_Lambda_

_Lambda_ — CS2 Stats

DE76561198064904879[U:1:104639151]Steam profile ↗✓ No bans

840Tracked matches40%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating15,289Purple band · top ~27.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 15,289 -1,011 29 Jun – 30 Sept · 17 days played
15,28918,219peak 18,21929 Jun30 Sept
18,412Peak Premier in tracked matches
1,134Highest Faceit ELO seen on CSDB
27Days played since 2026-06-29

Premier CS Rating

  • 2,930 below peak (18,219)
  • -2,694 over 30 days · declining
  • -249 over 90 days
  • Next: Pink band at 20,000 — 4,711 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GG_Lambda_FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,289 · Purple bandPEAK ELO1,134csdb.gg/stats

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Performance scores

Aim66
Positioning49
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLWWLLWLLW

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · −0.2pp headshot accuracy · +27ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 614ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 568ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

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 (+3.8 against its own average).

Aim6.6
Utility7.4
Positioning4.9
Opening Duels1.2
Clutch1.0

Effective flashes

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

Twistzz

Plays most like Twistzz 77% 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

CT openings. Opening success drops from 44% on T to 28% on CT — first contacts on the defending side are being lost.

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

Aim6.6
Positioning4.9
Utility7.4
Mechanics6.5
Opening Duels1.8
Win Impact1.7

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time539ms−80ms
first ⅓ avg 619ms → last ⅓ avg 539ms
Headshot accuracy17.5%+1.2%
first ⅓ avg 16.3% → last ⅓ avg 17.5%

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

0.19Best match rating · 9–0 · inferno, 1 Sept →
47%Best headshot accuracy · 7–9 · inferno, 21 Aug →
344msFastest reaction time · 8–13 · inferno, 22 Aug →
13–3Biggest win · mirage, 17 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

debrisBest map · 79% over 14infernoWeakest map · 22% over 23
MapGradePlayedRecordWin rateAvg rating
infernoD235–1822%-0.02
cacheD195–1426%-0.01
mirageA149–564%-0.01
debrisS1411–379%0.04
overpassS64–267%-0.03
nukeB63–350%-0.02
dust2A53–260%-0.01
ancient—43–175%-0.04
poseidon—31–233%-0.04
anubis—20–20%-0.02
fachwerk—21–150%0.03
shelter—11–0100%0.05
train—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

303Matches
50%Win rate
0.98Avg K/D
75.9ADR
37%Headshot %

Clutches & streaks

25%1v1 clutch win
37%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage875%1.3111.6
Anubis540%1.3216.4
Inferno333%1.3418.7
Dust230%0.8915.3
Cache2100%1.0913.0
Nuke10%0.6911.0

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.

16.6%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.8%Spray accuracy
79.4%Counter-strafing
10.9°Preaim
544msReaction time
44.4%T opening success
28.5%CT opening success
0.70Enemies flashed / flash
6.1%Flash assists
13.20HE damage / grenade
12.73Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.4511% — 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.

22% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0228%30 Sept →
mirage5–13-0.0418%30 Sept →
debris9–20.1712%30 Sept →
dust213–11-0.026%28 Sept →
dust211–13-0.0111%25 Sept →
cache0–13-0.0614%25 Sept →
dust213–9-0.0322%24 Sept →
inferno1–8-0.0117%24 Sept →
anubis10–130.0220%24 Sept →
mirage13–60.0213%24 Sept →
poseidon9–7-0.0233%12 Sept →
inferno2–9-0.1223%12 Sept →
cache13–50.0210%12 Sept →
inferno9–70.0315%12 Sept →
mirage13–11-0.027%9 Sept →
inferno3–13-0.0823%9 Sept →
cache10–13-0.0113%9 Sept →
mirage3–13-0.109%9 Sept →
cache6–13-0.0720%9 Sept →
debris9–7-0.0411%9 Sept →
inferno5–9-0.1510%9 Sept →
overpass9–40.1326%1 Sept →
debris9–30.0644%1 Sept →
debris9–30.1717%1 Sept →
nuke9–60.0218%1 Sept →
inferno8–80.1220%1 Sept →
inferno9–00.1915%1 Sept →
poseidon5–9-0.0316%1 Sept →
mirage13–50.0217%31 Aug →
overpass5–9-0.1510%31 Aug →
inferno9–60.0716%31 Aug →
debris9–40.0419%31 Aug →
debris9–60.1226%31 Aug →
dust28–13-0.0724%29 Aug →
inferno7–13-0.0822%29 Aug →
nuke13–90.018%29 Aug →
ancient13–10-0.0215%29 Aug →
cache9–13-0.0129%29 Aug →
cache11–130.0516%26 Aug →
inferno8–13-0.078%24 Aug →
cache9–40.0326%24 Aug →
overpass8–8-0.0717%23 Aug →
inferno4–9-0.0533%23 Aug →
debris9–50.0319%23 Aug →
inferno5–9-0.0911%23 Aug →
debris3–9-0.157%23 Aug →
overpass9–5-0.0514%23 Aug →
cache13–110.0719%22 Aug →
mirage10–3-0.0211%22 Aug →
ancient13–11-0.0624%22 Aug →
mirage11–130.0010%22 Aug →
nuke3–13-0.0819%22 Aug →
inferno8–13-0.0723%22 Aug →
debris9–40.0718%22 Aug →
inferno8–8-0.0614%22 Aug →
nuke2–9-0.1518%22 Aug →
inferno7–9-0.0227%22 Aug →
debris8–80.0614%21 Aug →
debris4–9-0.1020%21 Aug →
debris9–6-0.0518%21 Aug →
poseidon3–9-0.0625%21 Aug →
debris9–30.1113%21 Aug →
debris9–30.0614%21 Aug →
nuke6–9-0.048%21 Aug →
overpass9–60.0330%21 Aug →
inferno7–9-0.0447%21 Aug →
inferno6–130.0112%18 Aug →
mirage16–14-0.078%18 Aug →
cache13–40.0621%18 Aug →
mirage13–11-0.0414%18 Aug →
nuke16–120.1122%18 Aug →
mirage9–13-0.0432%17 Aug →
mirage13–90.0525%17 Aug →
ancient13–10-0.0512%17 Aug →
inferno6–9-0.1320%17 Aug →
overpass9–4-0.0510%17 Aug →
inferno13–5-0.0313%14 Aug →
mirage13–11-0.0015%14 Aug →
cache10–13-0.0617%14 Aug →
inferno12–12-0.0211%13 Aug →
fachwerk12–120.0017%10 Aug →
shelter13–80.0513%10 Aug →
cache1–130.0021%4 Aug →
inferno5–13-0.0214%4 Aug →
train13–70.0013%4 Aug →
fachwerk13–50.0730%4 Aug →
cache7–13-0.0611%3 Aug →
mirage9–130.1517%19 Jul →
mirage13–3-0.0010%17 Jul →
cache11–13-0.0222%17 Jul →
inferno10–130.0024%17 Jul →
cache13–60.0216%17 Jul →
dust213–50.0625%16 Jul →
cache3–13-0.027%16 Jul →
anubis7–13-0.0512%3 Jul →
cache7–130.0112%3 Jul →
ancient8–13-0.0415%30 Jun →
cache5–13-0.0917%30 Jun →
cache11–13-0.0214%29 Jun →
inferno13–40.0911%29 Jun →

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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