hector salamanca

hector salamanca — CS2 Stats

EH76561198167351579[U:1:207085851]Steam profile ↗✓ No bans

1,283Tracked matches47%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating21,556Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63278 of 261550 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,283 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,556 +3,735 9 Aug – 6 Nov · 22 days played
16,68322,641peak 22,6419 Aug6 Nov
24,166Peak Premier in tracked matches
1,591Highest Faceit ELO seen on CSDB
20Days played since 2025-08-01

Premier CS Rating

  • 1,085 below peak (22,641)
  • 0 over 30 days · steady
  • -967 over 90 days
  • Next: Red band at 25,000 — 3,444 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

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.GGhector salamancaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,556 · Pink bandPEAK ELO1,591csdb.gg/stats

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Performance scores

Aim67
Positioning51
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLLLLWWWLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −8.1pp headshot accuracy · −26ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 572ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 615ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 628ms

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 (+1.9 against its own average).

Aim6.7
Utility2.7
Positioning5.1
Opening Duels4.8
Clutch0.0

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

s1mple

Plays most like s1mple 95% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 643ms 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
Positioning5.1
Utility2.7
Mechanics6.9
Opening Duels4.4
Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time653ms−24ms
first ⅓ avg 678ms → last ⅓ avg 653ms
Headshot accuracy27.0%+6.7%
first ⅓ avg 20.3% → last ⅓ avg 27.0%

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

0.11Best match rating · 13–2 · dust2, 4 Sept →
60%Best headshot accuracy · 8–13 · cache, 30 Jul →
406msFastest reaction time · 11–13 · inferno, 29 Aug →
13–1Biggest win · inferno, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 75% over 12cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2416–867%0.01
infernoB189–950%-0.02
ancientA148–657%-0.01
dust2B137–654%-0.01
nukeS129–375%0.00
cacheD72–529%-0.00
anubisA74–357%-0.02
overpass—31–233%0.01
train—20–20%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

819Matches
51%Win rate
1.13Avg K/D
79.3ADR
42%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%1.2014.9
Ancient540%0.8715.8
Vertigo425%1.0018.0
Inferno475%1.4812.3
Anubis333%1.4619.3
Nuke20%0.8916.5
Overpass1100%2.0827.0

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.

27.1%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.3%Spray accuracy
81.2%Counter-strafing
10.0°Preaim
643msReaction time
43.1%T opening success
52.3%CT opening success
0.32Enemies flashed / flash
8.0%Flash assists
8.59HE damage / grenade
2.35Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3205 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0125%30 Aug →
inferno11–13-0.0120%29 Aug →
cache6–13-0.0330%29 Aug →
mirage11–130.0123%29 Aug →
ancient13–8-0.0415%29 Aug →
nuke13–110.0624%29 Aug →
anubis13–8-0.0226%28 Aug →
inferno5–13-0.0734%28 Aug →
inferno11–13-0.0522%28 Aug →
nuke13–4-0.0333%28 Aug →
mirage10–13-0.0521%28 Aug →
dust213–11-0.0648%28 Aug →
cache13–50.0548%28 Aug →
ancient13–10-0.0126%28 Aug →
anubis8–13-0.0127%28 Aug →
inferno13–4-0.0028%22 Aug →
nuke13–60.0719%30 Jul →
cache8–13-0.0560%30 Jul →
ancient13–16-0.0731%30 Jul →
ancient5–10-0.0526%30 Jul →
mirage13–110.0030%30 Jul →
dust29–13-0.0415%30 Jul →
ancient6–13-0.0522%30 Jul →
cache7–13-0.0524%30 Jul →
mirage7–13-0.0220%30 Jul →
mirage13–70.0115%30 Jul →
mirage13–40.0921%30 Jul →
inferno13–80.0236%30 Jul →
dust216–13-0.0730%30 Jul →
ancient10–130.0316%28 Jul →
dust213–90.0936%28 Jul →
mirage13–9-0.0129%28 Jul →
inferno3–13-0.0113%28 Jul →
dust213–11-0.0613%28 Jul →
dust213–10-0.0026%26 Jul →
inferno13–30.0116%25 Jul →
nuke13–160.0018%25 Jul →
nuke13–5-0.0419%25 Jul →
mirage13–70.0225%25 Jul →
cache13–60.1021%25 Jul →
ancient13–90.0524%25 Jul →
anubis13–100.0218%25 Jul →
mirage13–7-0.0024%25 Jul →
ancient10–13-0.0022%25 Jul →
nuke13–11-0.0220%25 Jul →
anubis8–13-0.0123%20 Jul →
mirage8–130.0332%20 Jul →
ancient13–8-0.0124%20 Jul →
dust215–15-0.0124%20 Jul →
anubis7–13-0.0623%20 Jul →
mirage13–80.0417%20 Jul →
inferno13–80.0118%20 Jul →
ancient13–90.0419%20 Jul →
cache14–16-0.0130%17 Jul →
dust215–150.0140%17 Jul →
inferno6–13-0.0724%17 Jul →
anubis7–1-0.020%17 Jul →
nuke13–90.0030%17 Jul →
dust215–15-0.0429%17 Jul →
mirage13–9-0.0633%17 Jul →
anubis13–6-0.0214%17 Jul →
dust210–130.0244%17 Jul →
mirage13–11-0.0833%17 Jul →
mirage13–20.0417%17 Jul →
inferno8–13-0.0730%16 Jul →
inferno13–10.0328%16 Jul →
nuke13–5-0.0027%16 Jul →
nuke13–80.0740%16 Jul →
cache2–13-0.0454%16 Jul →
mirage10–8-0.0619%19 Oct →
nuke5–13-0.0221%18 Oct →
inferno9–13-0.0213%14 Sept →
mirage10–130.0110%14 Sept →
overpass8–130.0313%14 Sept →
nuke13–11-0.0415%14 Sept →
ancient13–10-0.0621%13 Sept →
mirage13–9-0.0127%13 Sept →
ancient11–13-0.0516%13 Sept →
mirage2–130.0121%5 Sept →
dust213–10-0.0327%5 Sept →
inferno1–70.0219%5 Sept →
ancient13–9-0.0021%4 Sept →
dust213–20.1117%4 Sept →
overpass16–140.0413%4 Sept →
overpass9–13-0.0527%4 Sept →
inferno13–70.0233%4 Sept →
train10–130.0822%4 Sept →
mirage13–70.0828%4 Sept →
inferno13–11-0.0120%4 Sept →
mirage2–90.069%4 Sept →
inferno4–13-0.0912%4 Sept →
dust29–13-0.0716%30 Aug →
mirage13–9-0.0324%30 Aug →
inferno13–10-0.0313%29 Aug →
train11–13-0.0133%29 Aug →
mirage13–70.0212%29 Aug →
inferno13–9-0.0314%29 Aug →
mirage13–70.047%29 Aug →
nuke14–16-0.0220%9 Aug →
ancient13–90.0414%9 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 →

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