Lor3nz

Lor3nz — CS2 Stats

DK76561198002210188[U:1:41944460]Steam profile ↗✓ No bans

1,297Tracked matches34%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 7 · 1,311 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,938 -882 7 Jun – 18 Jan · 4 days played
11,51413,222peak 13,2227 Jun18 Jan
13,222Peak Premier in tracked matches
1,311Highest Faceit ELO seen on CSDB
67Days played since 2025-05-29

Faceit ELO

  • At peak — 1,311
  • Next: Level 7 at 1,351 — 40 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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

Share this profile

CSDB.GGLor3nzFACEITLevel 7 · 1,311 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,311csdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY40–58–2Last 10040%Win rateLWWLWWWLWL

Last 10 vs previous 10: +50pp win rate · +0.07 avg rating · −0.1pp headshot accuracy · −43ms reaction

Win rate up 50pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 17%
  • Avg reaction 609ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 631ms

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 (+1.8 against its own average).

Aim7.4
Utility6.5
Positioning5.0
Opening Duels3.1
Clutch4.0

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

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

Aim7.4
Positioning5.0
Utility6.5
Mechanics6.1
Opening Duels3.1
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time631ms−46ms
first ⅓ avg 677ms → last ⅓ avg 631ms
Headshot accuracy17.4%+2.6%
first ⅓ avg 14.8% → last ⅓ avg 17.4%

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

0.22Best match rating · 9–1 · nuke, 2 Jun →
45%Best headshot accuracy · 13–10 · inferno, 21 May →
453msFastest reaction time · 10–13 · mirage, 26 Sept →
13–1Biggest win · mirage, 19 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 57% over 14dust2Weakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeC2810–1836%0.02
infernoA148–657%0.03
mirageD124–833%0.02
dust2D111–109%0.01
overpassA74–357%0.01
office—42–250%-0.01
anubis—42–250%0.00
ancient—31–233%-0.01
alpine—31–233%-0.02
italy—33–0100%0.02
cache—21–150%0.01
vertigo—20–20%-0.00
warden—10–10%0.02
cache_b—10–10%0.03
palacio—10–10%0.03
golden—11–0100%-0.04
train—11–0100%0.12
jura—10–10%0.01
grail—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

994Matches
50%Win rate
1.08Avg K/D
78.3ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno11650%0.9915.3
Nuke11159%1.1116.1
Mirage7247%1.1515.7
Anubis4745%1.0115.2
Dust23256%1.0815.0
Ancient3027%0.9014.9
Overpass2442%1.0014.1
Cache2070%1.0515.0

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.

17.4%Headshot accuracy
39.6%Accuracy (enemy spotted)
44.6%Spray accuracy
77.6%Counter-strafing
11.0°Preaim
617msReaction time
38.6%T opening success
46.4%CT opening success
0.57Enemies flashed / flash
6.4%Flash assists
10.42HE damage / grenade
8.71Flashes / 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. 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 38.6269% — below the 40% mark we flag

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.

9% win rate across 11 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
nuke11–13-0.0011%14 Oct →
nuke13–6-0.0128%11 Oct →
nuke16–130.0915%9 Oct →
mirage10–130.019%26 Sept →
mirage13–20.1313%26 Sept →
nuke13–30.0229%25 Sept →
inferno13–70.1511%25 Sept →
dust29–130.1016%25 Sept →
nuke13–40.0922%15 Sept →
mirage5–130.0311%15 Sept →
nuke9–130.0211%13 Sept →
cache13–160.0110%12 Sept →
mirage8–130.0026%31 Aug →
ancient10–13-0.0413%24 Aug →
office4–13-0.0735%20 Aug →
inferno3–13-0.0419%13 Aug →
mirage7–13-0.0310%10 Aug →
cache13–40.0113%7 Aug →
nuke11–13-0.0016%7 Aug →
vertigo12–160.0114%7 Aug →
mirage13–110.0013%5 Aug →
inferno13–100.0045%21 May →
nuke10–130.0334%5 May →
alpine9–130.0027%6 Apr →
ancient15–150.0710%5 Apr →
anubis11–130.0120%5 Apr →
warden11–130.0217%2 Apr →
office13–11-0.0213%2 Apr →
nuke10–130.0116%2 Apr →
nuke9–13-0.0010%1 Apr →
nuke13–16-0.0311%25 Mar →
inferno13–60.168%25 Mar →
alpine7–13-0.0220%17 Mar →
alpine2–1-0.040%17 Mar →
italy13–100.0421%16 Mar →
italy13–100.0321%15 Mar →
italy13–9-0.009%15 Mar →
nuke10–130.0417%4 Mar →
overpass13–50.0910%4 Mar →
nuke10–130.0517%3 Mar →
inferno11–13-0.0018%26 Feb →
dust28–13-0.037%25 Feb →
nuke8–130.0112%25 Feb →
mirage11–130.0120%18 Feb →
nuke13–10-0.0114%18 Feb →
mirage13–110.0118%18 Feb →
overpass9–13-0.0210%16 Feb →
nuke7–13-0.0320%13 Feb →
office8–130.0422%12 Feb →
inferno19–16-0.0115%12 Feb →
inferno13–90.135%18 Jan →
anubis13–90.0510%15 Jan →
office8–10.0118%4 Jan →
overpass13–8-0.009%30 Dec →
nuke13–100.0112%30 Dec →
dust213–40.0419%26 Dec →
inferno6–130.0315%19 Dec →
mirage13–10.0629%19 Dec →
dust210–13-0.007%17 Dec →
nuke8–13-0.0721%17 Dec →
nuke13–60.0611%15 Dec →
anubis5–13-0.0420%14 Dec →
vertigo9–13-0.0213%14 Dec →
inferno5–13-0.0611%14 Dec →
cache_b3–130.0322%14 Dec →
overpass7–13-0.0519%13 Dec →
nuke11–130.0412%2 Dec →
inferno13–50.1510%25 Nov →
nuke13–40.068%25 Nov →
mirage10–130.0121%28 Oct →
palacio11–130.0312%27 Oct →
golden13–10-0.0412%27 Oct →
dust21–13-0.0416%16 Oct →
mirage15–15-0.0015%14 Oct →
inferno6–00.0429%14 Oct →
overpass13–70.0016%11 Oct →
nuke7–130.0517%30 Sept →
overpass13–11-0.0213%30 Sept →
nuke13–110.0010%28 Sept →
dust29–130.0615%19 Sept →
nuke9–13-0.0320%18 Sept →
dust29–13-0.0414%14 Sept →
ancient16–14-0.0514%2 Sept →
inferno10–13-0.028%17 Aug →
nuke2–60.0811%31 Jul →
dust27–130.0718%31 Jul →
mirage4–130.0017%31 Jul →
train13–70.1215%30 Jul →
dust212–16-0.029%30 Jul →
inferno5–13-0.045%15 Jun →
anubis16–12-0.0216%13 Jun →
dust23–130.0315%12 Jun →
overpass9–130.0712%12 Jun →
nuke8–130.0116%7 Jun →
jura8–130.0113%6 Jun →
inferno9–30.0121%2 Jun →
nuke9–10.2231%2 Jun →
grail13–60.0311%1 Jun →
dust211–13-0.0414%1 Jun →
nuke8–13-0.0815%29 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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