Logicalstep

Logicalstep — CS2 Stats

76561197970763520[U:1:10497792]Steam profile ↗✓ No bans

1,080Tracked matches48%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating9,883Light Blue band · top ~55.5% of ranked players (population est.)
FaceitLevel 3 · 760 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,883 -1,856 24 Jul – 8 Oct · 52 days played
9,88314,241peak 14,24124 Jul8 Oct
Faceit ELO: 760 +0 4 Sept – 13 Sept · 3 observations
760760peak 7604 Sept13 Sept
14,252Peak Premier in tracked matches
760Highest Faceit ELO seen on CSDB
58Days played since 2026-07-18

Faceit ELO

  • At peak — 760
  • Next: Level 4 at 901 — 141 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-04
  • Level 2 first seen 2026-09-04

Premier CS Rating

  • 4,358 below peak (14,241)
  • -1,002 over 30 days · declining
  • -1,856 over 90 days
  • Next: Blue band at 10,000 — 117 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGLogicalstepFACEITLevel 3 · 760 ELOSTANDINGTop 90.6% of rankedPREMIER9,883 · Light Blue bandPEAK ELO760csdb.gg/stats

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Performance scores

Aim39
Positioning42
Utility59

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateLLWLLLLLWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · −25ms reaction

Win rate down 30pp 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 0.01
  • Avg headshot accuracy 8%
  • Avg reaction 567ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 574ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 586ms

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 (+2.1 against its own average).

Aim3.9
Utility5.9
Positioning4.2
Opening Duels0.2
Clutch5.0

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

Twistzz

Plays most like Twistzz 68% 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

Reaction time. 570ms 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

Aim3.9
Positioning4.2
Utility5.9
Mechanics4.5
Opening Duels1.1
Win Impact4.4

Composite 3.7/10 (Learning), 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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time577ms−40ms
first ⅓ avg 617ms → last ⅓ avg 577ms
Headshot accuracy9.5%−2.8%
first ⅓ avg 12.3% → last ⅓ avg 9.5%

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

0.21Best match rating · 13–2 · nuke, 28 Jul →
24%Best headshot accuracy · 10–13 · dust2, 19 Jul →
438msFastest reaction time · 1–9 · ancient, 30 Aug →
13–0Biggest win · mirage, 25 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 73% over 11ancientWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%0.01
ancientC187–1139%-0.02
mirageC177–1041%-0.01
infernoB157–847%-0.01
nukeS118–373%0.02
anubisB105–550%-0.01
cacheC52–340%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
39%Win rate
0.98Avg K/D
78.9ADR
36%Headshot %

Clutches & streaks

45%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22148%1.0714.8
Mirage1436%1.0213.1
Inferno1060%1.1416.1
Anubis812%0.7912.5
Nuke617%0.8213.0
Ancient30%1.0716.3
Vertigo10%0.509.0
Train10%0.5910.0

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.

9.5%Headshot accuracy
30.4%Accuracy (enemy spotted)
34.0%Spray accuracy
70.1%Counter-strafing
11.0°Preaim
570msReaction time
34.3%T opening success
34.5%CT opening success
0.57Enemies flashed / flash
4.2%Flash assists
11.87HE damage / grenade
8.78Flashes / 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 9.4545% — below the 15% mark we flag

    Aim Training →
  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 34.2636% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0019%8 Oct →
inferno8–130.015%7 Oct →
dust213–100.019%6 Oct →
ancient6–130.075%5 Oct →
mirage5–13-0.053%4 Oct →
ancient11–130.047%3 Oct →
ancient10–130.0212%3 Oct →
inferno9–13-0.0312%2 Oct →
mirage13–80.0112%2 Oct →
mirage13–80.0411%2 Oct →
cache7–130.0315%30 Sept →
cache13–6-0.018%29 Sept →
mirage13–70.0810%28 Sept →
nuke7–13-0.039%27 Sept →
dust213–70.049%27 Sept →
dust213–110.0512%20 Sept →
anubis9–13-0.0013%18 Sept →
nuke13–60.009%18 Sept →
anubis10–50.004%17 Sept →
dust214–160.078%16 Sept →
nuke13–100.089%15 Sept →
dust29–13-0.0210%14 Sept →
anubis5–13-0.0610%13 Sept →
ancient13–11-0.076%12 Sept →
mirage13–30.078%12 Sept →
anubis16–14-0.056%11 Sept →
inferno13–60.0110%11 Sept →
ancient15–150.037%10 Sept →
dust27–13-0.0213%9 Sept →
inferno9–130.0116%8 Sept →
mirage4–13-0.0212%8 Sept →
dust213–80.079%7 Sept →
nuke13–50.029%6 Sept →
anubis13–60.026%6 Sept →
cache9–13-0.0713%5 Sept →
dust213–60.0310%5 Sept →
mirage8–13-0.0611%4 Sept →
ancient1–9-0.108%30 Aug →
ancient13–8-0.057%30 Aug →
inferno12–16-0.0112%30 Aug →
dust29–13-0.0116%29 Aug →
inferno10–130.0114%28 Aug →
nuke8–13-0.0312%26 Aug →
mirage12–16-0.0421%25 Aug →
mirage13–00.057%25 Aug →
cache14–160.0313%24 Aug →
dust213–40.0219%24 Aug →
nuke13–90.026%23 Aug →
dust23–13-0.0014%23 Aug →
inferno13–7-0.036%22 Aug →
dust213–40.0410%22 Aug →
inferno13–60.0115%22 Aug →
dust213–90.0111%20 Aug →
anubis9–130.079%20 Aug →
nuke13–50.0316%19 Aug →
dust213–00.077%19 Aug →
dust26–13-0.058%18 Aug →
inferno13–7-0.0710%18 Aug →
ancient2–13-0.086%17 Aug →
ancient13–2-0.0010%17 Aug →
mirage10–13-0.035%16 Aug →
inferno13–90.126%15 Aug →
mirage10–13-0.0213%15 Aug →
mirage8–13-0.0113%14 Aug →
inferno7–13-0.067%11 Aug →
dust213–9-0.0216%10 Aug →
dust210–13-0.0611%10 Aug →
anubis5–13-0.066%9 Aug →
dust211–130.0514%8 Aug →
mirage7–13-0.048%8 Aug →
inferno13–6-0.0113%7 Aug →
ancient10–13-0.1112%7 Aug →
dust213–3-0.0311%7 Aug →
mirage16–12-0.048%29 Jul →
anubis16–12-0.009%29 Jul →
dust213–50.039%28 Jul →
nuke13–20.2111%28 Jul →
ancient13–11-0.0112%28 Jul →
ancient11–130.008%26 Jul →
anubis13–40.016%25 Jul →
inferno10–13-0.035%25 Jul →
ancient15–15-0.0213%25 Jul →
nuke13–9-0.0112%24 Jul →
mirage11–13-0.0711%24 Jul →
dust28–13-0.0021%24 Jul →
nuke6–13-0.060%23 Jul →
anubis4–13-0.0212%23 Jul →
ancient13–11-0.0412%22 Jul →
ancient13–8-0.0213%22 Jul →
ancient7–130.0115%22 Jul →
inferno11–13-0.0313%21 Jul →
nuke13–11-0.0219%21 Jul →
dust23–13-0.0718%21 Jul →
mirage10–13-0.0116%20 Jul →
ancient16–140.0116%20 Jul →
mirage13–2-0.0311%20 Jul →
dust28–13-0.0214%19 Jul →
dust210–130.0424%19 Jul →
inferno13–10-0.0417%18 Jul →
cache13–8-0.0715%18 Jul →

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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