Diego Performante

Diego Performante — CS2 Stats

76561198251597730[U:1:291332002]Steam profile ↗✓ No bans

1,223Tracked matches53%Win rate2020Tracked since
1,261Hours in CS14Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
CSDB Leaderboard#73122 of 261547 tracked
FaceitLevel 8 · 1,233 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,811 -381 25 Feb – 27 Apr · 21 days played
20,00022,079peak 22,07925 Feb27 Apr
22,079Peak Premier in tracked matches
1,233Highest Faceit ELO seen on CSDB
58Days played since 2026-02-25

Faceit ELO

  • At peak — 1,233
  • Next: Level 7 at 1,351 — 118 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate46.7%46.8%48.2%1.5% short
Shot accuracy6.1%13.0%13.2%7.1% short
Kill/death ratio1.021.061.070.05 short
Match win rate40.9%46.3%46.9%6.0% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDiego PerformanteFACEITLevel 8 · 1,233 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,233csdb.gg/stats

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Performance scores

Aim77
Positioning57
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLLWWWLWWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.9pp headshot accuracy · −25ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 626ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 582ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

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 (+1.4 against its own average).

Aim7.7
Utility3.9
Positioning5.7
Opening Duels4.0
Clutch3.6

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 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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 →

Strengths & areas to improve

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 62% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 608ms 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

Aim7.7
Positioning5.7
Utility3.9
Mechanics6.5
Opening Duels5.1
Win Impact6.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time614ms−63ms
first ⅓ avg 678ms → last ⅓ avg 614ms
Headshot accuracy18.7%−0.6%
first ⅓ avg 19.3% → last ⅓ avg 18.7%

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

0.23Best match rating · 9–0 · nuke, 25 Feb →
45%Best headshot accuracy · 13–7 · dust2, 1 Apr →
438msFastest reaction time · 13–11 · vertigo, 8 Oct →
13–1Biggest win · ancient, 27 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 70% over 10nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3015–1550%0.02
dust2C188–1044%0.01
anubisB105–550%-0.01
ancientS107–370%0.01
nukeD92–722%0.02
overpassA95–456%0.01
cacheB84–450%0.04
inferno—43–175%0.04
vertigo—22–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,255Lifetime kills
1.02K/D
1,941Matches
40.9%Match win rate
46.7%Headshot %
6.1%Shot accuracy
3,868MVPs
666Hours (in match)
1,070Bombs planted
328Bombs defused

Most-used weapons

Lifetime map wins

1,878dust2
1,386vertigo
1,215nuke
1,061inferno
205train
117cbble
116lake
94office

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

Faceit stats

Combat

526Matches
50%Win rate
1.07Avg K/D
84.9ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage18652%1.1517.6
Anubis7547%1.1017.5
Ancient7457%1.0916.0
Dust26338%0.9215.2
Vertigo3770%0.9916.6
Inferno2148%0.8914.2
Nuke2133%1.2117.1
Overpass1040%1.0217.1

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.

18.2%Headshot accuracy
39.0%Accuracy (enemy spotted)
39.6%Spray accuracy
79.1%Counter-strafing
9.1°Preaim
608msReaction time
62.0%T opening success
38.7%CT opening success
0.60Enemies flashed / flash
4.3%Flash assists
7.08HE damage / grenade
3.94Flashes / 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 3.9385 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.7133% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0425%12 Nov →
cache10–13-0.0323%12 Nov →
anubis16–14-0.0414%12 Nov →
anubis13–8-0.0711%12 Nov →
anubis13–8-0.0117%6 Nov →
cache11–130.1218%6 Nov →
mirage13–100.0713%6 Nov →
ancient13–40.1317%20 Oct →
nuke5–13-0.0515%14 Oct →
mirage7–13-0.056%13 Oct →
dust213–90.0317%13 Oct →
cache19–16-0.0013%13 Oct →
mirage16–190.0714%12 Oct →
dust216–120.0416%9 Oct →
cache13–2-0.0117%9 Oct →
vertigo13–11-0.0613%8 Oct →
anubis12–16-0.0215%30 Sept →
mirage13–80.0238%18 Sept →
mirage14–160.0320%12 Sept →
mirage13–110.0423%11 Sept →
mirage13–7-0.0313%10 Sept →
mirage9–130.0110%9 Sept →
nuke9–13-0.0626%8 Sept →
anubis13–30.1230%2 Sept →
mirage9–130.0817%1 Sept →
mirage13–100.0918%22 Aug →
cache6–130.0329%22 Aug →
dust29–13-0.0421%20 Aug →
inferno13–30.1035%16 Aug →
dust25–130.0020%20 Jul →
mirage4–13-0.0218%20 Jul →
cache13–40.0816%17 Jul →
cache8–130.0521%10 Jul →
cache13–110.0611%16 May →
ancient13–11-0.0519%27 Apr →
mirage7–130.0317%24 Apr →
vertigo9–5-0.0121%23 Apr →
mirage13–50.007%19 Apr →
inferno13–100.0517%17 Apr →
nuke13–70.0340%17 Apr →
ancient13–8-0.0424%17 Apr →
overpass11–130.0219%16 Apr →
anubis7–130.0020%12 Apr →
overpass14–160.0416%12 Apr →
mirage6–130.0416%11 Apr →
overpass13–110.0027%10 Apr →
mirage13–80.0118%10 Apr →
overpass13–80.0318%10 Apr →
mirage6–13-0.0320%9 Apr →
ancient13–160.0317%8 Apr →
dust29–130.0232%7 Apr →
mirage13–110.0018%7 Apr →
nuke6–130.0421%5 Apr →
dust23–130.0714%5 Apr →
mirage1–13-0.0813%5 Apr →
ancient13–100.0520%1 Apr →
nuke15–150.0720%1 Apr →
mirage10–130.0112%1 Apr →
dust213–70.0145%1 Apr →
overpass13–100.0120%1 Apr →
anubis8–13-0.0121%31 Mar →
mirage13–100.0528%31 Mar →
mirage13–100.0115%31 Mar →
mirage11–13-0.0013%30 Mar →
dust213–8-0.0211%30 Mar →
anubis20–220.0417%29 Mar →
dust213–110.0323%29 Mar →
ancient13–100.0013%27 Mar →
mirage10–13-0.0118%27 Mar →
dust28–13-0.0423%27 Mar →
ancient13–10.0020%27 Mar →
overpass13–6-0.0411%26 Mar →
overpass13–20.0719%26 Mar →
dust213–30.0817%26 Mar →
dust213–11-0.0119%21 Mar →
ancient10–13-0.0112%21 Mar →
mirage13–100.0220%20 Mar →
dust28–130.0113%19 Mar →
nuke8–13-0.0217%18 Mar →
mirage13–90.1018%17 Mar →
ancient3–13-0.0215%17 Mar →
dust26–130.0320%15 Mar →
nuke11–13-0.0225%15 Mar →
anubis14–16-0.0415%13 Mar →
mirage12–16-0.0215%13 Mar →
inferno5–13-0.0815%11 Mar →
overpass6–13-0.0816%8 Mar →
mirage13–40.0214%8 Mar →
dust210–130.0328%8 Mar →
anubis13–4-0.038%6 Mar →
mirage13–80.0521%6 Mar →
mirage13–110.1118%6 Mar →
ancient13–50.0125%5 Mar →
nuke7–13-0.0723%5 Mar →
inferno13–60.1130%5 Mar →
dust213–40.0831%1 Mar →
overpass8–130.0326%28 Feb →
dust24–13-0.1020%26 Feb →
mirage11–130.0131%25 Feb →
nuke9–00.2324%25 Feb →

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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