Lambo

Lambo — CS2 Stats

76561199374358029[U:1:1414092301]Steam profile ↗✓ No bans

673Tracked matches44%Win rate2023Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 12 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,960 +1,453 15 Aug2 Oct · 23 days played
16,23619,730peak 19,73015 Aug2 Oct
19,880Peak Premier in tracked matches
36Days played since 2025-08-12

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

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CSDB.GGLamboFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning32
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateLWLWWLWWLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −8.8pp headshot accuracy · +123ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 639ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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 (+2.2 against its own average).

Aim7.3
Utility4.3
Positioning3.2
Opening Duels0.0
Clutch1.0

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Reaction time. 591ms 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
Positioning3.2
Utility4.3
Mechanics7.6
Opening Duels0.2
Win Impact3.1

Composite 4.9/10 (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 rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time587ms−56ms
first ⅓ avg 643ms → last ⅓ avg 587ms
Headshot accuracy17.2%+3.2%
first ⅓ avg 14.0% → last ⅓ avg 17.2%

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 · 13–6 · mirage, 31 Aug
100%Best headshot accuracy · 0–3 · mirage, 4 Sept
344msFastest reaction time · 0–3 · mirage, 4 Sept
13–2Biggest win · train, 15 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
117In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 58% over 19infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA1911858%-0.03
mirageB157847%-0.04
nukeD123925%-0.04
overpassB126650%-0.03
infernoD112918%-0.05
trainB105550%-0.02
anubisC83538%-0.06
dust2C83538%-0.04
cache330100%-0.01
grail21150%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

67Matches
46%Win rate
0.90Avg K/D
65.5ADR
38%Headshot %

Clutches & streaks

25%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1650%0.8915.0
Mirage1540%0.9312.3
Inferno1250%0.9113.3
Nuke850%0.659.9
Overpass475%0.7712.8
Ancient30%1.2923.3
Dust2367%0.8913.0

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.

14.9%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.5%Spray accuracy
84.4%Counter-strafing
9.0°Preaim
591msReaction time
26.4%T opening success
31.7%CT opening success
0.68Enemies flashed / flash
3.1%Flash assists
4.01HE damage / grenade
9.26Flashes / 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 14.9262% — below the 15% mark we flag

    Aim Training
  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 26.4238% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.055%18 Sept
anubis13–110.0431%18 Sept
dust27–13-0.0714%17 Sept
mirage13–6-0.084%17 Sept
cache8–60.0023%17 Sept
anubis7–13-0.118%10 Sept
mirage13–3-0.0119%8 Sept
mirage13–10-0.077%8 Sept
ancient4–13-0.0715%6 Sept
ancient13–100.0013%6 Sept
anubis8–13-0.0211%6 Sept
mirage13–5-0.0713%6 Sept
ancient13–11-0.068%6 Sept
cache13–7-0.0417%6 Sept
mirage10–13-0.0210%4 Sept
inferno13–6-0.047%4 Sept
mirage0–30.02100%4 Sept
nuke8–13-0.0213%4 Sept
anubis2–13-0.0739%3 Sept
inferno6–13-0.088%3 Sept
mirage4–13-0.096%2 Sept
dust22–13-0.0124%2 Sept
cache13–50.0021%2 Sept
nuke10–13-0.0314%31 Aug
mirage7–13-0.0111%31 Aug
anubis13–7-0.089%31 Aug
train12–12-0.0823%28 Oct
ancient12–12-0.0418%18 Oct
nuke15–15-0.0723%2 Oct
train9–13-0.0510%21 Sept
nuke11–13-0.047%21 Sept
ancient13–8-0.0319%21 Sept
ancient11–13-0.0316%21 Sept
train12–120.0118%20 Sept
dust212–12-0.0629%20 Sept
inferno4–13-0.0624%20 Sept
ancient7–13-0.0614%20 Sept
train11–130.0232%19 Sept
dust213–9-0.0214%19 Sept
overpass2–60.0325%19 Sept
inferno5–13-0.0414%16 Sept
train13–7-0.0021%16 Sept
overpass13–110.0121%16 Sept
train13–2-0.048%15 Sept
train13–60.0317%15 Sept
overpass13–16-0.0721%7 Sept
overpass13–90.0013%4 Sept
ancient10–13-0.108%4 Sept
ancient16–14-0.0113%1 Sept
ancient13–11-0.104%1 Sept
inferno7–13-0.0312%1 Sept
mirage13–60.0616%31 Aug
nuke10–13-0.0111%31 Aug
ancient13–100.0312%31 Aug
overpass7–13-0.0821%31 Aug
nuke13–7-0.0014%30 Aug
overpass13–50.0014%30 Aug
ancient13–8-0.003%30 Aug
train2–13-0.0912%30 Aug
nuke13–3-0.0712%30 Aug
overpass13–60.017%30 Aug
ancient13–80.0024%29 Aug
train13–100.0316%29 Aug
grail13–9-0.0127%29 Aug
inferno3–13-0.0816%28 Aug
ancient13–10-0.0135%28 Aug
dust27–13-0.1121%28 Aug
grail5–13-0.0116%28 Aug
anubis5–13-0.080%26 Aug
mirage6–13-0.0413%26 Aug
nuke13–110.0029%26 Aug
mirage13–11-0.0614%24 Aug
mirage6–13-0.0217%24 Aug
mirage10–13-0.039%23 Aug
nuke7–13-0.104%22 Aug
mirage7–13-0.079%21 Aug
nuke15–15-0.069%21 Aug
ancient11–13-0.0517%20 Aug
anubis13–11-0.0615%20 Aug
anubis6–13-0.107%20 Aug
nuke14–16-0.0515%19 Aug
overpass13–10-0.0319%19 Aug
inferno13–5-0.0820%19 Aug
dust213–7-0.0019%19 Aug
nuke11–13-0.0524%18 Aug
overpass6–13-0.0723%17 Aug
train13–6-0.049%17 Aug
ancient5–13-0.0812%17 Aug
inferno12–160.0112%17 Aug
overpass15–15-0.0419%17 Aug
mirage13–11-0.067%16 Aug
overpass16–14-0.0213%16 Aug
dust24–13-0.0310%16 Aug
ancient13–8-0.0513%16 Aug
inferno3–13-0.0514%16 Aug
inferno7–13-0.048%15 Aug
dust213–5-0.0028%15 Aug
ancient13–30.0510%15 Aug
ancient15–15-0.0211%12 Aug
overpass11–13-0.0715%12 Aug

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 →