Lalo Salamanca

Lalo Salamanca — CS2 Stats

US76561198872271660[U:1:912005932]Steam profile ↗

346Tracked matches57%Win rate2026Tracked since
301Hours in CS0Hrs last 2 wks
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating17,986Purple band · top ~16.5% of ranked players (population est.)
CSDB Leaderboard#6866 of 12426 tracked
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate58.8%48.1%above
Shot accuracy0.1%12.9%12.8% short
Kill/death ratio1.121.08above
Match win rate53.3%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGLalo SalamancaPREMIER17,986 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWWWWLLLLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression7.0
Utility4.1
Positioning5.8
Opening Duels4.3
Clutch3.6

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim7.1
Positioning5.8
Utility4.1
Mechanics8.6
Opening Duels4.3
Win Impact7.2

Composite 6.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time662ms+7ms
first ⅓ avg 655ms → last ⅓ avg 662ms
Headshot accuracy26.7%+1.8%
first ⅓ avg 24.8% → last ⅓ avg 26.7%

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.

Highlights

0.15Best rating — ancient 13–5
133Biggest win — anubis
6Longest win streak
W4Current streak
107In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S2013765%0.02
mirageC1971237%-0.01
anubisC146843%0.02
nukeC135838%0.03
ancientS107370%0.05
cacheA95456%0.01
infernoD62433%0.02
office31233%-0.02
overpass21150%0.03
train21150%0.00
vertigo1010%0.03
poseidon110100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,570Lifetime kills
1.12K/D · Top 50% of tracked players
379Matches
53.3%Match win rate · Top 10% of tracked players
58.8%Headshot % · Top 25% of tracked players
0.1%Shot accuracy
958MVPs
156Hours (in match)
195Bombs planted
100Bombs defused

Most-used weapons

Lifetime map wins

824dust2
695nuke
266inferno
61vertigo
25train
20office

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

Faceit stats

Combat

17Matches
35%Win rate
0.90Avg K/D
77.0ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.8314.4
Nuke333%1.2518.3
Inferno367%1.1212.7
Ancient250%0.7211.0
Cache10%0.7613.0
Overpass10%0.7311.0
Dust210%0.386.0
Anubis10%0.6710.0

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.

24.9%Headshot accuracy
34.3%Accuracy (enemy spotted)
30.5%Spray accuracy
88.5%Counter-strafing
10.3°Preaim
665msReaction time
31.8%T opening success
62.7%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
10.17HE damage / grenade
5.25Flashes / 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 31.843% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0118%25 Jul
anubis13–30.0530%25 Jul
anubis13–80.0220%24 Jul
anubis13–6-0.0335%22 Jul
anubis3–130.0727%22 Jul
mirage8–13-0.0326%21 Jul
dust24–130.0626%20 Jul
anubis11–13-0.0214%20 Jul
inferno9–50.0431%14 Jul
mirage13–6-0.0420%14 Jul
cache9–130.0527%14 Jul
dust213–11-0.0324%14 Jul
mirage8–13-0.0228%14 Jul
dust213–80.0128%14 Jul
anubis13–70.0329%14 Jul
cache13–110.0726%14 Jul
mirage9–13-0.0531%14 Jul
ancient13–50.1525%13 Jul
mirage13–100.0029%13 Jul
nuke13–80.0716%13 Jul
cache13–10-0.0423%13 Jul
inferno10–13-0.0423%13 Jul
mirage13–80.0128%13 Jul
dust29–13-0.0719%13 Jul
dust213–160.0120%13 Jul
dust213–80.0327%13 Jul
nuke6–130.0730%13 Jul
ancient13–90.0620%10 Jul
dust23–10.0567%10 Jul
nuke4–13-0.0420%9 Jul
vertigo1–130.0330%9 Jul
mirage11–130.0229%9 Jul
dust213–80.0732%9 Jul
ancient13–90.0615%9 Jul
dust213–110.0627%8 Jul
office13–50.0627%8 Jul
dust26–30.1125%7 Jul
cache13–50.0435%7 Jul
overpass10–130.0326%5 Jul
anubis8–13-0.0133%5 Jul
dust23–130.0037%1 Jul
office7–13-0.0518%1 Jul
cache8–13-0.0423%1 Jul
anubis15–150.0229%1 Jul
ancient16–140.0919%1 Jul
inferno6–130.1226%1 Jul
dust213–100.0318%1 Jul
ancient10–130.0017%1 Jul
nuke13–50.0739%1 Jul
anubis9–13-0.0235%1 Jul
ancient13–90.0634%1 Jul
ancient0–13-0.0217%1 Jul
nuke8–13-0.0130%30 Jun
mirage13–8-0.1029%30 Jun
ancient9–13-0.0232%30 Jun
mirage13–80.0229%30 Jun
dust214–16-0.0419%29 Jun
mirage8–130.0539%29 Jun
nuke10–13-0.0330%29 Jun
anubis7–13-0.0420%28 Jun
nuke13–50.0621%26 Jun
dust213–80.0435%26 Jun
nuke7–130.1029%26 Jun
mirage11–13-0.0226%25 Jun
ancient13–110.0426%25 Jun
nuke16–130.0521%24 Jun
anubis9–130.0731%24 Jun
anubis13–8-0.0219%23 Jun
anubis14–160.0433%23 Jun
mirage10–13-0.0413%22 Jun
dust213–40.0124%22 Jun
nuke16–140.0425%22 Jun
mirage13–11-0.0127%22 Jun
poseidon9–60.0625%22 Jun
inferno8–80.0431%22 Jun
office0–11-0.0533%22 Jun
mirage8–130.0229%21 Jun
overpass13–40.0228%21 Jun
mirage8–13-0.0114%21 Jun
dust28–130.0427%21 Jun
ancient13–70.0229%21 Jun
mirage9–130.0234%21 Jun
nuke8–130.0122%21 Jun
nuke6–130.0215%21 Jun
cache13–50.0044%20 Jun
nuke7–130.0322%20 Jun
dust26–130.0237%20 Jun
mirage11–13-0.0225%20 Jun
dust213–80.0116%19 Jun
train12–12-0.0220%17 Jun
train13–100.0220%17 Jun
anubis13–100.0831%16 Jun
cache12–120.0028%16 Jun
inferno11–13-0.0115%15 Jun
dust213–11-0.0220%15 Jun
dust213–7-0.0422%14 Jun
mirage13–110.0117%14 Jun
mirage10–13-0.0320%11 Jun
cache12–120.0329%10 Jun
inferno13–4-0.0126%10 Jun

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 →