lamb

lamb — CS2 Stats

76561197988432431[U:1:28166703]Steam profile ↗✓ No bans

955Tracked matches55%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating18,375Purple band · top ~15% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (33 days ago). 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: 18,375 -6,119 10 Sept – 22 Sept · 17 days played
16,55925,000peak 25,00010 Sept22 Sept
Faceit ELO: 1,156 +0 28 Aug – 2 Sept · 2 observations
1,1561,156peak 1,15628 Aug2 Sept
25,542Peak Premier in tracked matches
1,156Highest Faceit ELO seen on CSDB
32Days played since 2025-09-10

Premier CS Rating

  • 6,625 below peak (25,000)
  • +948 over 90 days
  • Next: Pink band at 20,000 — 1,625 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.

Share this profile

CSDB.GGlambFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,375 · Purple bandPEAK ELO1,156csdb.gg/stats

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Performance scores

Aim72
Positioning49
Utility47

0–100 skill scores via Leetify.

Recent form

HOT56–42–2Last 10056%Win rateWWWWWTWWWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −3.3pp headshot accuracy · −28ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 653ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 630ms

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 (+1.1 against its own average).

Aim7.2
Utility4.7
Positioning4.9
Opening Duels1.6
Clutch4.0

Effective flashesLimited 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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 635ms 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

Aim7.2
Positioning4.9
Utility4.7
Mechanics7.4
Opening Duels1.1
Win Impact6.7

Composite 5.7/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time637ms−2ms
first ⅓ avg 639ms → last ⅓ avg 637ms
Headshot accuracy20.1%+1.1%
first ⅓ avg 19.0% → last ⅓ avg 20.1%

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

0.13Best match rating · 13–4 · overpass, 22 Jun →
38%Best headshot accuracy · 13–8 · anubis, 20 Jan →
453msFastest reaction time · 8–2 · nuke, 15 Jan →
13–0Biggest win · inferno, 13 Jan →

Across the last 100 tracked matches.

Highlights

17Longest win streak
W5Current streak
7–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 83% over 6overpassWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2314–961%-0.01
nukeB179–853%-0.01
ancientB168–850%-0.02
infernoA148–657%-0.02
mirageC94–544%-0.03
overpassC83–538%0.01
anubisS65–183%-0.02
train—43–175%-0.06
cache—32–167%-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

96Matches
50%Win rate
0.92Avg K/D
70.5ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient2343%0.9213.5
Mirage1735%0.9214.2
Dust21747%0.9414.1
Inferno1675%1.0415.1
Anubis1050%1.0113.8
Nuke743%0.7316.1
Vertigo475%0.8311.8
Overpass1100%0.6813.0

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.

19.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
39.4%Spray accuracy
83.3%Counter-strafing
10.0°Preaim
635msReaction time
32.6%T opening success
36.0%CT opening success
0.73Enemies flashed / flash
9.6%Flash assists
3.50HE damage / grenade
3.71Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7057 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 32.5681% — below the 40% mark we flag

Spend your practice time on Overpass

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 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0432%22 Sept →
nuke13–60.0517%22 Sept →
nuke13–8-0.0015%22 Sept →
nuke13–11-0.0316%24 Aug →
mirage13–8-0.0317%23 Aug →
ancient15–15-0.085%23 Aug →
ancient13–90.0619%5 Aug →
cache13–60.0524%5 Aug →
inferno13–11-0.0215%2 Aug →
dust24–13-0.0913%2 Aug →
ancient11–13-0.0323%16 Jul →
cache4–13-0.0828%16 Jul →
dust214–16-0.0220%16 Jul →
cache13–10-0.0423%15 Jul →
inferno10–13-0.0318%15 Jul →
dust28–13-0.0215%15 Jul →
ancient14–16-0.0326%11 Jul →
anubis13–90.0218%11 Jul →
ancient13–8-0.0518%11 Jul →
mirage13–7-0.0718%11 Jul →
ancient4–13-0.064%11 Jul →
anubis13–7-0.0013%30 Jun →
nuke11–13-0.0633%30 Jun →
anubis16–14-0.0225%28 Jun →
nuke5–13-0.0819%28 Jun →
mirage10–13-0.0723%28 Jun →
inferno4–13-0.0733%28 Jun →
mirage13–20.0424%28 Jun →
ancient13–20.0828%28 Jun →
nuke8–13-0.0116%28 Jun →
dust28–13-0.0323%28 Jun →
inferno7–13-0.0517%23 Jun →
ancient3–13-0.0425%23 Jun →
anubis10–13-0.0511%22 Jun →
overpass13–40.1326%22 Jun →
inferno13–11-0.0119%9 Jun →
mirage13–10-0.0010%9 Jun →
ancient13–40.0423%9 Jun →
overpass8–13-0.0329%9 Jun →
inferno10–13-0.0222%9 Jun →
ancient13–8-0.0122%12 May →
dust213–60.0127%12 May →
mirage13–16-0.0026%11 May →
overpass13–30.0213%11 May →
anubis13–9-0.0213%29 Apr →
nuke13–6-0.0122%29 Apr →
mirage9–13-0.0228%31 Mar →
dust213–11-0.0322%31 Mar →
dust27–13-0.0326%31 Mar →
overpass11–130.0124%27 Mar →
dust213–90.0526%27 Mar →
dust210–130.0027%27 Mar →
inferno4–13-0.0218%27 Mar →
ancient11–13-0.0127%25 Mar →
inferno13–90.0129%25 Mar →
nuke3–13-0.0113%25 Mar →
dust213–70.1026%25 Mar →
mirage2–13-0.0114%25 Mar →
inferno13–30.0318%4 Feb →
ancient11–13-0.0625%4 Feb →
overpass13–40.0616%20 Jan →
ancient13–8-0.0522%20 Jan →
anubis13–8-0.0238%20 Jan →
dust213–9-0.0017%20 Jan →
dust25–13-0.0217%19 Jan →
dust22–13-0.0311%15 Jan →
nuke8–20.016%15 Jan →
dust213–9-0.0624%15 Jan →
dust24–00.000%15 Jan →
dust213–70.0126%13 Jan →
dust213–8-0.0419%13 Jan →
nuke13–10.0734%13 Jan →
inferno13–60.0038%13 Jan →
inferno13–00.0125%13 Jan →
dust213–70.0016%13 Jan →
train13–6-0.0524%13 Jan →
dust213–7-0.0222%12 Jan →
train13–3-0.0415%12 Jan →
ancient13–70.0111%12 Jan →
nuke13–40.017%12 Jan →
dust213–10-0.0415%12 Jan →
train16–14-0.0815%6 Jan →
inferno13–9-0.0310%30 Dec →
nuke4–130.0216%30 Dec →
mirage14–16-0.0626%30 Dec →
overpass15–15-0.0414%30 Dec →
nuke9–13-0.0624%30 Dec →
dust213–110.0216%30 Dec →
dust213–60.0818%24 Dec →
nuke14–16-0.0113%24 Dec →
nuke13–6-0.0514%23 Sept →
inferno7–13-0.0817%23 Sept →
train5–13-0.0619%23 Sept →
nuke1–13-0.0629%12 Sept →
overpass14–16-0.0522%11 Sept →
ancient4–13-0.0423%11 Sept →
dust29–13-0.0228%10 Sept →
overpass12–16-0.0317%10 Sept →
nuke13–6-0.0116%10 Sept →
ancient16–13-0.0113%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches17-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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