Son Diego

Son Diego — CS2 Stats

CN76561197979617804[U:1:19352076]Steam profile ↗✓ No bans

295Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating11,439Blue band · top ~47.3% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (14 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: 11,439 -2,373 13 Mar – 22 Oct · 11 days played
11,43914,813peak 14,81313 Mar22 Oct
14,813Peak Premier in tracked matches
984Highest Faceit ELO seen on CSDB
52Days played since 2026-01-24

Faceit ELO

  • At peak — 984
  • Next: Level 5 at 1,051 — 67 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 3,374 below peak (14,813)
  • Next: Purple band at 15,000 — 3,561 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGSon DiegoPREMIER11,439 · Blue bandPEAK ELO984csdb.gg/stats

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Performance scores

Aim77
Positioning60
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateWLLWLWWWWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +0.9pp headshot accuracy · −35ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 511ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 495ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

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 (+1.8 against its own average).

Aim7.7
Utility5.9
Positioning6.0
Opening Duels2.1
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 86% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.7
Positioning6.0
Utility5.9
Mechanics5.2
Opening Duels4.3
Win Impact7.4

Composite 6.0/10 (Solid), 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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time528ms−92ms
first ⅓ avg 620ms → last ⅓ avg 528ms
Headshot accuracy16.8%−0.2%
first ⅓ avg 17.1% → last ⅓ avg 16.8%

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

0.24Best match rating · 9–0 · inferno, 8 Oct →
36%Best headshot accuracy · 13–2 · nuke, 27 Feb →
359msFastest reaction time · 2–13 · dust2, 22 Oct →
13–1Biggest win · vertigo, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 65% over 23nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C3715–2241%-0.01
infernoS2315–865%0.01
nukeD103–730%-0.02
ancientD103–730%-0.03
mirageD93–633%-0.02
anubis—43–175%-0.04
overpass—31–233%-0.02
cache—22–0100%-0.03
office—11–0100%0.15
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

59Matches
59%Win rate
0.98Avg K/D
73.0ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21968%1.1114.4
Inferno1267%1.0911.8
Ancient1060%0.7612.3
Anubis862%0.8712.6
Nuke633%0.9714.0
Mirage333%0.9115.0
Overpass10%0.6012.0

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.

16.7%Headshot accuracy
34.2%Accuracy (enemy spotted)
42.6%Spray accuracy
73.2%Counter-strafing
7.9°Preaim
524msReaction time
53.5%T opening success
40.8%CT opening success
0.58Enemies flashed / flash
4.1%Flash assists
10.61HE damage / grenade
7.33Flashes / 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–60.1513%3 Nov →
dust22–13-0.0517%22 Oct →
mirage9–13-0.0318%22 Oct →
nuke13–40.0612%20 Oct →
mirage7–13-0.0615%20 Oct →
inferno13–40.0228%18 Oct →
ancient13–80.0028%18 Oct →
mirage16–140.0322%9 Oct →
inferno16–13-0.0117%8 Oct →
ancient10–13-0.0414%8 Oct →
nuke9–13-0.069%8 Oct →
inferno9–00.2417%8 Oct →
inferno9–40.1822%8 Oct →
ancient11–13-0.036%1 Oct →
dust213–6-0.0024%29 Sept →
mirage11–13-0.0021%27 Sept →
mirage7–13-0.0313%25 Sept →
vertigo13–10.0924%23 Sept →
dust212–12-0.0015%22 Sept →
dust25–13-0.0423%22 Sept →
inferno9–40.0314%21 Sept →
inferno12–12-0.0313%21 Sept →
dust25–13-0.0318%19 Sept →
anubis13–10-0.0113%13 Sept →
dust213–11-0.0017%13 Sept →
dust213–50.0711%11 Sept →
dust213–40.0417%10 Sept →
cache10–5-0.015%10 Sept →
inferno12–16-0.0315%3 Sept →
dust213–100.0116%3 Sept →
dust213–30.0513%1 Sept →
nuke9–13-0.0527%1 Sept →
dust213–3-0.0320%1 Sept →
dust29–13-0.0015%25 Aug →
inferno13–80.0119%20 Aug →
dust22–13-0.0428%17 Aug →
ancient3–13-0.0716%17 Aug →
inferno13–10-0.0627%14 Aug →
inferno11–13-0.0310%14 Aug →
inferno13–11-0.0131%12 Aug →
nuke8–11-0.0317%3 Aug →
dust29–13-0.0621%3 Aug →
inferno6–9-0.0916%15 May →
cache13–8-0.0517%15 May →
inferno9–5-0.0520%8 May →
inferno9–10.1323%7 May →
mirage6–13-0.0116%7 May →
dust24–13-0.0528%30 Apr →
nuke11–13-0.0426%30 Apr →
dust25–13-0.048%30 Apr →
mirage13–6-0.0126%24 Apr →
dust25–13-0.1217%24 Apr →
ancient13–10-0.0423%24 Apr →
anubis13–8-0.0326%17 Apr →
dust213–16-0.0323%17 Apr →
dust24–13-0.0911%17 Apr →
inferno13–100.0418%16 Apr →
dust27–130.0013%12 Apr →
ancient13–10-0.0417%10 Apr →
inferno13–9-0.0411%10 Apr →
ancient9–13-0.0930%1 Apr →
inferno10–130.0017%1 Apr →
dust213–110.0225%29 Mar →
ancient9–130.0721%19 Mar →
dust215–150.0436%19 Mar →
dust213–6-0.0025%18 Mar →
ancient15–19-0.0410%15 Mar →
nuke12–12-0.0421%14 Mar →
dust213–6-0.0715%14 Mar →
overpass14–16-0.0115%14 Mar →
mirage16–12-0.0125%13 Mar →
dust210–13-0.0426%13 Mar →
dust29–130.0012%13 Mar →
anubis13–7-0.0510%13 Mar →
dust22–13-0.067%9 Mar →
inferno3–13-0.0526%9 Mar →
dust213–100.0127%4 Mar →
dust28–13-0.0616%4 Mar →
dust213–70.0111%27 Feb →
inferno5–13-0.0417%27 Feb →
nuke13–20.0536%27 Feb →
dust212–12-0.0728%27 Feb →
overpass13–10-0.0423%16 Feb →
nuke9–13-0.049%16 Feb →
dust211–130.0116%13 Feb →
nuke13–50.0317%13 Feb →
dust213–90.0012%11 Feb →
inferno13–20.0813%11 Feb →
dust213–11-0.0120%8 Feb →
dust211–130.0214%5 Feb →
anubis15–15-0.0520%5 Feb →
nuke6–13-0.0521%29 Jan →
dust25–130.0312%29 Jan →
inferno2–13-0.0517%29 Jan →
mirage12–12-0.0217%28 Jan →
inferno13–20.014%24 Jan →
inferno13–40.0323%24 Jan →
ancient13–16-0.0410%24 Jan →
dust213–40.109%24 Jan →
overpass7–13-0.0013%24 Jan →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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