Lum ラム

Lum ラム — CS2 Stats

JP76561198252232896[U:1:291967168]Steam profile ↗✓ No bans

1,131Tracked matches36%Win rate2020Tracked since
CSDB Rating4.1 DevelopingClutch Specialist
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,131 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. 54 days played since 20 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,857 -498 21 Aug15 Dec · 23 days played
15,76017,355peak 17,35521 Aug15 Dec
17,355Peak Premier in tracked matches
1,073Highest Faceit ELO seen on CSDB
54Days played since 2025-08-20

Faceit ELO

  • At peak — 1,073
  • Next: Level 6 at 1,201 128 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-19
  • Level 4 first seen 2026-09-19

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.

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CSDB.GGLum ラムPEAK ELO1,073csdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility32

0–100 skill scores via Leetify.

Recent form

COLD42526Last 10042%Win rateLLWLTTWTLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · 0.0pp headshot accuracy · +69ms 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

  • 131 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 10

  • 253 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 610ms

Last 20

  • 5114 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 576ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim6.7
Utility3.2
Positioning5.2
Opening Duels3.0
Clutch5.6

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 91% 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. 565ms 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

Aim6.7
Positioning5.2
Utility3.2
Mechanics5.3
Opening Duels1.6
Win Impact0.2

Composite 4.1/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time578ms−39ms
first ⅓ avg 617ms → last ⅓ avg 578ms
Headshot accuracy13.3%−1.5%
first ⅓ avg 14.7% → last ⅓ avg 13.3%

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

0.15Best match rating · 13–5 · office, 4 Oct
33%Best headshot accuracy · 4–13 · train, 3 Dec
406msFastest reaction time · 12–12 · office, 23 Jun
13–3Biggest win · ancient, 17 Nov

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 15infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
officeC1771041%0.02
dust2C1661038%-0.01
nukeA169756%0.02
ancientS1510567%0.01
mirageC146843%-0.00
infernoD71614%0.01
trainA53260%0.00
vertigo2020%-0.01
anubis2020%0.01
overpass2020%-0.00
poseidon1010%-0.09
debris1010%-0.07
eldorado1010%-0.09
palacio1010%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

55Matches
49%Win rate
1.12Avg K/D
85.4ADR
41%Headshot %

Clutches & streaks

48%1v1 clutch win
31%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1346%1.1518.4
Ancient1173%1.4420.1
Mirage838%1.0016.0
Dust2667%0.8014.2
Anubis425%1.3116.0
Inferno450%1.1518.8
Train2100%1.4322.5
Overpass20%0.7613.5

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
35.5%Accuracy (enemy spotted)
42.3%Spray accuracy
73.7%Counter-strafing
10.3°Preaim
565msReaction time
31.0%T opening success
42.0%CT opening success
0.44Enemies flashed / flash
1.6%Flash assists
8.85HE damage / grenade
3.13Flashes / 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 14.4983% — 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 0.4425 — 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 30.969% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0319%3 Sept
vertigo5–130.0516%29 Jul
inferno13–100.0921%29 Jul
nuke10–13-0.0011%29 Jul
poseidon8–8-0.099%27 Jul
office12–120.0117%27 Jul
dust213–10-0.055%27 Jul
debris8–8-0.073%13 Jul
eldorado4–9-0.093%13 Jul
office8–13-0.0312%12 Jul
office11–130.079%12 Jul
nuke16–130.0316%28 Jun
ancient6–13-0.058%28 Jun
office13–11-0.058%27 Jun
office12–120.003%23 Jun
nuke13–100.0117%15 Jun
office6–13-0.0415%25 Mar
anubis8–130.0018%23 Mar
mirage5–13-0.0112%22 Mar
inferno4–130.0212%22 Mar
anubis7–130.0213%10 Mar
inferno8–80.003%25 Feb
nuke13–16-0.0119%25 Feb
inferno7–130.0012%9 Feb
office13–9-0.0219%9 Feb
nuke19–17-0.0118%9 Feb
mirage6–13-0.0321%8 Feb
ancient13–70.0216%20 Dec
mirage13–60.0911%15 Dec
mirage13–60.0311%15 Dec
dust210–13-0.0219%15 Dec
nuke3–13-0.0822%14 Dec
nuke8–13-0.0121%14 Dec
office1–13-0.0612%12 Dec
nuke13–110.0813%8 Dec
train4–13-0.0233%3 Dec
overpass7–130.0218%3 Dec
office12–50.0430%2 Dec
office13–100.0521%1 Dec
overpass10–13-0.029%26 Nov
dust28–13-0.0217%26 Nov
office12–12-0.0015%24 Nov
ancient13–11-0.0519%24 Nov
nuke13–70.0323%22 Nov
dust27–130.0314%22 Nov
ancient13–3-0.0016%17 Nov
nuke13–70.0211%17 Nov
inferno6–13-0.0510%17 Nov
office10–130.0019%2 Nov
office6–13-0.0116%2 Nov
vertigo6–13-0.0719%26 Oct
ancient13–90.0413%25 Oct
train1–00.040%25 Oct
ancient8–13-0.0014%20 Oct
train13–11-0.029%20 Oct
dust210–13-0.0323%20 Oct
office13–50.1122%14 Oct
inferno14–160.0515%13 Oct
ancient13–70.0419%13 Oct
dust213–60.0118%13 Oct
nuke4–13-0.066%13 Oct
mirage9–13-0.0419%13 Oct
train19–170.0520%9 Oct
dust213–9-0.0414%9 Oct
mirage10–130.0019%7 Oct
dust213–40.1018%7 Oct
palacio5–13-0.0014%6 Oct
office10–130.0715%6 Oct
mirage13–8-0.027%4 Oct
dust29–13-0.0311%4 Oct
office13–50.1511%4 Oct
ancient13–10-0.0511%29 Sept
nuke5–130.1112%29 Sept
dust213–9-0.0314%28 Sept
mirage13–10-0.0115%28 Sept
ancient16–12-0.028%28 Sept
mirage5–13-0.0613%27 Sept
mirage16–14-0.0114%23 Sept
dust210–13-0.0124%23 Sept
ancient13–50.0814%17 Sept
mirage10–13-0.0214%17 Sept
nuke13–80.1218%16 Sept
dust27–13-0.0311%15 Sept
nuke13–9-0.0424%15 Sept
nuke13–60.0713%14 Sept
mirage14–160.0114%14 Sept
ancient13–16-0.0211%13 Sept
ancient13–50.1116%6 Sept
ancient13–50.1115%6 Sept
mirage7–13-0.0321%6 Sept
mirage13–90.0514%2 Sept
ancient11–13-0.0413%1 Sept
dust210–130.0617%1 Sept
dust211–13-0.0120%1 Sept
office13–100.0619%29 Aug
inferno12–16-0.0218%26 Aug
dust213–10-0.0416%21 Aug
train6–13-0.0422%21 Aug
nuke11–130.0213%21 Aug
ancient25–28-0.0210%20 Aug

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 →