Saco de Capitán

Saco de Capitán — CS2 Stats

CR76561198068037267[U:1:107771539]Steam profile ↗✓ No bans

1,100Tracked matches34%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating12,481Blue band · top ~41.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−940Premier CS Rating · 13,421 → 12,481

Rating over time

Premier CS Rating: 12,481 +2,953 18 Jul – 12 Oct · 21 days played
9,52816,568peak 16,56818 Jul12 Oct
17,276Peak Premier in tracked matches
1,335Highest Faceit ELO seen on CSDB
22Days played since 2026-07-16

Premier CS Rating

  • 4,087 below peak (16,568)
  • -2,519 over 30 days · declining
  • +2,953 over 90 days
  • Next: Purple band at 15,000 — 2,519 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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.

Share this profile

CSDB.GGSaco de CapitánPREMIER12,481 · Blue bandPEAK ELO1,335csdb.gg/stats

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Performance scores

Aim68
Positioning55
Utility39

0–100 skill scores via Leetify.

Recent form

COLD53–45–2Last 10053%Win rateLLWLWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · +98ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 652ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 697ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 648ms

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).

Aim6.8
Utility3.9
Positioning5.5
Opening Duels2.2
Clutch2.6

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 56% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 667ms 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

Aim6.8
Positioning5.5
Utility3.9
Mechanics7.5
Opening Duels4.5
Win Impact0.0

Composite 5.0/10 (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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time650ms+28ms
first ⅓ avg 621ms → last ⅓ avg 650ms
Headshot accuracy21.2%+3.7%
first ⅓ avg 17.5% → last ⅓ avg 21.2%

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

0.16Best match rating · 13–6 · ancient, 18 Jul →
100%Best headshot accuracy · 0–4 · mirage, 30 Aug →
445msFastest reaction time · 13–4 · ancient, 5 Aug →
13–0Biggest win · nuke, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 73% over 11nukeWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%0.00
infernoA1911–858%0.01
nukeC166–1038%-0.03
ancientA127–558%0.02
cacheS118–373%-0.00
anubisA117–464%-0.01
mirage—42–250%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

545Matches
51%Win rate
1.02Avg K/D
74.5ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
13%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2646%0.9413.9
Dust22162%1.3817.4
Anubis1631%0.9715.2
Ancient1323%0.9312.8
Overpass838%0.8211.5
Mirage40%0.629.0
Nuke333%0.6710.3
Train367%0.9515.7

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.

19.6%Headshot accuracy
35.2%Accuracy (enemy spotted)
29.2%Spray accuracy
83.9%Counter-strafing
7.9°Preaim
667msReaction time
55.6%T opening success
40.4%CT opening success
0.53Enemies flashed / flash
4.7%Flash assists
8.48HE damage / grenade
5.04Flashes / match

Recommended for you

Spend your practice time on Nuke

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–130.0324%12 Oct →
ancient9–13-0.046%11 Oct →
cache13–10-0.0430%11 Oct →
inferno7–13-0.079%5 Oct →
mirage13–4-0.1011%5 Oct →
dust28–13-0.0617%5 Oct →
cache11–13-0.0020%5 Oct →
dust210–130.0123%27 Sept →
dust213–9-0.0319%24 Sept →
dust213–16-0.0324%23 Sept →
nuke2–13-0.1028%19 Sept →
dust215–150.0021%19 Sept →
ancient8–13-0.0126%19 Sept →
mirage13–90.0528%19 Sept →
ancient13–40.0236%19 Sept →
dust22–13-0.0316%19 Sept →
inferno13–11-0.0325%19 Sept →
nuke11–13-0.0516%19 Sept →
anubis13–10-0.0113%19 Sept →
nuke2–13-0.0710%30 Aug →
mirage0–4-0.02100%30 Aug →
nuke7–13-0.1112%30 Aug →
anubis10–13-0.0614%30 Aug →
mirage6–13-0.118%30 Aug →
dust213–40.0720%24 Aug →
dust28–13-0.0318%24 Aug →
nuke6–13-0.0637%24 Aug →
dust29–130.0010%24 Aug →
cache13–11-0.0320%24 Aug →
ancient13–6-0.0012%24 Aug →
dust29–13-0.0523%17 Aug →
nuke13–50.0412%17 Aug →
ancient13–60.0712%17 Aug →
dust213–110.0113%17 Aug →
dust214–16-0.0220%5 Aug →
ancient13–4-0.0320%5 Aug →
inferno9–13-0.1019%5 Aug →
dust213–8-0.0226%5 Aug →
inferno8–130.0931%5 Aug →
inferno13–10-0.0420%5 Aug →
inferno3–13-0.010%2 Aug →
inferno7–13-0.0313%2 Aug →
anubis13–80.0416%1 Aug →
cache13–10-0.017%1 Aug →
nuke13–00.0533%1 Aug →
anubis13–40.0325%1 Aug →
inferno13–00.0219%1 Aug →
dust29–130.0229%31 Jul →
anubis10–130.0332%31 Jul →
dust213–7-0.0218%31 Jul →
dust213–80.0212%31 Jul →
inferno13–100.0214%31 Jul →
dust25–13-0.0123%31 Jul →
inferno13–40.0045%30 Jul →
anubis16–130.0116%30 Jul →
ancient13–4-0.0117%30 Jul →
dust215–15-0.0218%30 Jul →
dust25–13-0.0212%29 Jul →
cache13–40.0318%29 Jul →
nuke11–13-0.0617%29 Jul →
anubis13–11-0.0129%29 Jul →
ancient2–13-0.0110%29 Jul →
inferno13–110.0113%29 Jul →
dust213–80.0835%29 Jul →
inferno13–110.0723%29 Jul →
cache2–13-0.088%29 Jul →
cache13–110.0310%22 Jul →
nuke13–9-0.0116%22 Jul →
dust213–11-0.0114%22 Jul →
inferno13–100.0120%22 Jul →
dust213–7-0.0019%22 Jul →
anubis13–11-0.0114%22 Jul →
inferno11–130.0718%22 Jul →
cache13–80.0722%22 Jul →
nuke13–20.0216%22 Jul →
ancient13–70.0515%22 Jul →
anubis8–13-0.0513%22 Jul →
dust213–50.1019%22 Jul →
inferno13–10.1023%21 Jul →
ancient11–13-0.0210%21 Jul →
inferno9–13-0.0018%21 Jul →
anubis14–16-0.006%21 Jul →
inferno5–13-0.0211%20 Jul →
dust216–14-0.0411%20 Jul →
nuke4–13-0.1210%20 Jul →
nuke10–13-0.0316%19 Jul →
cache13–50.1017%19 Jul →
anubis13–8-0.0616%19 Jul →
cache2–7-0.030%19 Jul →
nuke13–70.0527%18 Jul →
dust20–9-0.0533%18 Jul →
dust24–130.0644%18 Jul →
cache6–13-0.0619%18 Jul →
nuke13–10-0.0411%18 Jul →
inferno13–80.0614%18 Jul →
ancient13–60.1619%18 Jul →
inferno13–5-0.0111%18 Jul →
nuke8–13-0.0218%18 Jul →
dust213–20.0932%18 Jul →
ancient8–130.0825%16 Jul →

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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