 +0 10 Sept – 11 Sept · 2 observations
1,7441,744peak 1,74410 Sept11 Sept
1,744Highest Faceit ELO seen on CSDB
28Days played since 2026-05-31

Faceit ELO

  • At peak — 1,744
  • Next: Level 9 at 1,751 — 7 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-10
  • Level 7 first seen 2026-09-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGLolywizFACEITLevel 9 · 1,744 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,744csdb.gg/stats

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Performance scores

Aim82
Positioning49
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLLWLLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.4pp headshot accuracy · −39ms 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 -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 537ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 585ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim8.2
Utility6.9
Positioning4.9
Opening Duels0.4
Clutch3.8

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 50% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms 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
Positioning4.9
Utility6.9
Mechanics7.9
Opening Duels2.5
Win Impact3.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time592ms+18ms
first ⅓ avg 575ms → last ⅓ avg 592ms
Headshot accuracy14.6%−0.0%
first ⅓ avg 14.6% → last ⅓ avg 14.6%

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

0.13Best match rating · 13–5 · dust2, 19 Jul →
34%Best headshot accuracy · 13–7 · dust2, 22 Aug →
391msFastest reaction time · 13–7 · anubis, 19 Aug →
13–2Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 63% over 24ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2415–963%0.00
mirageA1810–856%0.00
dust2A1710–759%0.00
anubisB147–750%-0.00
ancientD103–730%-0.02
cacheB84–450%-0.01
nukeA85–363%0.02
overpass—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,400Matches
52%Win rate
1.03Avg K/D
74.6ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno21855%1.1015.7
Mirage18152%0.9813.6
Dust217741%1.0014.6
Anubis16249%1.0715.1
Nuke13061%1.1215.8
Ancient10350%0.9213.2
Vertigo3145%0.9514.9
Overpass2744%1.0815.5

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.

14.3%Headshot accuracy
41.6%Accuracy (enemy spotted)
41.7%Spray accuracy
85.5%Counter-strafing
9.3°Preaim
584msReaction time
50.3%T opening success
26.8%CT opening success
0.69Enemies flashed / flash
7.3%Flash assists
11.06HE damage / grenade
12.90Flashes / 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 14.2604% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.8396% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0222%31 Oct →
dust29–13-0.0514%30 Oct →
dust23–13-0.0429%30 Oct →
anubis5–130.0110%30 Oct →
inferno16–140.018%30 Oct →
anubis9–13-0.0310%30 Oct →
mirage1–13-0.0011%26 Oct →
mirage13–40.0616%26 Oct →
dust27–13-0.0225%26 Oct →
anubis13–70.0414%26 Oct →
cache13–30.0417%26 Oct →
anubis13–60.048%26 Oct →
mirage13–20.0718%26 Oct →
mirage13–8-0.017%25 Oct →
cache19–16-0.0313%25 Oct →
mirage11–13-0.0014%17 Oct →
dust211–13-0.0318%17 Oct →
mirage11–13-0.055%16 Oct →
dust213–7-0.018%16 Oct →
anubis9–130.017%16 Oct →
mirage10–130.0622%16 Oct →
inferno8–13-0.0628%15 Oct →
anubis13–3-0.0210%15 Oct →
ancient10–130.029%15 Oct →
anubis7–13-0.0123%27 Sept →
inferno16–14-0.059%27 Sept →
anubis8–13-0.0623%26 Sept →
anubis13–11-0.0113%26 Sept →
cache6–13-0.0321%19 Sept →
nuke13–7-0.029%19 Sept →
mirage13–8-0.0615%19 Sept →
ancient13–10-0.0310%9 Sept →
dust213–10-0.0118%26 Aug →
mirage8–13-0.0514%25 Aug →
inferno13–30.0429%22 Aug →
anubis5–13-0.0719%22 Aug →
mirage16–130.1017%22 Aug →
inferno5–13-0.0418%22 Aug →
ancient4–13-0.0411%22 Aug →
dust213–8-0.0021%22 Aug →
mirage13–11-0.0422%22 Aug →
dust213–7-0.0034%22 Aug →
ancient7–13-0.0713%22 Aug →
mirage10–130.0310%22 Aug →
inferno13–50.0525%21 Aug →
nuke13–110.0724%21 Aug →
dust213–20.0619%21 Aug →
inferno9–13-0.0213%21 Aug →
inferno4–130.0113%21 Aug →
dust213–50.0014%21 Aug →
inferno13–90.0713%19 Aug →
ancient13–110.0222%19 Aug →
anubis13–70.0412%19 Aug →
cache10–130.0321%19 Aug →
dust24–13-0.0517%18 Aug →
dust213–90.0515%18 Aug →
ancient11–130.0025%18 Aug →
inferno13–9-0.0410%2 Aug →
nuke13–40.068%2 Aug →
dust213–6-0.0013%2 Aug →
inferno13–9-0.048%26 Jul →
anubis8–130.0120%26 Jul →
inferno13–60.0821%26 Jul →
inferno7–13-0.018%26 Jul →
mirage13–6-0.0317%26 Jul →
inferno16–13-0.0014%26 Jul →
cache8–13-0.107%26 Jul →
mirage13–10-0.0410%26 Jul →
anubis13–60.0219%23 Jul →
mirage13–90.0512%23 Jul →
mirage10–130.0015%23 Jul →
dust213–8-0.0118%23 Jul →
inferno10–13-0.0127%19 Jul →
ancient13–110.0516%19 Jul →
nuke11–13-0.0223%19 Jul →
inferno13–70.0212%19 Jul →
cache13–50.0234%19 Jul →
inferno13–80.0213%19 Jul →
inferno13–110.0210%19 Jul →
dust213–50.1322%19 Jul →
ancient13–16-0.0812%18 Jul →
cache3–13-0.0716%14 Jul →
cache13–70.1013%14 Jul →
anubis13–90.0114%13 Jun →
mirage10–13-0.0716%13 Jun →
ancient8–13-0.042%12 Jun →
inferno10–130.0414%7 Jun →
ancient10–13-0.0513%7 Jun →
nuke6–130.0316%6 Jun →
inferno11–13-0.0113%6 Jun →
dust26–130.0011%6 Jun →
inferno13–70.0017%6 Jun →
inferno22–190.0114%6 Jun →
mirage13–30.0418%6 Jun →
nuke11–13-0.0610%31 May →
overpass13–110.015%31 May →
inferno13–16-0.029%31 May →
nuke13–90.016%31 May →
nuke13–70.1018%31 May →
dust211–130.0314%31 May →

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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