sir lancelo

sir lancelo — CS2 Stats

76561198982294552[U:1:1022028824]Steam profile ↗✓ No bans

2,104Tracked matches47%Win rate2021Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating17,469Purple band · top ~18.6% of ranked players (population est.)
FaceitLevel 7 · 1,757 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Aug 2026 (75 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: 17,469 +1,517 10 Jun – 3 Aug · 15 days played
15,23818,504peak 18,50410 Jun3 Aug
18,504Peak Premier in tracked matches
1,757Highest Faceit ELO seen on CSDB
43Days played since 2026-06-06

Faceit ELO

  • At peak — 1,757
  • Next: Level 10 at 2,001 — 244 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 1,035 below peak (18,504)
  • +1,666 over 30 days · improving
  • Next: Pink band at 20,000 — 2,531 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGsir lanceloFACEITLevel 7 · 1,757 ELOSTANDINGTop 42.3% of rankedPREMIER17,469 · Purple bandPEAK ELO1,757csdb.gg/stats

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Performance scores

Aim56
Positioning49
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLLLWLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · −79ms reaction

Win rate up 20pp 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 16%
  • Avg reaction 523ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 498ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

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 (+1.7 against its own average).

Aim5.6
Utility5.8
Positioning4.9
Opening Duels2.1
Clutch3.6

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 82% 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

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning4.9
Utility5.8
Mechanics4.0
Opening Duels1.3
Win Impact3.9

Composite 4.6/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time551ms−20ms
first ⅓ avg 571ms → last ⅓ avg 551ms
Headshot accuracy14.2%−2.0%
first ⅓ avg 16.2% → last ⅓ avg 14.2%

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

0.17Best match rating · 13–0 · mirage, 18 Jun →
30%Best headshot accuracy · 13–2 · mirage, 21 Aug →
359msFastest reaction time · 11–13 · ancient, 4 Oct →
13–0Biggest win · nuke, 22 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 65% over 31infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S3120–1165%-0.00
mirageB199–1047%-0.01
ancientA1810–856%-0.01
nukeB147–750%-0.00
infernoD82–625%-0.01
anubisB63–350%-0.01
vertigo—20–20%-0.04
cache—20–20%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,247Matches
51%Win rate
0.98Avg K/D
70.8ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage26345%0.9413.0
Dust226354%1.0814.6
Ancient20451%0.9813.4
Nuke12150%0.9213.5
Anubis10354%0.9013.8
Inferno8747%0.8412.3
Vertigo1145%0.7711.2
Overpass1136%0.7613.6

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.

14.5%Headshot accuracy
31.6%Accuracy (enemy spotted)
30.4%Spray accuracy
67.9%Counter-strafing
8.4°Preaim
533msReaction time
33.0%T opening success
37.5%CT opening success
0.69Enemies flashed / flash
6.1%Flash assists
7.77HE damage / grenade
8.92Flashes / 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 14.4664% — 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 33.0051% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0515%4 Oct →
dust23–13-0.1020%4 Oct →
dust215–190.0316%1 Oct →
dust213–8-0.0512%1 Oct →
inferno8–13-0.0518%15 Sept →
dust213–60.0911%14 Sept →
mirage13–20.0430%21 Aug →
ancient13–11-0.009%20 Aug →
mirage8–130.0210%19 Aug →
ancient13–110.0419%18 Aug →
vertigo9–13-0.0415%8 Aug →
vertigo11–13-0.0514%8 Aug →
dust213–9-0.039%3 Aug →
ancient19–17-0.028%31 Jul →
inferno6–13-0.0412%30 Jul →
dust213–1-0.0720%30 Jul →
mirage8–13-0.029%30 Jul →
inferno1–13-0.0722%28 Jul →
dust210–130.027%27 Jul →
mirage4–13-0.0816%27 Jul →
mirage7–130.0826%27 Jul →
dust213–10-0.0027%26 Jul →
dust213–9-0.0310%26 Jul →
ancient13–8-0.024%26 Jul →
nuke13–00.009%22 Jul →
dust216–12-0.0617%22 Jul →
anubis13–11-0.0410%22 Jul →
ancient9–13-0.0622%19 Jul →
mirage8–130.0218%19 Jul →
inferno7–13-0.0510%18 Jul →
mirage13–110.0517%18 Jul →
mirage13–1-0.010%18 Jul →
anubis2–13-0.056%18 Jul →
dust213–110.0318%18 Jul →
mirage8–130.0127%18 Jul →
inferno13–80.0113%18 Jul →
anubis15–15-0.0212%17 Jul →
nuke13–60.0822%17 Jul →
anubis13–70.0924%17 Jul →
ancient13–70.1117%17 Jul →
mirage13–5-0.018%17 Jul →
dust213–90.0516%16 Jul →
ancient6–13-0.017%15 Jul →
dust213–6-0.047%15 Jul →
mirage4–13-0.0819%15 Jul →
dust213–110.0316%14 Jul →
inferno13–40.1325%14 Jul →
ancient7–13-0.0017%14 Jul →
cache5–13-0.089%14 Jul →
mirage13–16-0.0112%13 Jul →
nuke13–160.0213%13 Jul →
dust213–100.0724%13 Jul →
mirage13–10-0.0723%13 Jul →
nuke12–160.0122%13 Jul →
dust213–50.0517%12 Jul →
nuke13–80.0116%12 Jul →
mirage8–13-0.0422%12 Jul →
inferno7–13-0.0313%11 Jul →
ancient9–10.018%11 Jul →
nuke13–20.1024%11 Jul →
inferno8–13-0.008%10 Jul →
cache6–13-0.0314%10 Jul →
mirage13–11-0.059%10 Jul →
mirage13–11-0.0412%10 Jul →
dust29–13-0.035%10 Jul →
nuke13–4-0.0318%10 Jul →
dust28–13-0.0110%10 Jul →
dust214–160.0619%9 Jul →
ancient8–13-0.0520%9 Jul →
nuke8–130.0510%9 Jul →
dust213–90.0220%9 Jul →
nuke13–7-0.0211%9 Jul →
dust214–160.0111%8 Jul →
nuke7–13-0.049%30 Jun →
nuke14–16-0.0216%30 Jun →
dust213–50.0521%30 Jun →
dust27–13-0.0317%29 Jun →
mirage9–13-0.033%29 Jun →
dust213–50.0410%28 Jun →
dust213–8-0.0320%27 Jun →
ancient13–40.0323%27 Jun →
anubis14–16-0.0513%26 Jun →
dust213–11-0.0412%26 Jun →
anubis13–80.0119%26 Jun →
dust27–13-0.0321%26 Jun →
dust211–130.0121%26 Jun →
ancient10–13-0.036%25 Jun →
nuke13–7-0.0414%23 Jun →
nuke9–13-0.0729%23 Jun →
mirage13–10-0.0416%23 Jun →
dust213–6-0.0925%22 Jun →
mirage13–00.1718%18 Jun →
dust211–13-0.0415%17 Jun →
ancient10–13-0.0716%16 Jun →
dust213–60.0422%16 Jun →
ancient13–8-0.0324%13 Jun →
ancient9–13-0.0211%13 Jun →
nuke6–13-0.0818%12 Jun →
ancient13–100.0118%10 Jun →
ancient13–7-0.049%6 Jun →

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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