Pablo — CS2 Stats

76561198803596238[U:1:843330510]

2,045Tracked matches41%Win rate2021Tracked since
CSDB Rating4.7 Developing
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#4476 of 9584 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPabloFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning40
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateWWLWLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.6
Aggression2.7
Utility5.9
Positioning4.0
Opening Duels0.4
Clutch6.6

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

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 656ms 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

Aim5.6
Positioning4.0
Utility5.9
Mechanics6.7
Opening Duels0.8
Win Impact2.1

Composite 4.7/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time656ms−11ms
first ⅓ avg 667ms → last ⅓ avg 656ms
Headshot accuracy18.2%+4.7%
first ⅓ avg 13.6% → last ⅓ avg 18.2%

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

0.13Best rating — dust2 13–5
133Biggest win — dust2
8Longest win streak
W2Current streak
103In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
anubisB1910953%-0.02
dust2B189950%-0.00
nukeA159660%-0.02
cacheB147750%-0.02
ancientS1410471%-0.01
infernoC94544%-0.05
mirageA85363%-0.01
vertigo2020%0.02
shelter110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

173Matches
50%Win rate
0.93Avg K/D
78.7ADR
36%Headshot %

Clutches & streaks

53%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1443%0.7011.2
Ancient1362%0.9312.8
Mirage1242%1.0615.5
Vertigo1030%0.7814.1
Inferno1060%0.8312.3
Overpass862%0.9011.9
Dust2667%1.2418.0
Train10%0.7311.0

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
32.5%Accuracy (enemy spotted)
38.1%Spray accuracy
80.4%Counter-strafing
11.1°Preaim
656msReaction time
26.8%T opening success
36.4%CT opening success
0.65Enemies flashed / flash
5.9%Flash assists
7.04HE damage / grenade
9.61Flashes / 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 26.8035% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–90.0216%26 Aug
cache13–80.008%26 Aug
anubis2–8-0.1133%24 Aug
dust216–13-0.0323%23 Aug
nuke6–13-0.059%23 Aug
anubis13–5-0.0521%23 Aug
cache13–16-0.1130%23 Aug
ancient10–130.0316%21 Aug
anubis13–110.0121%20 Aug
cache11–130.0020%19 Aug
dust215–15-0.0217%18 Aug
dust213–6-0.0224%17 Aug
anubis8–13-0.0313%16 Aug
dust28–13-0.0926%16 Aug
nuke7–130.0117%16 Aug
dust216–13-0.0313%15 Aug
nuke12–16-0.0613%12 Aug
ancient13–9-0.0616%12 Aug
mirage7–13-0.0313%11 Aug
dust28–13-0.0515%11 Aug
dust24–13-0.0129%9 Aug
anubis2–13-0.0310%9 Aug
ancient6–13-0.058%8 Aug
ancient13–6-0.047%8 Aug
anubis13–11-0.0416%8 Aug
nuke13–6-0.0215%8 Aug
cache5–13-0.0520%8 Aug
dust29–130.0013%6 Aug
inferno6–13-0.097%5 Aug
ancient13–90.0515%4 Aug
nuke13–10-0.0221%4 Aug
vertigo1–70.0063%4 Aug
dust26–13-0.0415%2 Aug
nuke9–130.0313%2 Aug
inferno4–13-0.0620%2 Aug
vertigo5–130.0418%2 Aug
anubis13–100.0418%1 Aug
ancient9–13-0.0723%1 Aug
cache9–13-0.0322%1 Aug
anubis13–5-0.0211%30 Jul
ancient13–11-0.0024%29 Jul
nuke13–80.0610%29 Jul
cache16–12-0.0021%29 Jul
mirage5–13-0.0421%29 Jul
ancient13–10-0.0012%29 Jul
nuke13–9-0.049%29 Jul
inferno13–11-0.0518%29 Jul
anubis13–70.0413%29 Jul
cache7–13-0.049%29 Jul
anubis13–80.0118%29 Jul
anubis13–11-0.0119%25 Jul
ancient13–70.0110%25 Jul
mirage13–50.0116%25 Jul
dust213–90.0322%23 Jul
ancient16–14-0.0710%22 Jul
inferno13–10-0.0412%22 Jul
nuke13–5-0.0022%21 Jul
inferno5–13-0.0320%21 Jul
inferno7–13-0.0816%21 Jul
ancient13–70.0515%20 Jul
anubis7–13-0.0717%20 Jul
mirage13–70.0237%20 Jul
dust28–130.0335%20 Jul
nuke13–5-0.0825%20 Jul
cache13–5-0.0026%19 Jul
nuke13–110.0327%19 Jul
shelter13–9-0.068%18 Jul
anubis13–70.0013%18 Jul
nuke13–9-0.0215%18 Jul
cache13–50.0715%18 Jul
ancient9–13-0.0019%18 Jul
anubis11–13-0.0510%17 Jul
dust213–30.0614%17 Jul
ancient13–100.0214%16 Jul
dust216–12-0.0020%15 Jul
dust213–4-0.065%15 Jul
dust25–130.0121%15 Jul
nuke5–13-0.065%15 Jul
dust213–40.0717%14 Jul
dust213–50.1318%14 Jul
cache13–11-0.067%14 Jul
ancient13–11-0.005%13 Jul
anubis13–40.0314%12 Jul
mirage13–7-0.003%11 Jul
inferno7–13-0.0619%11 Jul
inferno13–50.0111%10 Jul
cache10–13-0.064%10 Jul
anubis8–13-0.058%10 Jul
mirage14–16-0.0018%9 Jul
anubis1–13-0.0813%9 Jul
cache12–120.0216%8 Jul
mirage13–11-0.0210%8 Jul
cache13–8-0.0316%7 Jul
cache13–60.0321%7 Jul
anubis8–13-0.0117%1 Jul
mirage13–9-0.0214%30 Jun
dust29–13-0.0113%30 Jun
inferno13–10-0.057%30 Jun
nuke3–13-0.0834%30 Jun
anubis3–13-0.0613%30 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 →