Pedro P

Pedro P — CS2 Stats

US76561198084501829[U:1:124236101]Steam profile ↗✓ No bans

561Tracked matches27%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 561
−10.0ppWin rate · 36.7% → 26.7%

Rating over time

Premier CS Rating: 7,191 +806 30 May – 3 Jul · 18 days played
5,8479,443peak 9,44330 May3 Jul
9,443Peak Premier in tracked matches
32Days played since 2026-05-29

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

Share this profile

CSDB.GGPedro PFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning39
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateLLLLWLWWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −4.8pp headshot accuracy · +29ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 805ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 728ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 714ms

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 (+1.7 against its own average).

Aim4.6
Utility5.2
Positioning3.9
Opening Duels1.7
Clutch3.2

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

Twistzz

Plays most like Twistzz 81% 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

Reaction time. 681ms 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

Aim4.6
Positioning3.9
Utility5.2
Mechanics7.1
Opening Duels0.6
Win Impact0.0

Composite 4.1/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time691ms+2ms
first ⅓ avg 688ms → last ⅓ avg 691ms
Headshot accuracy21.8%+3.0%
first ⅓ avg 18.8% → last ⅓ avg 21.8%

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

0.20Best match rating · 13–5 · dust2, 24 Jun →
46%Best headshot accuracy · 13–6 · inferno, 20 Jun →
484msFastest reaction time · 9–13 · mirage, 10 Aug →
13–1Biggest win · cache, 3 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
6–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 62% over 13infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheD288–2029%-0.03
mirageC208–1240%-0.02
dust2A138–562%0.01
anubisC83–538%-0.02
infernoD82–625%0.01
nukeC83–538%-0.04
ancientB63–350%0.01
overpass—43–175%-0.03
stronghold—10–10%-0.08
alpine—10–10%-0.07
warden—10–10%0.00
italy—10–10%0.06
vertigo—11–0100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

101Matches
46%Win rate
0.96Avg K/D
79.1ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage933%0.8014.4
Ancient560%0.6011.6
Inferno333%0.618.7
Dust230%0.7712.3
Anubis2100%1.3718.5
Overpass10%0.5811.0

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.

21.8%Headshot accuracy
25.7%Accuracy (enemy spotted)
28.5%Spray accuracy
82.2%Counter-strafing
10.3°Preaim
681msReaction time
32.8%T opening success
31.8%CT opening success
0.54Enemies flashed / flash
2.0%Flash assists
9.98HE damage / grenade
9.88Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.782% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–130.0136%24 Oct →
cache1–13-0.1022%14 Oct →
mirage6–13-0.0621%11 Oct →
anubis6–130.0119%6 Sept →
cache13–11-0.0414%15 Aug →
mirage9–13-0.0418%10 Aug →
inferno13–100.0220%26 Jul →
mirage13–90.0226%26 Jul →
anubis11–13-0.0513%16 Jul →
anubis13–8-0.0222%16 Jul →
cache9–13-0.0131%8 Jul →
cache4–13-0.0231%8 Jul →
cache3–130.0329%8 Jul →
cache3–13-0.0725%3 Jul →
cache4–130.0338%3 Jul →
mirage11–130.0221%3 Jul →
anubis13–9-0.0114%3 Jul →
dust27–13-0.0121%3 Jul →
inferno9–13-0.0117%2 Jul →
dust210–13-0.0532%2 Jul →
inferno12–16-0.0218%2 Jul →
overpass7–13-0.0328%1 Jul →
cache8–13-0.0321%1 Jul →
overpass13–5-0.1021%1 Jul →
mirage13–10-0.0317%1 Jul →
anubis8–13-0.0513%1 Jul →
mirage7–13-0.0714%30 Jun →
dust213–8-0.0326%30 Jun →
ancient11–13-0.0118%30 Jun →
nuke12–16-0.0320%29 Jun →
nuke16–12-0.0511%25 Jun →
dust213–100.0427%25 Jun →
dust213–70.0614%24 Jun →
mirage13–90.0124%24 Jun →
dust213–50.2029%24 Jun →
ancient13–110.0134%23 Jun →
mirage2–13-0.110%22 Jun →
nuke13–8-0.0315%22 Jun →
dust213–90.0222%22 Jun →
mirage11–13-0.0321%22 Jun →
overpass9–30.0419%22 Jun →
ancient16–13-0.0315%22 Jun →
inferno8–13-0.0214%21 Jun →
mirage13–4-0.0512%21 Jun →
mirage13–3-0.0030%21 Jun →
inferno11–130.0215%21 Jun →
anubis11–13-0.049%21 Jun →
mirage13–100.029%21 Jun →
dust213–5-0.0710%21 Jun →
nuke5–13-0.079%20 Jun →
inferno13–60.0346%20 Jun →
nuke3–13-0.0429%20 Jun →
nuke5–13-0.0324%20 Jun →
anubis13–110.019%20 Jun →
inferno6–130.0517%20 Jun →
ancient13–80.0828%20 Jun →
nuke13–30.0119%20 Jun →
dust216–130.0417%18 Jun →
mirage14–16-0.0215%17 Jun →
stronghold6–13-0.0815%16 Jun →
alpine9–13-0.0718%16 Jun →
inferno15–15-0.0220%16 Jun →
mirage10–13-0.0621%15 Jun →
mirage8–130.0020%15 Jun →
dust213–11-0.0523%15 Jun →
ancient12–16-0.0322%15 Jun →
mirage10–130.0420%15 Jun →
anubis11–130.0014%15 Jun →
cache11–13-0.0215%15 Jun →
mirage11–130.0126%15 Jun →
overpass16–12-0.0420%10 Jun →
mirage13–7-0.0912%10 Jun →
cache13–40.0324%10 Jun →
mirage8–13-0.0420%10 Jun →
dust25–13-0.0519%10 Jun →
mirage13–110.0026%10 Jun →
cache13–11-0.0329%10 Jun →
ancient5–130.0121%7 Jun →
cache2–13-0.0518%7 Jun →
dust212–12-0.0321%4 Jun →
cache7–13-0.0110%4 Jun →
cache10–130.0118%4 Jun →
cache5–13-0.0513%4 Jun →
cache13–8-0.0124%3 Jun →
cache5–13-0.0617%3 Jun →
cache1–13-0.0511%3 Jun →
cache13–5-0.0412%3 Jun →
cache13–10.0824%3 Jun →
warden12–120.0027%3 Jun →
cache1–13-0.0814%3 Jun →
italy1–130.0625%3 Jun →
cache11–13-0.0718%3 Jun →
vertigo13–9-0.0711%3 Jun →
cache13–10-0.0116%2 Jun →
cache7–13-0.0615%1 Jun →
nuke8–13-0.0625%30 May →
cache3–13-0.0324%30 May →
cache10–13-0.0118%29 May →
cache3–13-0.079%29 May →
cache13–50.0325%29 May →

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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