lect

lect — CS2 Stats

US76561198061514709[U:1:101248981]Steam profile ↗✓ No bans

1,831Tracked matches41%Win rate2020Tracked since
14,310Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating22,557Top 25% of 205,052 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#47508 of 252259 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,831 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,557 +10,020 17 Oct – 17 Sept · 8 days played
12,53722,844peak 22,84417 Oct17 Sept
22,955Peak Premier in tracked matches
58Days played since 2024-10-16

Premier CS Rating

  • 287 below peak (22,844)
  • -287 over 90 days
  • Next: Red band at 25,000 — 2,443 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple 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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 17 Sep 2026 and 16 Oct 2026.

Measured 17 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate61.3%50.9%
Shot accuracy19.6%13.7%
Kill/death ratio1.071.09
Match win rate43.5%48.4%

Share this profile

CSDB.GGlectFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,557 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning54
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWLLLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · −3.1pp headshot accuracy · −16ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 625ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 633ms

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 (+1.6 against its own average).

Aim6.9
Utility6.4
Positioning5.4
Opening Duels3.6
Clutch4.0

Effective flashes

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 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 607ms 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

Aim6.9
Positioning5.4
Utility6.4
Mechanics7.7
Opening Duels2.4
Win Impact2.1

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time608ms+27ms
first ⅓ avg 581ms → last ⅓ avg 608ms
Headshot accuracy24.9%+4.6%
first ⅓ avg 20.2% → last ⅓ avg 24.9%

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 · 13–5 · train, 15 Nov →
58%Best headshot accuracy · 13–4 · nuke, 19 Jun →
391msFastest reaction time · 4–13 · inferno, 31 Mar →
13–1Biggest win · nuke, 13 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

trainBest map · 89% over 9infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2315–865%0.01
ancientA2214–864%-0.01
dust2D154–1127%0.02
nukeA116–555%0.01
anubisB115–645%-0.01
trainS98–189%0.03
infernoD71–614%-0.00
overpass—22–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

401,116Lifetime kills
1.07K/D
7,891Matches
43.5%Match win rate
61.3%Headshot % · Top 25% of Level 10 players
19.6%Shot accuracy · Top 10% of Level 10 players
28,031MVPs
14,310Hours (in match)
13,762Bombs planted
5,843Bombs defused

Most-used weapons

AK-47188,560
AWP26,555
Glock-1812,541
Knife7,444
P2506,579
Tec-93,967

Lifetime map wins

21,027inferno
16,445dust2
7,558nuke
4,606vertigo
4,207train
3,619cbble
152militia
57office

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

Faceit stats

Combat

1,845Matches
54%Win rate
1.13Avg K/D
72.3ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
16Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage13451%0.9914.7
Ancient13258%1.0915.6
Anubis8744%0.8914.1
Nuke6050%0.9514.9
Dust23040%0.9113.9
Inferno2250%1.0414.4
Overpass2162%1.1515.1
Vertigo1963%0.9215.9

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.

24.8%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.9%Spray accuracy
84.5%Counter-strafing
11.4°Preaim
607msReaction time
34.1%T opening success
45.1%CT opening success
0.75Enemies flashed / flash
12.6%Flash assists
7.87HE damage / grenade
13.22Flashes / 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 34.0719% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0843%6 Jul →
ancient16–120.0118%6 Jul →
dust25–130.0318%6 Jul →
ancient2–13-0.0517%21 Jun →
inferno11–13-0.0210%19 Jun →
nuke13–40.0158%19 Jun →
mirage13–90.0217%19 Jun →
ancient8–130.0924%8 Jun →
nuke4–13-0.0226%8 Jun →
dust213–8-0.0515%8 Jun →
inferno13–80.0626%3 Jun →
mirage13–50.1016%3 Jun →
ancient10–130.0629%3 Jun →
dust216–12-0.0326%3 Jun →
inferno9–13-0.0322%2 Jun →
dust210–13-0.0239%2 Jun →
mirage13–70.0629%2 Jun →
dust215–15-0.0226%1 Jun →
dust28–130.1228%31 May →
nuke3–130.1037%31 May →
inferno10–130.0433%31 May →
ancient3–13-0.0412%31 May →
mirage13–60.0219%29 May →
dust210–13-0.0536%29 May →
ancient7–13-0.0917%26 May →
dust213–100.0924%26 May →
mirage14–16-0.0211%26 May →
mirage13–60.0623%26 May →
dust24–130.1131%29 Jan →
overpass13–90.1425%29 Jan →
mirage16–130.0217%29 Jan →
ancient13–20.0219%4 Dec →
overpass13–5-0.0329%13 Nov →
mirage5–13-0.0511%13 Nov →
nuke13–10.0629%13 Nov →
ancient13–11-0.0235%13 Nov →
mirage13–40.0925%31 Oct →
mirage13–11-0.0016%31 Oct →
mirage13–100.027%27 Oct →
nuke13–9-0.0224%23 Jul →
mirage8–130.0330%21 Jul →
anubis11–13-0.0114%16 Jul →
mirage13–11-0.0221%25 Jun →
dust212–160.0328%15 May →
anubis13–6-0.0113%25 Apr →
mirage13–20.0620%25 Apr →
dust27–130.0430%15 Apr →
anubis3–13-0.0521%15 Apr →
train13–40.0729%31 Mar →
inferno4–13-0.0126%31 Mar →
nuke13–9-0.0118%21 Feb →
ancient13–11-0.0010%20 Feb →
anubis4–13-0.049%11 Feb →
ancient16–14-0.018%5 Feb →
dust29–13-0.0614%30 Jan →
nuke7–13-0.0530%26 Jan →
ancient13–9-0.0126%26 Jan →
dust28–130.0216%23 Jan →
ancient4–13-0.0919%22 Jan →
nuke11–130.0116%21 Jan →
dust24–13-0.0217%17 Jan →
nuke13–10-0.0513%17 Jan →
ancient16–14-0.0425%16 Jan →
ancient0–13-0.1114%16 Jan →
ancient16–140.0122%13 Jan →
anubis8–13-0.0412%12 Jan →
ancient13–110.0320%2 Jan →
mirage7–130.0214%18 Dec →
mirage13–11-0.0216%17 Dec →
anubis8–130.0221%17 Dec →
inferno13–16-0.0113%11 Dec →
anubis13–90.0120%11 Dec →
anubis14–16-0.0012%11 Dec →
anubis13–9-0.0421%6 Dec →
ancient8–13-0.0418%5 Dec →
anubis13–8-0.0117%27 Nov →
mirage16–13-0.0318%27 Nov →
mirage9–130.0028%22 Nov →
mirage10–13-0.0421%20 Nov →
train13–60.0419%18 Nov →
mirage11–130.0120%18 Nov →
ancient16–130.0417%18 Nov →
train13–7-0.0233%15 Nov →
train13–50.2021%15 Nov →
ancient13–70.0418%15 Nov →
train13–60.0124%14 Nov →
train10–13-0.0522%14 Nov →
train13–40.0328%14 Nov →
train13–30.0123%14 Nov →
train13–90.0138%14 Nov →
nuke10–13-0.0024%13 Nov →
ancient13–6-0.0021%8 Nov →
inferno5–13-0.0511%6 Nov →
ancient13–11-0.0215%5 Nov →
mirage13–5-0.0219%30 Oct →
dust213–80.0928%27 Oct →
anubis16–140.0216%19 Oct →
ancient13–5-0.0212%18 Oct →
mirage13–10-0.0826%17 Oct →
nuke13–90.0312%16 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.