ESPÍRITU DE FUEGO

ESPÍRITU DE FUEGO — CS2 Stats

76561199229456049[U:1:1269190321]Steam profile ↗✓ No bans

1,398Tracked matches48%Win rate2023Tracked since
1,434Hours in CS1Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,763 → 1,763
+1Tracked matches · now 1,398
0.0ppWin rate · 48.3% → 48.3%

Rating over time

Premier CS Rating: 17,700 -1,461 9 Apr – 2 Jul · 8 days played
17,47619,466peak 19,4669 Apr2 Jul
19,577Peak Premier in tracked matches
1,763Highest Faceit ELO seen on CSDB
39Days played since 2026-03-23

Faceit ELO

  • At peak — 1,763
  • Next: Level 10 at 2,001 — 238 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate0%——
K/D0.67——
Headshot %50%——

Measured 4 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGESPÍRITU DE FUEGOPEAK ELO1,763csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning49
Utility36

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateLLLWWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.09 avg rating · +0.6pp headshot accuracy · +25ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 27%
  • Avg reaction 586ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 27%
  • Avg reaction 549ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 537ms

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 against its own average).

Aim7.9
Utility3.6
Positioning4.9
Opening Duels3.5
Clutch3.6

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 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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.

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

Aim7.9
Positioning4.9
Utility3.6
Mechanics6.3
Opening Duels2.6
Win Impact4.4

Composite 5.3/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time523ms−84ms
first ⅓ avg 607ms → last ⅓ avg 523ms
Headshot accuracy25.5%+2.7%
first ⅓ avg 22.8% → last ⅓ avg 25.5%

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

0.22Best match rating · 9–4 · vertigo, 15 Jun →
61%Best headshot accuracy · 9–4 · vertigo, 15 Jun →
344msFastest reaction time · 13–6 · ancient, 29 May →
13–0Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
12–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 71% over 7ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%-0.02
dust2A1911–858%-0.02
ancientD165–1131%-0.01
infernoB115–645%-0.04
anubisB105–550%-0.01
cacheS75–271%-0.01
vertigoA53–260%0.03
nuke—33–0100%0.00
debris—21–150%0.10
poseidon—21–150%0.05
train—22–0100%0.11
office—11–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,376Lifetime kills
1.06K/D · Top 50% of tracked players
1,799Matches
50.4%Match win rate · Top 25% of tracked players
52.1%Headshot % · Top 25% of tracked players
6.5%Shot accuracy
6,794MVPs
611Hours (in match)
1,056Bombs planted
381Bombs defused

Most-used weapons

Lifetime map wins

2,843inferno
2,688dust2
2,166vertigo
620nuke
192lake
91train
52cbble
13office

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

Faceit stats

Combat

750Matches
51%Win rate
1.02Avg K/D
84.3ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20453%1.0717.2
Dust214247%0.9816.3
Anubis12851%1.0717.6
Ancient11249%1.0116.9
Inferno8355%1.0216.6
Nuke2654%0.9415.7
Vertigo1850%1.0215.5
Cache1233%0.8915.8

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.

21.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.3%Spray accuracy
78.6%Counter-strafing
8.1°Preaim
535msReaction time
34.6%T opening success
46.4%CT opening success
0.44Enemies flashed / flash
5.7%Flash assists
7.38HE damage / grenade
5.15Flashes / 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 0.4407 — below the 0.5 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 34.5808% — below the 40% mark we flag

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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.140%28 Aug →
inferno1–9-0.1856%25 Aug →
debris5–90.1024%25 Aug →
poseidon9–50.0842%25 Aug →
anubis22–19-0.0913%20 Aug →
dust26–13-0.0344%3 Aug →
mirage9–13-0.0921%19 Jul →
ancient13–8-0.0214%14 Jul →
vertigo0–9-0.1533%9 Jul →
inferno4–9-0.1723%9 Jul →
inferno9–70.0133%9 Jul →
poseidon8–80.0325%9 Jul →
debris9–40.1018%9 Jul →
dust23–13-0.0013%8 Jul →
inferno13–70.0220%8 Jul →
dust216–14-0.037%2 Jul →
mirage3–13-0.090%15 Jun →
mirage13–1-0.0550%15 Jun →
inferno8–80.0535%15 Jun →
vertigo9–40.2261%15 Jun →
mirage12–120.0330%15 Jun →
ancient5–100.0032%14 Jun →
cache6–13-0.0340%2 Jun →
cache13–50.0117%2 Jun →
ancient11–13-0.0616%2 Jun →
inferno5–13-0.117%2 Jun →
mirage9–130.0420%1 Jun →
mirage13–4-0.0029%1 Jun →
mirage14–16-0.0022%31 May →
inferno13–110.0434%31 May →
cache22–180.0126%31 May →
ancient13–6-0.0414%29 May →
ancient13–80.0725%29 May →
ancient13–50.0435%27 May →
dust213–100.0717%27 May →
ancient6–13-0.0217%27 May →
dust211–13-0.0216%26 May →
dust23–13-0.1114%25 May →
dust213–11-0.0226%25 May →
ancient11–130.0115%24 May →
anubis8–13-0.0124%24 May →
mirage13–60.0420%23 May →
ancient3–13-0.0813%23 May →
nuke13–2-0.0311%23 May →
dust213–30.0621%23 May →
ancient8–13-0.0323%23 May →
anubis16–140.0726%23 May →
cache13–9-0.0125%23 May →
cache13–110.0233%22 May →
mirage16–130.0527%22 May →
nuke13–50.0641%22 May →
anubis8–130.0220%20 May →
cache9–13-0.0632%20 May →
ancient14–16-0.0017%19 May →
dust213–6-0.1036%5 May →
inferno8–13-0.1015%30 Apr →
anubis4–130.0033%30 Apr →
cache13–0-0.0032%29 Apr →
ancient13–110.0233%27 Apr →
vertigo9–13-0.0439%27 Apr →
vertigo13–90.0938%27 Apr →
mirage13–30.0121%25 Apr →
inferno6–13-0.0147%24 Apr →
train13–100.1436%23 Apr →
train13–70.0728%23 Apr →
anubis8–13-0.0329%23 Apr →
vertigo13–00.0543%14 Apr →
dust211–13-0.096%13 Apr →
ancient13–16-0.0220%13 Apr →
ancient23–25-0.0116%13 Apr →
mirage13–5-0.0625%13 Apr →
dust21–3-0.0838%13 Apr →
dust216–14-0.0320%12 Apr →
mirage13–10-0.0331%12 Apr →
mirage13–6-0.0722%12 Apr →
anubis10–13-0.0727%11 Apr →
mirage11–13-0.0132%11 Apr →
inferno13–2-0.0219%11 Apr →
ancient8–13-0.0226%11 Apr →
mirage16–14-0.0418%11 Apr →
mirage15–19-0.0023%11 Apr →
anubis13–4-0.0029%11 Apr →
mirage16–13-0.0430%11 Apr →
dust213–7-0.0425%11 Apr →
mirage10–13-0.0129%10 Apr →
nuke13–6-0.0214%10 Apr →
mirage13–90.0317%10 Apr →
inferno13–70.0225%10 Apr →
mirage12–16-0.0314%10 Apr →
anubis13–60.0014%10 Apr →
ancient11–130.0511%10 Apr →
dust211–130.0138%10 Apr →
anubis2–0-0.010%10 Apr →
dust213–8-0.0520%9 Apr →
dust213–90.1021%9 Apr →
dust213–11-0.0223%7 Apr →
mirage11–130.0113%7 Apr →
dust213–9-0.0136%6 Apr →
dust210–13-0.0323%6 Apr →
office13–11-0.0049%23 Mar →

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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