AngelGuitarra42

AngelGuitarra42 — CS2 Stats

ES76561198357856133[U:1:397590405]Steam profile ↗✓ No bans

734Tracked matches50%Win rate2020Tracked since
3,513Hours in CS37Hrs last 2 wks
CSDB Rating5.9 SolidSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+55Tracked matches · now 734
−16.7ppWin rate · 66.7% → 50.0%

Rating over time

49Days played since 2026-07-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches75——
Win rate45%——
K/D1.05——
Headshot %48%——

Measured 9 Sep 2026 → 14 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,110), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.1%44.8%45.7%6.6% short
Shot accuracy15.0%12.4%12.7%above
Kill/death ratio0.991.031.050.07 short
Match win rate42.2%45.2%45.7%3.5% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAngelGuitarra42FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim65
Positioning62
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLWWLWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.4pp headshot accuracy · −30ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 602ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.5
Utility6.7
Positioning6.2
Opening Duels2.4
Clutch3.4

Effective flashes

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

ZywOo

Plays most like ZywOo 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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 55% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 567ms 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

Aim6.5
Positioning6.2
Utility6.7
Mechanics5.6
Opening Duels3.6
Win Impact5.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time568ms−8ms
first ⅓ avg 577ms → last ⅓ avg 568ms
Headshot accuracy17.3%+3.8%
first ⅓ avg 13.4% → last ⅓ avg 17.3%

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

0.25Best match rating · 9–2 · inferno, 9 Aug →
37%Best headshot accuracy · 9–6 · inferno, 3 Aug →
398msFastest reaction time · 9–13 · inferno, 26 Aug →
13–1Biggest win · mirage, 6 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
2–5In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 36% over 28
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%-0.00
infernoC2810–1836%0.01
dust2B209–1145%-0.01
nukeS64–267%-0.02
ancient—44–0100%0.02
anubis—32–167%-0.04
vertigo—31–233%0.01
cache—22–0100%-0.01
train—11–0100%0.06
office—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,315Lifetime kills
0.99K/D
4,769Matches
42.2%Match win rate
39.1%Headshot %
15.0%Shot accuracy · Top 50% of Level 6 players
14,189MVPs
1,532Hours (in match)
3,098Bombs planted
892Bombs defused

Most-used weapons

AK-4716,347
AWP11,297
MAG-73,088
Knife2,148
SSG 081,857
P2501,705

Lifetime map wins

10,746inferno
6,999nuke
3,551dust2
894train
719cbble
673vertigo
279office
260lake

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

Faceit stats

Combat

174Matches
51%Win rate
0.96Avg K/D
77.3ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4455%0.9114.3
Dust22759%1.1117.4
Inferno2339%0.8714.6
Ancient2171%1.1816.7
Anubis1844%1.0315.0
Nuke633%1.0416.0
Train3100%1.1414.7

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.

16.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
40.0%Spray accuracy
75.0%Counter-strafing
10.4°Preaim
567msReaction time
55.3%T opening success
33.2%CT opening success
0.70Enemies flashed / flash
10.4%Flash assists
11.15HE damage / grenade
8.18Flashes / 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. Advanced Mechanics

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

    CT opening duels 33.2499% — below the 40% mark we flag

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.

36% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0212%12 Oct →
cache13–10-0.0116%12 Oct →
inferno13–40.058%11 Oct →
mirage3–13-0.0825%7 Oct →
dust213–100.0210%7 Oct →
mirage7–13-0.0613%7 Oct →
inferno6–13-0.0121%5 Oct →
inferno2–13-0.0411%5 Oct →
anubis13–70.0116%4 Oct →
inferno11–13-0.0221%3 Oct →
mirage12–120.0114%28 Sept →
inferno12–120.0213%27 Sept →
dust212–12-0.0325%27 Sept →
dust213–60.0726%26 Sept →
mirage9–13-0.0112%26 Sept →
inferno13–50.0414%26 Sept →
vertigo13–100.027%25 Sept →
inferno10–130.0713%23 Sept →
inferno10–13-0.049%23 Sept →
mirage13–70.0721%23 Sept →
dust213–20.0023%21 Sept →
ancient13–6-0.0318%19 Sept →
dust211–13-0.0219%17 Sept →
dust212–12-0.0521%17 Sept →
inferno9–40.0914%16 Sept →
nuke13–60.0215%15 Sept →
mirage13–100.1415%14 Sept →
mirage11–13-0.0813%14 Sept →
anubis5–13-0.0622%13 Sept →
inferno4–130.0329%12 Sept →
dust213–60.0220%12 Sept →
inferno13–9-0.0229%12 Sept →
mirage12–120.0224%12 Sept →
mirage0–13-0.0510%12 Sept →
ancient13–80.0917%10 Sept →
mirage2–13-0.0610%9 Sept →
mirage13–10.0211%6 Sept →
mirage13–4-0.0811%6 Sept →
mirage13–7-0.0017%5 Sept →
mirage4–13-0.0530%5 Sept →
mirage13–90.0018%4 Sept →
dust213–40.0335%2 Sept →
mirage13–8-0.067%31 Aug →
mirage10–13-0.0619%31 Aug →
mirage7–13-0.0710%31 Aug →
mirage8–130.0028%30 Aug →
mirage13–70.0116%29 Aug →
inferno8–13-0.0521%28 Aug →
ancient13–8-0.0418%28 Aug →
inferno9–13-0.0411%26 Aug →
mirage13–6-0.006%26 Aug →
mirage5–13-0.0216%26 Aug →
inferno13–60.0115%26 Aug →
inferno10–130.0114%24 Aug →
mirage13–80.0323%24 Aug →
inferno8–13-0.0521%24 Aug →
dust212–120.0314%23 Aug →
cache13–8-0.0012%22 Aug →
nuke12–120.0215%21 Aug →
train13–40.0626%21 Aug →
mirage13–80.1224%19 Aug →
mirage13–8-0.0116%19 Aug →
dust212–120.0314%18 Aug →
dust213–110.0129%18 Aug →
dust213–8-0.0816%18 Aug →
vertigo2–90.0514%17 Aug →
inferno6–90.0114%17 Aug →
inferno5–9-0.190%17 Aug →
nuke9–30.0116%17 Aug →
dust213–50.0211%17 Aug →
dust28–2-0.0317%17 Aug →
dust212–12-0.0311%17 Aug →
mirage2–13-0.120%17 Aug →
dust23–13-0.067%15 Aug →
inferno13–30.009%14 Aug →
nuke13–1-0.056%14 Aug →
vertigo5–13-0.0417%14 Aug →
inferno8–13-0.046%13 Aug →
mirage13–70.0710%12 Aug →
nuke13–5-0.0611%11 Aug →
inferno13–90.0321%10 Aug →
mirage9–13-0.043%10 Aug →
mirage13–40.1416%9 Aug →
dust210–130.0013%9 Aug →
inferno6–90.1112%9 Aug →
inferno9–20.2514%9 Aug →
nuke5–9-0.0319%9 Aug →
dust29–13-0.0113%9 Aug →
dust27–13-0.0624%9 Aug →
mirage13–70.0221%9 Aug →
inferno9–50.014%8 Aug →
mirage13–70.0915%7 Aug →
inferno11–13-0.0218%7 Aug →
office13–50.0112%5 Aug →
anubis13–11-0.0717%5 Aug →
inferno7–9-0.0217%5 Aug →
ancient13–80.0618%3 Aug →
mirage13–8-0.0219%3 Aug →
inferno9–60.1437%3 Aug →
dust21–13-0.0612%31 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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