LandoCalrissian

LandoCalrissian — CS2 Stats

GS76561198053078535[U:1:92812807]Steam profile ↗VAC banned

540Tracked matches50%Win rate2020Tracked since
3,313Hours in CS8Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating19,615Top 50% of 212,133 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#91002 of 259042 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 19,615 +2,704 26 Jul – 30 Oct · 24 days played
16,91119,615peak 19,61526 Jul30 Oct
19,966Peak Premier in tracked matches
27Days played since 2026-07-23

Premier CS Rating

  • At peak — 19,615
  • +653 over 30 days · improving
  • +1,246 over 90 days
  • Next: Pink band at 20,000 — 385 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate33.3%44.4%46.9%13.6% short
Shot accuracy17.4%11.9%13.0%above
Kill/death ratio0.811.031.080.27 short
Match win rate41.8%45.2%46.7%4.9% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLandoCalrissianPREMIER19,615 · 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

Aim56
Positioning53
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWLLWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · +2ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 667ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 615ms

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 (+2 against its own average).

Aim5.6
Utility2.3
Positioning5.3
Opening Duels2.3

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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 604ms 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

Aim5.6
Positioning5.3
Utility2.3
Mechanics5.3
Opening Duels4.0
Win Impact5.0

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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−43ms
first ⅓ avg 640ms → last ⅓ avg 598ms
Headshot accuracy16.8%−0.3%
first ⅓ avg 17.1% → last ⅓ avg 16.8%

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

0.09Best match rating · 13–3 · dust2, 25 Jul →
39%Best headshot accuracy · 13–4 · cache, 8 Oct →
414msFastest reaction time · 5–13 · nuke, 24 Sept →
13–1Biggest win · cache, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 64% over 22anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
cacheA2214–864%0.00
dust2C208–1240%-0.03
mirageC177–1041%-0.01
anubisC135–838%-0.01
infernoA138–562%0.00
ancientC125–742%-0.03
nuke—30–30%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,072Lifetime kills
0.81K/D
3,816Matches
41.8%Match win rate
33.3%Headshot %
17.4%Shot accuracy · Top 25% of Purple band
8,084MVPs
1,841Hours (in match)
4,713Bombs planted
755Bombs defused

Most-used weapons

AK-4714,896
AWP11,317
P2503,187
P902,183
Tec-91,858
FAMAS1,265

Lifetime map wins

9,261dust2
7,845inferno
2,602cbble
1,478nuke
1,440train
183vertigo
175office
107assault

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

Faceit stats

Combat

32Matches
59%Win rate
1.03Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

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.

17.0%Headshot accuracy
34.1%Accuracy (enemy spotted)
40.4%Spray accuracy
73.7%Counter-strafing
12.2°Preaim
604msReaction time
46.9%T opening success
45.0%CT opening success
0.37Enemies flashed / flash
0.3%Flash assists
9.15HE damage / grenade
1.90Flashes / 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 12.1923° — above the 12° 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 0.3703 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0421%30 Oct →
mirage13–3-0.0118%30 Oct →
anubis10–13-0.0412%30 Oct →
dust27–130.0316%30 Oct →
cache13–110.0628%30 Oct →
inferno13–20.0623%30 Oct →
mirage11–130.018%29 Oct →
inferno8–13-0.0115%29 Oct →
cache10–9-0.0015%29 Oct →
dust213–7-0.0910%19 Oct →
cache13–100.0419%19 Oct →
inferno16–14-0.0316%19 Oct →
mirage9–130.0222%13 Oct →
cache13–50.0722%13 Oct →
anubis4–13-0.0716%13 Oct →
dust22–13-0.0510%8 Oct →
anubis14–160.0122%8 Oct →
cache13–4-0.0539%8 Oct →
dust22–13-0.105%30 Sept →
cache13–80.0713%30 Sept →
mirage13–8-0.0210%30 Sept →
inferno9–130.0527%24 Sept →
dust213–11-0.0212%24 Sept →
cache13–100.0727%24 Sept →
cache9–13-0.0311%24 Sept →
nuke5–13-0.0312%24 Sept →
cache13–1-0.0110%23 Sept →
nuke5–13-0.0414%23 Sept →
cache13–4-0.0410%23 Sept →
inferno8–13-0.0325%20 Sept →
dust216–120.0020%20 Sept →
anubis13–50.0319%20 Sept →
mirage3–13-0.0913%20 Sept →
inferno13–7-0.059%14 Sept →
mirage13–90.0312%14 Sept →
cache15–150.0820%14 Sept →
inferno9–130.0121%9 Sept →
dust213–7-0.0513%9 Sept →
cache8–13-0.0424%9 Sept →
ancient14–16-0.0615%9 Sept →
anubis11–13-0.0215%8 Sept →
ancient13–160.018%8 Sept →
mirage9–13-0.0111%8 Sept →
mirage15–15-0.0321%2 Sept →
dust27–13-0.0219%2 Sept →
anubis13–70.0216%2 Sept →
inferno13–110.0017%23 Aug →
dust213–80.0013%23 Aug →
mirage13–16-0.016%23 Aug →
mirage10–130.0124%20 Aug →
anubis8–13-0.065%20 Aug →
dust26–13-0.0616%20 Aug →
ancient13–11-0.0517%19 Aug →
cache13–9-0.0013%19 Aug →
dust27–13-0.0525%19 Aug →
anubis13–10-0.0513%18 Aug →
dust29–13-0.0213%18 Aug →
cache11–130.0019%18 Aug →
ancient13–50.0612%18 Aug →
mirage13–7-0.0119%18 Aug →
ancient15–15-0.0215%17 Aug →
cache11–130.0113%17 Aug →
dust27–13-0.0426%17 Aug →
ancient7–13-0.1017%16 Aug →
cache13–10-0.0230%16 Aug →
dust213–10-0.0313%16 Aug →
anubis11–130.0419%16 Aug →
cache13–10.0221%3 Aug →
mirage13–11-0.0612%3 Aug →
ancient13–11-0.0111%3 Aug →
inferno13–7-0.0319%2 Aug →
anubis10–130.0218%2 Aug →
cache15–15-0.0113%2 Aug →
dust28–13-0.0018%2 Aug →
inferno15–15-0.079%1 Aug →
nuke11–13-0.017%1 Aug →
mirage13–4-0.0226%1 Aug →
ancient10–13-0.0320%1 Aug →
anubis13–30.0529%1 Aug →
cache8–13-0.0515%1 Aug →
inferno16–130.0120%29 Jul →
anubis11–13-0.0516%29 Jul →
dust213–9-0.0115%29 Jul →
ancient13–50.0115%29 Jul →
inferno13–100.0119%26 Jul →
dust23–13-0.0533%26 Jul →
cache13–6-0.0510%26 Jul →
ancient13–8-0.0923%26 Jul →
mirage5–13-0.027%26 Jul →
cache13–3-0.0011%25 Jul →
dust213–30.0915%25 Jul →
ancient9–13-0.0426%25 Jul →
mirage13–50.0514%25 Jul →
anubis13–6-0.0116%25 Jul →
inferno13–30.0931%24 Jul →
mirage15–150.0117%24 Jul →
cache6–13-0.1119%24 Jul →
dust28–13-0.0714%24 Jul →
ancient9–13-0.0214%24 Jul →
mirage10–130.0314%23 Jul →

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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