Lampy

Lampy — CS2 Stats

US76561198050937985[U:1:90672257]Steam profile ↗✓ No bans

348Tracked matches50%Win rate2020Tracked since
2,081Hours in CS
CSDB Rating6.2 SolidSupport
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 348 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 19 Jul 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,867 +1,263 29 Jul11 Jun · 6 days played
21,55923,867peak 23,86729 Jul11 Jun
23,867Peak Premier in tracked matches
42Days played since 2025-07-19

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.

Performance scores

Aim73
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

COLD47494Last 10047%Win rateWLLLLWLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −5.0pp headshot accuracy · −182ms reaction

Win rate −10pp 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

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 403ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 508ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim7.3
Utility5.9
Positioning5.7
Opening Duels4.2
Clutch4.0

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.3
Positioning5.7
Utility5.9
Mechanics7.5
Opening Duels3.7
Win Impact5.0

Composite 6.2/10 (Solid), 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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time594ms−23ms
first ⅓ avg 617ms → last ⅓ avg 594ms
Headshot accuracy21.5%+3.5%
first ⅓ avg 18.0% → last ⅓ avg 21.5%

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

0.18Best match rating · 9–3 · inferno, 24 Jul
100%Best headshot accuracy · 0–9 · debris, 13 Jul
391msFastest reaction time · 2–13 · ancient, 10 Aug
13–1Biggest win · anubis, 21 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
610In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2012860%0.04
nukeC1881044%-0.00
dust2A148657%0.00
ancientD102820%-0.02
mirageC104640%0.00
trainC83538%0.02
cacheA74357%-0.00
overpassD62433%0.00
anubisS54180%0.01
debris1010%-0.19
eldorado1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,586Lifetime kills
1.09K/D · Top 50% of tracked players
3,151Matches
53.2%Match win rate · Top 10% of tracked players
45.7%Headshot % · Top 50% of tracked players
21.5%Shot accuracy · Top 5% of tracked players
13,382MVPs
2,081Hours (in match)
2,552Bombs planted
799Bombs defused

Most-used weapons

AK-4748,479
AWP6,073
P2502,325
FAMAS2,025
P901,334

Lifetime map wins

6,283inferno
5,161dust2
4,011nuke
1,658train
964office
941cbble
514vertigo
162italy

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

Faceit stats

Combat

93Matches
54%Win rate
1.15Avg K/D
87.9ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21937%0.9914.1
Inferno1656%1.2518.6
Mirage1567%1.1815.9
Nuke1362%1.2119.1
Ancient1155%0.9715.7
Anubis757%1.4419.6
Train540%0.9013.8
Cache1100%1.2515.0

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.

20.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.8%Spray accuracy
83.7%Counter-strafing
11.3°Preaim
604msReaction time
36.9%T opening success
52.9%CT opening success
0.69Enemies flashed / flash
6.9%Flash assists
10.42HE damage / grenade
6.95Flashes / 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

    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 36.9241% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0229%24 Aug
ancient0–2-0.090%15 Aug
mirage2–130.0224%15 Aug
anubis14–160.0019%10 Aug
ancient2–13-0.0912%10 Aug
inferno13–90.0925%7 Aug
dust211–130.0334%3 Aug
inferno13–90.0222%3 Aug
cache9–13-0.0118%1 Aug
ancient13–16-0.0616%1 Aug
inferno9–30.1813%24 Jul
nuke0–9-0.2211%24 Jul
anubis13–1-0.0223%21 Jul
nuke10–130.0314%21 Jul
inferno13–4-0.0017%21 Jul
dust213–16-0.0422%19 Jul
inferno10–130.0211%19 Jul
inferno11–13-0.0217%17 Jul
inferno9–40.1124%14 Jul
debris0–9-0.19100%13 Jul
eldorado4–90.0220%13 Jul
nuke4–13-0.090%12 Jul
cache13–90.0039%12 Jul
inferno3–13-0.0219%11 Jul
cache13–70.0329%11 Jul
mirage13–1-0.055%10 Jul
nuke9–130.0622%10 Jul
cache13–10.0239%9 Jul
inferno13–8-0.0120%11 Jun
nuke8–13-0.0412%11 Jun
nuke13–100.0812%10 Jun
nuke13–80.0918%9 Jun
inferno13–9-0.0227%9 Jun
dust213–50.0126%8 Jun
nuke13–6-0.0615%8 Jun
dust213–9-0.0217%6 Jun
cache10–130.0727%6 Jun
nuke7–13-0.0718%6 Jun
overpass16–140.0116%5 Jun
ancient13–80.0217%3 Jun
anubis13–70.0213%3 Jun
dust211–130.0232%26 May
nuke8–130.0222%26 May
mirage16–130.0415%26 May
cache7–13-0.1014%25 May
mirage0–13-0.0353%25 May
dust213–40.0218%25 May
nuke11–13-0.0620%25 May
inferno15–150.0414%25 May
mirage6–130.0627%17 Aug
nuke13–60.0416%17 Aug
overpass8–130.0825%17 Aug
overpass7–13-0.0512%17 Aug
inferno13–100.0437%10 Aug
nuke2–80.0553%10 Aug
train11–130.0533%10 Aug
ancient4–13-0.0025%6 Aug
inferno10–130.000%5 Aug
inferno13–50.0623%4 Aug
mirage10–130.0414%4 Aug
ancient10–130.0320%4 Aug
ancient8–7-0.0218%3 Aug
mirage13–80.0821%3 Aug
anubis13–90.0717%3 Aug
inferno13–110.0430%3 Aug
ancient7–13-0.0315%2 Aug
overpass10–130.0217%2 Aug
anubis13–11-0.0228%2 Aug
inferno13–70.0917%2 Aug
dust24–13-0.0117%2 Aug
dust211–13-0.0416%1 Aug
overpass13–70.0010%29 Jul
train13–20.0420%29 Jul
dust25–13-0.0511%29 Jul
inferno8–130.0217%29 Jul
nuke13–90.0119%29 Jul
nuke13–90.0727%28 Jul
mirage5–13-0.126%28 Jul
dust27–40.0511%28 Jul
inferno13–80.038%28 Jul
train12–120.0025%27 Jul
inferno12–120.0627%27 Jul
nuke13–30.0320%27 Jul
train7–130.0221%27 Jul
dust213–60.0528%26 Jul
train13–100.1122%26 Jul
train11–13-0.0424%25 Jul
dust213–80.0124%25 Jul
nuke15–150.0218%25 Jul
dust213–11-0.0115%23 Jul
train13–100.0020%21 Jul
ancient12–16-0.0314%21 Jul
overpass2–13-0.0512%21 Jul
nuke13–40.0513%20 Jul
inferno9–13-0.0012%20 Jul
ancient10–130.0311%20 Jul
mirage11–130.0427%20 Jul
train7–13-0.059%20 Jul
mirage13–9-0.0517%19 Jul
dust213–110.0227%19 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →