Sancho Pendéz ¥

Sancho Pendéz ¥ — CS2 Stats

MX76561198208291773[U:1:248026045]Steam profile ↗✓ No bans

1,055Tracked matches37%Win rate2020Tracked since
2,116Hours in CS
CSDB Rating6.6 SolidPositional Player
Premier CS Rating21,133Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#68988 of 261544 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,133 +464 3 Oct – 12 Nov · 32 days played
20,66924,349peak 24,3493 Oct12 Nov
24,349Peak Premier in tracked matches
32Days played since 2026-10-03

Premier CS Rating

  • 3,216 below peak (24,349)
  • -1,347 over 30 days · declining
  • Next: Red band at 25,000 — 3,867 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 medianRed band medianvs Red band
Headshot rate48.2%46.9%49.3%1.1% short
Shot accuracy10.9%13.0%13.4%2.4% short
Kill/death ratio1.081.081.120.04 short
Match win rate46.5%46.7%48.5%2.0% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGSancho Pendéz ¥PREMIER21,133 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning67
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLWLLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +6.2pp headshot accuracy · −4ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 530ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 545ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 547ms

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 (+2.2 against its own average).

Aim8.8
Utility4.3
Positioning6.7
Opening Duels3.5
Clutch3.6

Sharp aimerStrong CT-side openerLimited 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

iM

Plays most like iM 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8
Positioning6.7
Utility4.3
Mechanics7.3
Opening Duels6.7
Win Impact0.6

Composite 6.6/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time552ms−30ms
first ⅓ avg 582ms → last ⅓ avg 552ms
Headshot accuracy22.7%+2.3%
first ⅓ avg 20.5% → last ⅓ avg 22.7%

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.

Personal bests

0.15Best match rating · 13–4 · inferno, 3 Oct →
50%Best headshot accuracy · 5–13 · dust2, 23 Oct →
391msFastest reaction time · 4–13 · inferno, 12 Nov →
13–2Biggest win · mirage, 15 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 60% over 10infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2916–1355%0.02
mirageB189–950%0.02
infernoD164–1225%0.02
ancientB157–847%-0.00
nukeA106–460%0.02
cacheA74–357%0.01
anubisC52–340%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,202Lifetime kills
1.08K/D · Top 50% of Pink band
4,950Matches
46.5%Match win rate
48.2%Headshot % · Top 50% of Pink band
10.9%Shot accuracy
14,706MVPs
2,116Hours (in match)
2,061Bombs planted
987Bombs defused

Most-used weapons

AK-4731,590
AWP13,749
FAMAS2,386
P902,042
SSG 081,762

Lifetime map wins

12,657dust2
10,518office
5,221nuke
2,784inferno
1,018vertigo
333train
130cbble
69bank

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

Faceit stats

Combat

144Matches
51%Win rate
1.30Avg K/D
92.7ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6055%1.3819.1
Dust23358%1.3619.9
Nuke2148%1.4419.7
Anubis1118%0.9712.9
Vertigo475%1.4612.3
Ancient333%0.9215.3
Inferno250%0.9217.0
Cache1100%1.6024.0

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.

21.3%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.5%Spray accuracy
83.0%Counter-strafing
6.9°Preaim
549msReaction time
57.0%T opening success
56.5%CT opening success
0.67Enemies flashed / flash
10.9%Flash assists
8.36HE damage / grenade
2.18Flashes / 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 2.1784 — below the 4 mark we flag

    Grenade Lineups →
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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–16-0.0517%12 Nov →
ancient13–80.0328%12 Nov →
inferno4–130.0515%12 Nov →
dust213–80.0330%12 Nov →
anubis14–160.0619%11 Nov →
ancient4–13-0.0729%11 Nov →
inferno5–13-0.0224%11 Nov →
nuke13–9-0.0426%10 Nov →
dust213–70.0734%10 Nov →
dust21–13-0.0536%9 Nov →
ancient13–70.0822%9 Nov →
inferno2–13-0.0324%9 Nov →
dust24–130.019%7 Nov →
anubis8–130.0314%7 Nov →
inferno13–9-0.0516%7 Nov →
inferno9–130.0224%6 Nov →
mirage13–50.0127%6 Nov →
mirage14–16-0.0123%6 Nov →
mirage11–130.0315%6 Nov →
cache13–100.0124%6 Nov →
mirage16–130.0018%6 Nov →
dust29–13-0.048%5 Nov →
dust24–13-0.037%5 Nov →
dust213–80.0019%5 Nov →
inferno5–13-0.0324%5 Nov →
mirage14–160.0231%5 Nov →
dust210–13-0.008%4 Nov →
inferno14–160.0624%3 Nov →
dust213–110.0125%3 Nov →
dust29–130.0425%3 Nov →
ancient9–130.0023%3 Nov →
cache16–140.0637%2 Nov →
nuke13–40.1348%2 Nov →
mirage13–11-0.008%2 Nov →
inferno1–13-0.0319%2 Nov →
mirage13–60.1116%1 Nov →
ancient13–8-0.0317%1 Nov →
anubis16–140.007%31 Oct →
dust213–60.1120%31 Oct →
nuke8–130.0221%31 Oct →
mirage3–130.0318%31 Oct →
cache7–130.0527%30 Oct →
mirage13–90.0332%30 Oct →
nuke5–130.0334%30 Oct →
dust213–30.0423%30 Oct →
ancient13–10-0.0314%30 Oct →
ancient7–130.0313%29 Oct →
dust213–16-0.0424%29 Oct →
dust213–50.1312%29 Oct →
dust213–9-0.0322%29 Oct →
dust24–13-0.0230%29 Oct →
mirage13–70.0423%28 Oct →
mirage11–13-0.009%26 Oct →
inferno15–15-0.0123%26 Oct →
dust24–13-0.0812%25 Oct →
ancient10–13-0.0413%25 Oct →
dust25–13-0.0350%23 Oct →
cache9–13-0.0322%23 Oct →
ancient15–150.0626%22 Oct →
cache13–50.0214%22 Oct →
nuke11–130.0713%22 Oct →
inferno14–160.0419%20 Oct →
inferno13–50.0916%20 Oct →
cache13–8-0.0112%18 Oct →
mirage10–130.0219%18 Oct →
ancient6–13-0.0814%18 Oct →
nuke13–10-0.0525%16 Oct →
dust213–80.0324%16 Oct →
dust211–130.0419%15 Oct →
anubis13–100.0117%15 Oct →
ancient11–13-0.0618%15 Oct →
mirage13–20.0023%15 Oct →
inferno13–90.0314%15 Oct →
nuke13–5-0.0019%15 Oct →
mirage10–130.0024%14 Oct →
mirage13–110.0419%14 Oct →
inferno7–13-0.0233%14 Oct →
dust213–60.0229%13 Oct →
cache10–13-0.0416%13 Oct →
dust213–110.0725%12 Oct →
mirage2–13-0.054%11 Oct →
nuke13–50.014%8 Oct →
mirage8–13-0.0522%8 Oct →
dust213–16-0.0227%8 Oct →
dust213–80.0019%7 Oct →
dust213–30.1226%7 Oct →
dust213–110.0511%7 Oct →
dust213–70.0617%7 Oct →
anubis8–130.0620%7 Oct →
inferno10–130.1231%6 Oct →
ancient13–110.0419%6 Oct →
nuke13–90.0421%5 Oct →
ancient13–40.0425%5 Oct →
dust213–80.0026%5 Oct →
inferno13–40.1528%3 Oct →
inferno9–130.0119%3 Oct →
nuke11–130.029%3 Oct →
mirage13–80.0623%3 Oct →
ancient9–13-0.029%3 Oct →
ancient8–00.0435%3 Oct →

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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