JayLandslide

JayLandslide — CS2 Stats

76561198047399212[U:1:87133484]Steam profile ↗✓ No bans

2,738Tracked matches24%Win rate2020Tracked since
CSDB Rating2.2 LearningSupport
FaceitLevel 2 · 735 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,745 -7,416 13 Mar – 5 Jul · 41 days played
8,74516,527peak 16,52713 Mar5 Jul
16,690Peak Premier in tracked matches
735Highest Faceit ELO seen on CSDB
54Days played since 2026-03-13

Faceit ELO

  • At peak — 735
  • Next: Level 3 at 751 — 16 to go
  • Reached: Level 2

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

Share this profile

CSDB.GGJayLandslideFACEITLevel 2 · 735 ELOSTANDINGTop 97.9% of rankedPEAK ELO735csdb.gg/stats

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Performance scores

Aim15
Positioning41
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY28–69–3Last 10028%Win rateWWLLLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −5.7pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 6%
  • Avg reaction 683ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 718ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 726ms

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).

Aim1.5
Utility5.4
Positioning4.1
Opening Duels2.0
Clutch1.8

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

jL

Plays most like jL 53% 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. 693ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.5
Positioning4.1
Utility5.4
Mechanics1.9
Opening Duels1.3
Win Impact0.0

Composite 2.2/10 (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 rating-0.05−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time701ms+16ms
first ⅓ avg 685ms → last ⅓ avg 701ms
Headshot accuracy12.7%+4.1%
first ⅓ avg 8.6% → last ⅓ avg 12.7%

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

0.06Best match rating · 13–5 · nuke, 6 May →
30%Best headshot accuracy · 4–13 · ancient, 5 Jul →
422msFastest reaction time · 4–13 · overpass, 21 May →
13–0Biggest win · dust2, 30 Sept →

Across the last 100 tracked matches.

Highlights

2Longest win streak
W2Current streak
2–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 52% over 21dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
ancientD235–1822%-0.05
nukeB2111–1052%-0.04
dust2D153–1220%-0.06
anubisD143–1121%-0.04
mirageD103–730%-0.05
overpassD92–722%-0.06
inferno—41–325%-0.02
cache—30–30%-0.06
train—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,334Matches
48%Win rate
0.79Avg K/D
63.4ADR
32%Headshot %

Clutches & streaks

29%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient8044%0.7112.1
Nuke6058%0.7712.0
Anubis3040%0.6810.3
Train2756%0.8512.9
Dust21735%0.6711.1
Mirage1436%0.6810.3
Inferno1338%0.6010.2
Vertigo1258%0.8113.1

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.

12.6%Headshot accuracy
26.5%Accuracy (enemy spotted)
33.0%Spray accuracy
58.5%Counter-strafing
13.0°Preaim
693msReaction time
29.1%T opening success
40.0%CT opening success
0.63Enemies flashed / flash
9.2%Flash assists
4.36HE damage / grenade
7.74Flashes / 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 13.0214° — above the 12° mark we flag

    Aim Training →
  2. 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 12.6404% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 15 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
nuke13–8-0.029%6 Oct →
nuke13–8-0.0110%5 Oct →
ancient4–13-0.070%5 Oct →
cache2–13-0.126%3 Oct →
dust26–13-0.084%3 Oct →
anubis6–13-0.108%30 Sept →
dust213–0-0.0315%30 Sept →
cache13–16-0.0112%17 Sept →
anubis13–20.035%15 Sept →
nuke8–13-0.0418%10 Sept →
dust23–13-0.0324%4 Sept →
nuke13–10-0.0510%4 Sept →
anubis3–13-0.069%21 Aug →
ancient2–13-0.139%21 Aug →
mirage16–12-0.0626%13 Aug →
dust25–130.0025%7 Aug →
nuke6–13-0.077%7 Aug →
mirage8–13-0.080%1 Aug →
ancient4–13-0.1230%5 Jul →
mirage8–13-0.095%21 Jun →
nuke4–13-0.0811%21 Jun →
ancient8–13-0.0419%18 Jun →
mirage10–130.026%18 Jun →
cache9–13-0.0517%18 Jun →
train12–12-0.087%18 Jun →
inferno13–7-0.0215%15 Jun →
ancient4–13-0.0725%15 Jun →
nuke8–13-0.0022%11 Jun →
dust20–13-0.1110%11 Jun →
dust20–13-0.0810%11 Jun →
ancient10–13-0.0517%11 Jun →
mirage13–7-0.028%10 Jun →
dust29–13-0.0720%10 Jun →
ancient10–13-0.0822%8 Jun →
ancient5–13-0.0526%7 Jun →
anubis13–100.0219%7 Jun →
anubis9–13-0.0116%6 Jun →
ancient13–10-0.0210%6 Jun →
overpass8–13-0.0622%6 Jun →
nuke13–6-0.0310%3 Jun →
ancient8–13-0.078%3 Jun →
nuke5–13-0.0614%2 Jun →
anubis6–13-0.0212%2 Jun →
nuke7–13-0.119%1 Jun →
nuke13–8-0.0413%1 Jun →
mirage13–8-0.0415%30 May →
ancient5–13-0.100%30 May →
anubis4–13-0.0311%29 May →
mirage0–13-0.057%27 May →
anubis9–13-0.0610%27 May →
dust28–13-0.0213%26 May →
nuke13–8-0.0310%25 May →
anubis11–13-0.0318%23 May →
overpass4–13-0.0011%21 May →
mirage4–13-0.0110%21 May →
overpass3–13-0.065%20 May →
ancient3–13-0.0620%19 May →
overpass8–13-0.0613%19 May →
ancient15–15-0.0418%19 May →
ancient14–16-0.0015%14 May →
inferno5–130.0110%12 May →
nuke13–70.0215%10 May →
nuke13–5-0.0713%10 May →
nuke11–13-0.067%8 May →
overpass13–10-0.046%7 May →
dust214–16-0.069%7 May →
ancient13–9-0.0212%6 May →
mirage6–13-0.087%6 May →
nuke13–50.064%6 May →
dust25–13-0.128%5 May →
overpass8–13-0.077%26 Apr →
anubis8–13-0.079%24 Apr →
dust26–13-0.044%24 Apr →
ancient8–13-0.099%24 Apr →
overpass13–8-0.067%24 Apr →
mirage3–13-0.1113%24 Apr →
dust213–7-0.056%24 Apr →
ancient7–13-0.0010%24 Apr →
inferno6–13-0.0415%19 Apr →
nuke11–13-0.0414%19 Apr →
nuke6–13-0.027%17 Apr →
overpass4–13-0.056%9 Apr →
anubis13–9-0.0311%8 Apr →
overpass4–13-0.120%8 Apr →
dust210–13-0.069%7 Apr →
ancient13–11-0.048%7 Apr →
inferno7–13-0.035%5 Apr →
anubis9–13-0.077%4 Apr →
nuke13–8-0.039%23 Mar →
anubis11–13-0.0320%23 Mar →
ancient6–130.0010%23 Mar →
nuke4–13-0.088%20 Mar →
ancient13–80.055%20 Mar →
ancient13–8-0.039%16 Mar →
anubis5–13-0.1012%16 Mar →
ancient6–13-0.094%15 Mar →
nuke16–130.0211%13 Mar →
dust213–11-0.039%13 Mar →
dust215–15-0.0714%13 Mar →
ancient10–13-0.076%13 Mar →

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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