LidoSenpai

LidoSenpai — CS2 Stats

JP76561198041245977[U:1:80980249]Steam profile ↗✓ No bans

733Tracked matches52%Win rate2020Tracked since
1,341Hours in CS3Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating18,627Top 50% of 210,367 CSDB-tracked playersPurple band · top ~14% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (2 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: 18,627 +1,144 24 Apr – 23 Oct · 36 days played
15,45320,372peak 20,37224 Apr23 Oct
20,374Peak Premier in tracked matches
48Days played since 2026-04-24

Premier CS Rating

  • 1,745 below peak (20,372)
  • -596 over 30 days · declining
  • Next: Pink band at 20,000 — 1,373 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,124), 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 2 medianLevel 3 medianvs Level 3
Headshot rate32.3%41.3%41.8%9.5% short
Shot accuracy12.4%12.7%12.2%meets
Kill/death ratio0.700.950.980.28 short
Match win rate42.6%42.6%43.3%meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLidoSenpaiFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER18,627 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim54
Positioning35
Utility20

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateLWLLLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +3.1pp headshot accuracy · −7ms 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 -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 600ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 610ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 614ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim5.4
Utility2.0
Positioning3.5
Opening Duels0.0

Limited utility dependence

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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 613ms 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

Aim5.4
Positioning3.5
Utility2.0
Mechanics6.5
Opening Duels0.2
Win Impact5.6

Composite 4.2/10 (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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time608ms−56ms
first ⅓ avg 664ms → last ⅓ avg 608ms
Headshot accuracy9.4%−2.4%
first ⅓ avg 11.8% → last ⅓ avg 9.4%

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

0.05Best match rating · 13–3 · mirage, 25 Sept →
25%Best headshot accuracy · 13–7 · cache, 8 May →
469msFastest reaction time · 4–7 · mirage, 9 Sept →
13–0Biggest win · mirage, 28 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 20dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.02
infernoA2012–860%-0.02
cacheB209–1145%-0.03
ancientD165–1131%-0.04
dust2D81–713%-0.05
nukeD51–420%-0.03
overpass—41–325%-0.08
anubis—31–233%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,150Lifetime kills
0.70K/D
1,820Matches
42.6%Match win rate · Top 50% of Level 2 players
32.3%Headshot %
12.4%Shot accuracy
2,326MVPs
836Hours (in match)
2,525Bombs planted
446Bombs defused

Most-used weapons

Lifetime map wins

4,386inferno
1,384dust2
1,023nuke
487train
340vertigo
301cbble
27office
3safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.7%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.5%Spray accuracy
79.2%Counter-strafing
9.7°Preaim
613msReaction time
31.5%T opening success
28.2%CT opening success
0.21Enemies flashed / flash
1.2%Flash assists
10.04HE damage / grenade
0.72Flashes / 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 8.6537% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2072 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.5421% — 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.

13% win rate across 8 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
dust27–13-0.066%23 Oct →
inferno13–30.0119%23 Oct →
ancient10–13-0.0315%20 Oct →
cache6–13-0.0510%18 Oct →
cache3–13-0.0915%11 Oct →
nuke11–130.044%11 Oct →
ancient16–14-0.067%11 Oct →
dust213–16-0.044%11 Oct →
mirage5–13-0.0619%10 Oct →
mirage16–14-0.038%10 Oct →
ancient5–13-0.126%9 Oct →
anubis13–11-0.039%9 Oct →
dust212–12-0.018%9 Oct →
anubis11–13-0.049%7 Oct →
cache13–5-0.028%6 Oct →
dust211–13-0.0410%6 Oct →
mirage13–9-0.028%29 Sept →
ancient16–14-0.056%28 Sept →
cache13–8-0.025%25 Sept →
mirage13–30.059%25 Sept →
ancient8–13-0.038%25 Sept →
cache13–11-0.054%25 Sept →
mirage11–130.025%22 Sept →
ancient13–8-0.015%21 Sept →
mirage13–3-0.029%21 Sept →
mirage13–20.0418%21 Sept →
inferno13–10-0.0812%19 Sept →
dust213–5-0.029%19 Sept →
mirage4–7-0.0122%9 Sept →
inferno10–13-0.053%9 Sept →
inferno6–13-0.034%2 Sept →
ancient15–150.009%28 Aug →
inferno8–13-0.0620%28 Aug →
mirage13–00.000%28 Aug →
mirage13–100.0317%28 Aug →
nuke6–9-0.0214%28 Aug →
inferno9–70.037%28 Aug →
cache9–13-0.024%27 Aug →
anubis9–13-0.082%26 Aug →
nuke12–16-0.0614%26 Aug →
cache10–13-0.038%25 Aug →
cache16–140.0212%24 Aug →
inferno13–80.048%23 Aug →
mirage14–16-0.038%22 Aug →
inferno5–13-0.0711%22 Aug →
inferno0–2-0.010%22 Aug →
ancient11–130.0219%22 Aug →
cache10–13-0.0115%20 Aug →
nuke11–13-0.086%19 Aug →
mirage13–1-0.046%19 Aug →
inferno13–11-0.0210%19 Aug →
inferno13–70.059%19 Aug →
mirage5–13-0.0319%19 Aug →
inferno6–13-0.0513%11 Aug →
mirage13–11-0.0116%10 Aug →
cache13–11-0.0413%10 Aug →
cache6–13-0.0312%9 Aug →
mirage13–4-0.075%9 Aug →
ancient9–13-0.027%9 Aug →
cache10–13-0.0111%9 Aug →
mirage15–150.0313%8 Aug →
ancient13–10-0.067%8 Aug →
inferno10–70.0412%8 Aug →
mirage7–13-0.0321%8 Aug →
inferno13–7-0.068%18 Jul →
mirage13–50.0322%14 Jul →
mirage5–13-0.0210%9 Jul →
inferno13–30.0111%9 Jul →
cache13–10-0.0411%9 Jul →
dust25–13-0.1313%7 Jul →
inferno13–9-0.0414%7 Jul →
mirage6–13-0.079%6 Jul →
overpass5–13-0.049%6 Jul →
cache13–11-0.038%4 Jul →
inferno4–13-0.124%4 Jul →
dust29–13-0.0316%4 Jul →
mirage3–13-0.1010%4 Jul →
inferno13–10-0.0313%4 Jul →
ancient3–13-0.0518%4 Jul →
ancient13–90.0110%3 Jul →
overpass3–13-0.118%3 Jul →
nuke13–9-0.018%16 Jun →
ancient4–13-0.0511%16 Jun →
cache12–12-0.048%13 Jun →
ancient12–12-0.0618%13 Jun →
overpass6–13-0.0612%9 Jun →
mirage16–12-0.0416%7 Jun →
cache13–6-0.0616%6 Jun →
cache10–13-0.038%6 Jun →
mirage2–13-0.0524%1 Jun →
ancient5–13-0.0419%1 Jun →
mirage6–13-0.0412%19 May →
overpass13–3-0.116%19 May →
cache13–70.0125%8 May →
inferno7–130.0511%5 May →
cache10–13-0.029%1 May →
cache12–12-0.015%1 May →
ancient7–13-0.090%26 Apr →
inferno13–8-0.037%26 Apr →
dust23–13-0.0823%24 Apr →

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 →

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