lil pablo

lil pablo — CS2 Stats

FI76561198012177543[U:1:51911815]Steam profile ↗✓ No bans

1,693Tracked matches53%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
FaceitLevel 10 · 2,302 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,393 -4,618 25 May – 29 Oct · 10 days played
16,04421,011peak 21,01125 May29 Oct
21,133Peak Premier in tracked matches
2,302Highest Faceit ELO seen on CSDB
58Days played since 2025-05-23

Faceit ELO

  • At peak — 2,302
  • Next: 2,500 ELO at 2,500 — 198 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

Share this profile

CSDB.GGlil pabloFACEITLevel 10 · 2,302 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,302csdb.gg/stats

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Performance scores

Aim90
Positioning74
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWLWWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · −21ms reaction

Win rate −10pp 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 17%
  • Avg reaction 492ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 465ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 475ms

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 (+1.5 against its own average).

Aim9.0
Utility6.3
Positioning7.4
Opening Duels6.6
Clutch3.2

Sharp aimer

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% T opening-duel success — entries that actually open the round.

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

Aim9.0
Positioning7.4
Utility6.3
Mechanics5.8
Opening Duels8.4
Win Impact6.1

Composite 7.4/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time488ms−103ms
first ⅓ avg 591ms → last ⅓ avg 488ms
Headshot accuracy20.1%−4.3%
first ⅓ avg 24.5% → last ⅓ avg 20.1%

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.

Personal bests

0.18Best match rating · 9–6 · inferno, 1 Oct →
60%Best headshot accuracy · 4–3 · mirage, 19 Sept →
375msFastest reaction time · 13–7 · ancient, 23 Oct →
13–0Biggest win · mirage, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 71% over 7anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%0.02
mirageA2615–1158%0.03
anubisD113–827%0.00
infernoA74–357%0.05
nukeS75–271%0.05
ancientS75–271%0.02
overpassC52–340%-0.01
cache—32–167%0.03
vertigo—20–20%-0.03
train—22–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,256Matches
51%Win rate
1.14Avg K/D
90.7ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust219549%1.2319.8
Mirage18149%1.2118.9
Nuke12155%1.2918.7
Ancient9646%1.1917.9
Inferno9248%1.2318.4
Anubis7638%1.1616.5
Vertigo3339%1.1117.7
Overpass3259%1.1617.5

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.

20.2%Headshot accuracy
39.6%Accuracy (enemy spotted)
40.6%Spray accuracy
76.2%Counter-strafing
7.0°Preaim
487msReaction time
63.3%T opening success
63.9%CT opening success
0.64Enemies flashed / flash
21.5%Flash assists
7.89HE damage / grenade
6.30Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0423%4 Nov →
dust213–11-0.0423%4 Nov →
dust211–130.0313%4 Nov →
mirage13–100.0212%4 Nov →
mirage13–70.0612%3 Nov →
anubis11–130.0724%3 Nov →
inferno6–13-0.0621%2 Nov →
nuke13–100.1224%2 Nov →
mirage13–110.0322%1 Nov →
dust212–160.0517%27 Oct →
nuke13–100.0115%27 Oct →
anubis13–40.0819%27 Oct →
dust213–110.0628%26 Oct →
mirage13–90.0822%26 Oct →
dust213–70.0034%26 Oct →
dust29–130.0630%26 Oct →
anubis12–16-0.0113%25 Oct →
vertigo10–13-0.0418%25 Oct →
dust210–13-0.0317%25 Oct →
dust213–70.1222%22 Oct →
cache4–13-0.068%21 Oct →
dust213–110.0120%15 Oct →
mirage13–20.0728%15 Oct →
dust214–160.0115%15 Oct →
anubis6–130.0426%13 Oct →
cache13–30.1021%11 Oct →
anubis11–13-0.0117%11 Oct →
mirage8–130.0522%2 Oct →
dust213–70.0923%2 Oct →
dust213–90.0620%2 Oct →
nuke12–160.0117%2 Oct →
inferno8–80.1015%25 Sept →
cache13–90.0420%18 Sept →
mirage13–30.0732%18 Sept →
dust25–13-0.0524%18 Sept →
dust29–13-0.0323%8 Apr →
dust210–130.1032%16 Feb →
anubis7–13-0.0514%5 Feb →
anubis11–13-0.0118%4 Feb →
dust213–70.0230%4 Feb →
nuke3–130.0632%3 Feb →
ancient8–130.009%26 Jan →
dust210–13-0.0132%18 Jan →
inferno13–11-0.0413%3 Jan →
mirage8–130.0218%2 Jan →
mirage5–13-0.0121%22 Dec →
dust213–160.0221%22 Dec →
overpass13–10-0.0220%21 Dec →
overpass14–16-0.0524%11 Dec →
nuke13–40.0321%9 Dec →
mirage10–130.1321%29 Nov →
mirage19–160.0418%29 Nov →
dust213–110.0724%2 Nov →
mirage7–130.0137%29 Oct →
dust210–13-0.0120%29 Oct →
ancient13–7-0.0626%23 Oct →
ancient13–7-0.0321%22 Oct →
train13–40.0520%22 Oct →
mirage7–13-0.0716%22 Oct →
overpass4–110.0333%17 Oct →
vertigo4–9-0.0235%17 Oct →
mirage13–8-0.0114%13 Oct →
inferno5–130.0319%9 Oct →
dust213–20.0724%9 Oct →
mirage13–40.0428%9 Oct →
dust25–13-0.0425%6 Oct →
dust25–13-0.056%2 Oct →
inferno9–60.1823%1 Oct →
dust213–50.0933%1 Oct →
mirage13–80.0513%30 Sept →
overpass13–6-0.0323%30 Sept →
nuke13–40.0218%29 Sept →
mirage9–130.0321%28 Sept →
mirage13–00.0433%24 Sept →
nuke13–60.1130%24 Sept →
mirage4–30.0260%19 Sept →
ancient13–50.0423%16 Sept →
dust213–50.1030%15 Sept →
ancient10–130.0225%15 Sept →
inferno9–20.0821%10 Sept →
mirage3–13-0.0721%31 Aug →
dust211–13-0.0030%29 Aug →
dust29–130.0438%28 Aug →
mirage3–13-0.0819%28 Aug →
inferno13–100.0225%26 Aug →
dust215–15-0.0127%26 Aug →
mirage13–80.1028%25 Aug →
dust213–10-0.0227%3 Jul →
ancient13–60.1021%3 Jul →
train13–5-0.0212%3 Jul →
mirage7–13-0.0332%30 Jun →
mirage13–90.0823%12 Jun →
anubis13–4-0.0119%26 May →
overpass12–120.0118%25 May →
mirage13–40.0325%25 May →
anubis8–130.0424%25 May →
ancient16–120.0821%25 May →
anubis9–13-0.0518%23 May →
mirage13–100.0117%23 May →
anubis13–11-0.0710%23 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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