pablo.rodriguez2013

pablo.rodriguez2013 — CS2 Stats

UY76561198134623820[U:1:174358092]Steam profile ↗✓ No bans

1,356Tracked matches36%Win rate2020Tracked since
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating16,115Purple band · top ~24% of ranked players (population est.)
CSDB Leaderboard#10403 of 16986 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGpablo.rodriguez2013PREMIER16,115 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning56
Utility51

0–100 skill scores via Leetify.

Recent form

COLD50437Last 10050%Win rateTLWLTLLLLL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression7.9
Utility5.1
Positioning5.6
Opening Duels3.4
Clutch0.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.1
Positioning5.6
Utility5.1
Mechanics4.8
Opening Duels3.8
Win Impact0.2

Composite 4.8/10 (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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time627ms−67ms
first ⅓ avg 694ms → last ⅓ avg 627ms
Headshot accuracy18.1%+0.1%
first ⅓ avg 18.0% → last ⅓ avg 18.1%

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.

Highlights

0.16Best rating — inferno 13–5
131Biggest win — dust2
4Longest win streak
710In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 64% over 11infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB21111052%0.01
dust2B158753%-0.01
infernoD1551033%0.02
ancientB137654%0.00
mirageA117464%-0.01
cacheB105550%-0.00
anubisB105550%-0.02
overpass42250%0.01
office1010%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
100%Win rate
1.05Avg K/D
71.7ADR
50%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.8012.0
Anubis1100%1.5420.0
Dust21100%0.829.0

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.

17.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.7%Spray accuracy
71.6%Counter-strafing
10.1°Preaim
617msReaction time
27.1%T opening success
60.4%CT opening success
0.56Enemies flashed / flash
6.5%Flash assists
10.11HE damage / grenade
7.36Flashes / 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 27.128% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke15–150.0016%28 Aug
nuke8–13-0.0225%28 Aug
dust213–11-0.0217%28 Aug
nuke6–13-0.0421%28 Aug
dust215–15-0.0419%27 Aug
cache9–130.0121%27 Aug
inferno5–130.0920%27 Aug
ancient8–13-0.0117%27 Aug
cache13–160.0616%26 Aug
anubis5–13-0.0512%26 Aug
nuke13–40.0412%26 Aug
nuke2–60.0332%26 Aug
anubis13–70.0519%26 Aug
cache5–13-0.0818%26 Aug
inferno13–70.0414%25 Aug
dust28–13-0.0822%25 Aug
mirage10–30.0225%25 Aug
nuke11–13-0.0111%25 Aug
mirage13–90.0120%25 Aug
ancient13–100.0520%25 Aug
mirage13–7-0.0913%25 Aug
ancient13–70.0026%24 Aug
mirage13–160.0113%24 Aug
inferno11–13-0.0413%24 Aug
ancient13–110.0117%24 Aug
mirage9–130.0214%24 Aug
anubis8–130.0118%16 Jul
nuke5–130.0119%16 Jul
cache11–13-0.0713%15 Jul
inferno6–13-0.0312%15 Jul
nuke13–11-0.0010%15 Jul
nuke13–10-0.0218%13 Jul
cache16–13-0.0133%12 Jul
dust28–13-0.043%12 Jul
anubis10–13-0.0330%12 Jul
ancient2–13-0.0820%12 Jul
ancient13–7-0.0416%12 Jul
cache13–60.0112%12 Jul
office8–130.0931%11 Jul
inferno4–90.0221%11 Jul
nuke8–80.0229%11 Jul
dust213–6-0.0518%11 Jul
cache13–30.0517%11 Jul
inferno8–130.0024%11 Jul
cache13–60.0425%11 Jul
dust213–80.0016%11 Jul
mirage13–3-0.0814%11 Jul
inferno15–15-0.0230%10 Jul
cache13–110.0019%10 Jul
nuke13–7-0.0326%10 Jul
anubis13–11-0.0317%10 Jul
cache6–13-0.0126%9 Jul
dust213–110.0124%9 Jul
nuke2–13-0.0529%8 Jul
inferno11–130.0225%6 Jul
ancient13–80.0618%6 Jul
anubis2–13-0.104%6 Jul
anubis13–70.0215%6 Jul
nuke13–30.0928%6 Jul
ancient14–160.0222%5 Jul
anubis8–13-0.0811%5 Jul
mirage13–4-0.0119%4 Jul
anubis16–130.0610%3 Jul
overpass13–80.0721%3 Jul
overpass7–130.0314%1 Jul
inferno13–50.1621%1 Jul
ancient2–13-0.018%1 Jul
overpass9–13-0.0120%1 Jul
mirage13–4-0.0414%1 Jul
dust213–20.098%1 Jul
dust215–15-0.047%1 Jul
inferno11–13-0.0135%30 Jun
overpass13–6-0.039%30 Jun
nuke11–13-0.0215%30 Jun
mirage9–13-0.0126%29 Jun
inferno11–130.0112%29 Jun
nuke13–90.0416%29 Jun
dust211–130.0117%29 Jun
nuke13–100.0111%29 Jun
dust26–13-0.026%28 Jun
inferno13–90.0317%26 Jun
nuke13–60.0218%26 Jun
anubis13–7-0.028%26 Jun
nuke2–30.0675%26 Jun
nuke13–40.0217%26 Jun
inferno15–15-0.0710%25 Jun
inferno13–60.0423%25 Jun
ancient15–150.0019%25 Jun
dust27–13-0.026%24 Jun
ancient13–110.0523%24 Jun
mirage13–50.0619%24 Jun
inferno13–100.0815%24 Jun
dust213–6-0.0511%24 Jun
mirage6–11-0.0516%24 Jun
dust213–90.0824%23 Jun
ancient8–13-0.0111%23 Jun
nuke13–80.0419%22 Jun
dust213–10.0319%22 Jun
nuke13–60.1126%22 Jun
ancient13–7-0.0126%22 Jun

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 →