El Lobo

El Lobo — CS2 Stats

ES76561198169427742[U:1:209162014]Steam profile ↗✓ No bans

2,683Tracked matches25%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating10,576Blue band · top ~51.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−687Premier CS Rating · 11,263 → 10,576

Rating over time

Premier CS Rating: 10,576 -1,230 5 Aug – 14 Oct · 32 days played
10,34014,259peak 14,2595 Aug14 Oct
14,259Peak Premier in tracked matches
42Days played since 2026-08-05

Premier CS Rating

  • 3,683 below peak (14,259)
  • -2,600 over 30 days · declining
  • Next: Purple band at 15,000 — 4,424 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-17
  • Light Blue band first seen 2026-09-17

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

Share this profile

CSDB.GGEl LoboFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,576 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning60
Utility34

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLLLLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −4.2pp headshot accuracy · +8ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 614ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 615ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

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 (+1.5 against its own average).

Aim6.6
Utility3.4
Positioning6.0
Opening Duels4.1
Clutch4.4

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

donk

Plays most like donk 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 616ms 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

Aim6.6
Positioning6.0
Utility3.4
Mechanics5.6
Opening Duels5.6
Win Impact0.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time622ms−80ms
first ⅓ avg 702ms → last ⅓ avg 622ms
Headshot accuracy21.3%−2.2%
first ⅓ avg 23.5% → last ⅓ avg 21.3%

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

0.16Best match rating · 13–0 · dust2, 15 Sept →
50%Best headshot accuracy · 2–13 · inferno, 14 Aug →
422msFastest reaction time · 4–13 · ancient, 24 Sept →
13–0Biggest win · dust2, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L12Current streak
4–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 67% over 6ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%-0.01
mirageC2310–1343%-0.00
dust2A2212–1055%0.01
ancientD82–625%-0.02
cacheD72–529%-0.03
trainS64–267%0.01
anubis—41–325%-0.05
vertigo—31–233%-0.02
nuke—21–150%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

247Matches
48%Win rate
0.86Avg K/D
79.9ADR
42%Headshot %

Clutches & streaks

42%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3047%1.0616.7
Dust21753%1.0114.0
Inferno1573%1.2316.1
Nuke1250%1.1016.8
Anubis956%1.0816.0
Ancient650%1.2324.2
Cache540%1.1614.2
Train1100%1.7521.0

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.

21.0%Headshot accuracy
35.6%Accuracy (enemy spotted)
32.0%Spray accuracy
75.1%Counter-strafing
9.4°Preaim
616msReaction time
55.9%T opening success
49.1%CT opening success
0.51Enemies flashed / flash
5.2%Flash assists
12.26HE damage / grenade
3.43Flashes / 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 3.4314 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0321%14 Oct →
inferno11–130.0326%14 Oct →
inferno10–13-0.0422%13 Oct →
dust211–13-0.0425%13 Oct →
inferno10–13-0.0123%12 Oct →
dust23–13-0.0110%12 Oct →
inferno9–13-0.0213%12 Oct →
ancient10–13-0.0115%12 Oct →
dust26–13-0.0318%12 Oct →
dust24–130.0415%12 Oct →
inferno5–13-0.0230%12 Oct →
train6–13-0.0033%12 Oct →
dust213–100.0415%12 Oct →
cache8–13-0.0415%12 Oct →
inferno6–13-0.0526%11 Oct →
mirage9–130.0218%11 Oct →
inferno16–14-0.0214%10 Oct →
anubis9–13-0.0517%10 Oct →
cache13–60.0430%10 Oct →
mirage10–130.0233%27 Sept →
cache13–9-0.0624%27 Sept →
mirage10–130.0019%26 Sept →
inferno15–150.0325%25 Sept →
nuke13–60.0427%25 Sept →
inferno5–13-0.0811%24 Sept →
ancient4–13-0.0421%24 Sept →
dust25–13-0.0413%24 Sept →
inferno16–140.0324%24 Sept →
mirage12–12-0.0127%23 Sept →
mirage13–70.0214%23 Sept →
mirage13–100.0138%22 Sept →
inferno16–13-0.0619%21 Sept →
ancient7–13-0.0422%20 Sept →
ancient3–130.0524%20 Sept →
mirage16–120.0228%20 Sept →
dust210–13-0.0522%17 Sept →
cache6–13-0.0416%15 Sept →
inferno13–100.0025%15 Sept →
dust213–00.1615%15 Sept →
dust28–13-0.0638%15 Sept →
inferno13–11-0.0419%13 Sept →
mirage13–80.0219%13 Sept →
inferno4–13-0.0618%13 Sept →
mirage2–90.0335%12 Sept →
anubis16–14-0.0418%9 Sept →
mirage13–8-0.0013%9 Sept →
ancient13–4-0.0420%9 Sept →
ancient0–13-0.0223%9 Sept →
mirage13–10-0.0429%9 Sept →
dust213–100.0833%9 Sept →
mirage13–4-0.0518%8 Sept →
ancient13–7-0.0719%8 Sept →
anubis1–13-0.0815%7 Sept →
dust211–130.0417%6 Sept →
dust213–10-0.0316%6 Sept →
dust213–10-0.0017%5 Sept →
dust213–70.0523%5 Sept →
mirage13–20.0431%4 Sept →
nuke7–13-0.0421%1 Sept →
vertigo9–2-0.039%1 Sept →
inferno11–13-0.0622%1 Sept →
inferno13–90.0420%1 Sept →
dust21–13-0.1143%29 Aug →
dust22–13-0.0427%27 Aug →
train13–5-0.0138%25 Aug →
train13–2-0.0424%25 Aug →
dust213–10-0.0230%24 Aug →
dust213–10-0.0120%24 Aug →
inferno13–20.0645%24 Aug →
mirage4–120.0229%23 Aug →
inferno13–10-0.0428%21 Aug →
inferno4–130.0214%21 Aug →
inferno12–120.1020%20 Aug →
train13–100.0719%20 Aug →
vertigo1–130.0323%20 Aug →
mirage8–130.0320%19 Aug →
vertigo9–13-0.0517%18 Aug →
dust213–30.1431%17 Aug →
dust213–100.0224%17 Aug →
inferno2–13-0.0550%14 Aug →
mirage4–13-0.0518%13 Aug →
train4–13-0.0631%12 Aug →
train5–00.127%12 Aug →
mirage3–13-0.0426%12 Aug →
mirage4–80.0426%12 Aug →
mirage13–60.0237%12 Aug →
dust213–70.0533%12 Aug →
mirage11–13-0.0614%12 Aug →
dust213–20.0813%12 Aug →
inferno6–13-0.0425%12 Aug →
mirage11–130.0113%12 Aug →
mirage1–13-0.0531%11 Aug →
ancient8–13-0.0316%9 Aug →
mirage4–13-0.079%9 Aug →
cache2–13-0.0912%8 Aug →
inferno13–10-0.0327%8 Aug →
cache4–13-0.0732%8 Aug →
cache8–130.0118%7 Aug →
inferno13–100.0926%5 Aug →
anubis14–16-0.0221%5 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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