Lodex

Lodex — CS2 Stats

NO76561197970733529[U:1:10467801]Steam profile ↗✓ No bans

848Tracked matches48%Win rate2021Tracked since
CSDB Rating4.8 DevelopingClutch Specialist
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,746 +513 5 Feb – 16 Apr · 30 days played
7,6279,651peak 9,6515 Feb16 Apr
9,703Peak Premier in tracked matches
57Days played since 2026-02-05

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

Performance scores

Aim40
Positioning52
Utility69

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLWLLLWLTLW

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −1.6pp headshot accuracy · +73ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 650ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 595ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim4.0
Utility6.9
Positioning5.2
Opening Duels2.0
Clutch10.0

Reliable in 1v1s

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 61% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms 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

Aim4.0
Positioning5.2
Utility6.9
Mechanics4.9
Opening Duels3.8
Win Impact4.4

Composite 4.8/10 (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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time558ms−68ms
first ⅓ avg 626ms → last ⅓ avg 558ms
Headshot accuracy15.3%−1.9%
first ⅓ avg 17.2% → last ⅓ avg 15.3%

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

0.19Best match rating · 13–6 · mirage, 8 Apr →
32%Best headshot accuracy · 13–7 · nuke, 29 Sept →
414msFastest reaction time · 1–13 · mirage, 22 Sept →
13–2Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 59% over 22dust2Weakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.02
dust2C198–1142%0.00
infernoC198–1142%-0.00
ancientB147–750%0.02
nukeB137–654%-0.00
anubisA116–555%0.01
cache—20–20%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
38%Win rate
1.23Avg K/D
77.1ADR
27%Headshot %

Clutches & streaks

75%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%2.1013.5
Dust2250%0.7711.0
Mirage250%1.1711.0
Nuke10%1.1820.0

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.

15.2%Headshot accuracy
30.5%Accuracy (enemy spotted)
28.6%Spray accuracy
72.2%Counter-strafing
12.3°Preaim
572msReaction time
52.7%T opening success
37.3%CT opening success
0.69Enemies flashed / flash
10.7%Flash assists
13.08HE damage / grenade
6.86Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3293° — above the 12° mark we flag

    Aim Training →
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.

42% win rate across 19 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
dust210–13-0.078%25 Oct →
inferno16–140.027%24 Oct →
mirage5–130.0115%20 Oct →
dust24–13-0.0319%20 Oct →
inferno5–13-0.025%13 Oct →
inferno13–40.0126%12 Oct →
cache1–13-0.0717%11 Oct →
dust215–150.0416%11 Oct →
ancient5–130.0018%9 Oct →
dust216–13-0.0317%9 Oct →
cache9–13-0.0621%8 Oct →
mirage13–5-0.0014%8 Oct →
inferno13–2-0.0131%8 Oct →
nuke13–110.0019%4 Oct →
inferno13–100.0215%4 Oct →
inferno13–70.0212%29 Sept →
mirage0–13-0.054%29 Sept →
nuke13–7-0.0032%29 Sept →
mirage13–70.059%27 Sept →
mirage1–13-0.066%22 Sept →
inferno8–13-0.108%16 Sept →
anubis4–13-0.043%13 Jun →
ancient13–5-0.0023%13 Jun →
mirage9–13-0.0123%13 Jun →
mirage13–70.0513%5 Jun →
dust211–130.1016%5 Jun →
nuke13–90.0124%25 Apr →
mirage7–13-0.077%16 Apr →
dust27–130.029%13 Apr →
inferno16–12-0.0218%13 Apr →
ancient10–130.0016%12 Apr →
mirage13–110.0720%11 Apr →
dust213–40.0415%10 Apr →
mirage10–30.0321%10 Apr →
inferno13–100.0021%10 Apr →
mirage13–60.1923%8 Apr →
mirage13–6-0.0213%7 Apr →
anubis13–5-0.0019%7 Apr →
anubis13–50.0718%6 Apr →
inferno7–130.0315%1 Apr →
inferno9–130.0512%1 Apr →
dust213–110.0118%30 Mar →
anubis13–80.0818%29 Mar →
inferno8–13-0.016%24 Mar →
dust213–20.0629%22 Mar →
nuke16–13-0.0010%22 Mar →
inferno3–13-0.0418%20 Mar →
nuke2–60.0223%20 Mar →
ancient13–80.0110%17 Mar →
inferno4–13-0.0512%17 Mar →
ancient8–13-0.0013%17 Mar →
mirage13–80.1021%13 Mar →
ancient13–11-0.0010%13 Mar →
anubis11–13-0.0710%12 Mar →
dust23–13-0.0223%12 Mar →
ancient7–130.0319%10 Mar →
dust21–13-0.116%9 Mar →
ancient13–80.0713%9 Mar →
dust29–130.0215%9 Mar →
nuke6–130.0312%8 Mar →
mirage11–130.0911%7 Mar →
ancient2–130.086%6 Mar →
dust211–13-0.007%6 Mar →
inferno5–130.0216%6 Mar →
mirage7–130.0123%5 Mar →
nuke13–20.0016%4 Mar →
dust213–110.0117%4 Mar →
inferno5–130.0020%4 Mar →
nuke7–13-0.0919%3 Mar →
mirage13–5-0.0317%3 Mar →
dust213–80.0112%2 Mar →
anubis3–130.0532%2 Mar →
ancient13–70.0822%28 Feb →
ancient13–70.0713%27 Feb →
dust213–30.075%25 Feb →
anubis13–100.0117%25 Feb →
dust25–13-0.0121%24 Feb →
inferno13–10-0.0119%24 Feb →
ancient6–13-0.018%24 Feb →
mirage13–7-0.0618%24 Feb →
nuke11–130.0014%21 Feb →
nuke3–130.0217%21 Feb →
anubis11–130.0613%20 Feb →
nuke13–60.0412%18 Feb →
anubis13–5-0.0420%18 Feb →
mirage13–50.0620%18 Feb →
dust28–13-0.0624%16 Feb →
mirage1–13-0.0415%16 Feb →
anubis4–13-0.0325%13 Feb →
mirage13–20.1126%13 Feb →
nuke11–13-0.0113%12 Feb →
inferno11–130.088%12 Feb →
ancient13–40.0017%12 Feb →
nuke13–5-0.0213%11 Feb →
dust213–60.0413%11 Feb →
anubis13–90.0120%10 Feb →
inferno7–13-0.0720%8 Feb →
mirage13–90.0417%6 Feb →
mirage6–130.0628%6 Feb →
ancient11–13-0.0311%5 Feb →

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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