pabl0

pabl0 — CS2 Stats

76561198408068692[U:1:447802964]Steam profile ↗✓ No bans

2,510Tracked matches41%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating23,698Top 25% of 204,316 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#34101 of 251375 tracked
FaceitLevel 10 · 2,521 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,698 → 23,698
0Faceit ELO · 2,521 → 2,521
+50Tracked matches · now 2,510
−6.9ppWin rate · 48.3% → 41.4%

Rating over time

Premier CS Rating: 23,698 +0 12 Jan – 3 Sept · 2 days played
23,69823,698peak 23,69812 Jan3 Sept
23,698Peak Premier in tracked matches
2,521Highest Faceit ELO seen on CSDB
74Days played since 2025-08-04

Faceit ELO

  • At peak — 2,521
  • Next: 3,000 ELO at 3,000 — 479 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-03
  • Level 10 first seen 2026-09-03

Premier CS Rating

  • At peak — 23,698
  • Next: Red band at 25,000 — 1,302 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGpabl0FACEITLevel 10 · 2,521 ELOSTANDINGTop 12.4% of rankedPREMIER23,698 · Pink bandPEAK ELO2,521csdb.gg/stats

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Performance scores

Aim84
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWWWLLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.9pp headshot accuracy · −17ms 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 0.00
  • Avg headshot accuracy 31%
  • Avg reaction 464ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 564ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 572ms

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 (+1.2 against its own average).

Aim8.4
Utility6.2
Positioning5.6
Opening Duels4.7
Clutch3.4

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.

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

device

Plays most like device 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4
Positioning5.6
Utility6.2
Mechanics7.0
Opening Duels4.2
Win Impact2.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time552ms−52ms
first ⅓ avg 604ms → last ⅓ avg 552ms
Headshot accuracy27.5%−1.5%
first ⅓ avg 29.0% → last ⅓ avg 27.5%

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

0.16Best match rating · 13–3 · dust2, 5 Mar →
52%Best headshot accuracy · 16–14 · ancient, 19 Nov →
375msFastest reaction time · 2–13 · ancient, 4 Dec →
13–0Biggest win · ancient, 29 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
9–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 54% over 35infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3519–1654%0.01
ancientB2914–1548%0.01
anubisC94–544%0.02
infernoC73–443%-0.01
trainC73–443%0.01
mirage—42–250%-0.03
cache—42–250%-0.04
overpass—31–233%-0.02
nuke—20–20%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,549Matches
53%Win rate
1.11Avg K/D
80.2ADR
59%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust255955%1.1116.7
Ancient54855%1.1316.5
Anubis34855%1.1716.3
Inferno9853%1.1416.9
Train9445%1.1016.0
Mirage8138%0.9815.5
Cache6050%1.0215.6
Vertigo5845%1.0315.3

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.

28.1%Headshot accuracy
30.2%Accuracy (enemy spotted)
33.4%Spray accuracy
81.5%Counter-strafing
7.0°Preaim
547msReaction time
36.7%T opening success
56.8%CT opening success
0.69Enemies flashed / flash
13.8%Flash assists
7.23HE damage / grenade
12.58Flashes / 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 36.7008% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–4-0.0622%8 Oct →
ancient13–90.0737%6 Oct →
ancient13–80.0435%5 Oct →
ancient5–13-0.0321%18 Sept →
dust210–13-0.0140%16 Sept →
cache13–8-0.0322%25 Aug →
dust26–130.0016%24 Aug →
cache3–13-0.0419%23 Aug →
dust213–80.0134%19 Aug →
dust213–50.0127%19 Aug →
cache13–11-0.0615%19 Aug →
dust216–13-0.0115%18 Aug →
cache7–13-0.0415%18 Aug →
ancient13–6-0.0122%18 Aug →
ancient3–13-0.0933%18 Aug →
ancient5–13-0.0326%9 Aug →
anubis13–70.1031%9 Aug →
mirage13–10-0.0335%22 Jul →
anubis14–160.0333%15 Jul →
dust25–13-0.0328%7 Jul →
inferno8–130.0132%22 Jun →
dust212–12-0.0134%24 May →
anubis6–13-0.0121%21 May →
dust23–130.0218%4 May →
dust22–13-0.0650%1 May →
dust217–190.0238%26 Apr →
inferno11–13-0.0621%25 Apr →
anubis22–200.0230%12 Apr →
overpass6–13-0.0435%7 Apr →
ancient2–13-0.0627%7 Apr →
dust213–60.0720%5 Apr →
dust213–70.0218%4 Apr →
anubis13–9-0.0134%25 Mar →
dust225–230.0019%25 Mar →
dust213–90.0137%24 Mar →
ancient8–13-0.0733%9 Mar →
dust213–30.1627%5 Mar →
dust25–13-0.0327%5 Mar →
mirage14–160.0220%3 Mar →
anubis10–13-0.0118%23 Feb →
ancient10–130.0119%7 Feb →
anubis5–13-0.0126%7 Feb →
anubis11–130.0330%5 Feb →
dust213–60.0635%5 Feb →
overpass13–100.0029%25 Jan →
dust213–110.0240%18 Jan →
ancient7–13-0.0524%16 Jan →
inferno9–13-0.0632%14 Jan →
anubis13–100.0116%12 Jan →
ancient13–100.0014%12 Jan →
inferno13–9-0.0825%12 Jan →
train11–130.0145%12 Jan →
dust213–90.0333%12 Jan →
dust24–13-0.0419%5 Jan →
dust213–9-0.029%4 Jan →
ancient13–60.0523%15 Dec →
ancient10–130.0226%11 Dec →
dust29–13-0.0315%10 Dec →
inferno13–110.0540%10 Dec →
ancient12–160.0429%7 Dec →
ancient2–130.0216%4 Dec →
ancient13–80.0525%2 Dec →
ancient16–140.0630%24 Nov →
dust214–160.0227%19 Nov →
ancient16–14-0.0252%19 Nov →
mirage2–13-0.0428%17 Nov →
ancient13–9-0.0533%16 Nov →
ancient5–13-0.0143%14 Nov →
ancient9–130.0027%13 Nov →
train13–11-0.0117%5 Nov →
ancient13–9-0.0616%4 Nov →
ancient11–130.0539%2 Nov →
dust211–13-0.0329%30 Oct →
dust210–130.0334%30 Oct →
ancient13–0-0.0121%29 Oct →
dust213–20.0518%29 Oct →
dust210–130.0117%29 Oct →
nuke5–13-0.0121%29 Oct →
dust216–13-0.0140%25 Oct →
nuke8–13-0.0041%25 Oct →
dust213–110.0323%19 Oct →
ancient13–60.0328%19 Oct →
dust213–50.0934%19 Oct →
dust213–1-0.0433%17 Oct →
dust213–6-0.0338%15 Oct →
inferno13–100.0733%13 Oct →
dust28–13-0.0038%10 Oct →
train5–130.0131%10 Oct →
train13–50.0645%9 Oct →
ancient11–13-0.0231%5 Oct →
overpass9–13-0.0026%13 Sept →
inferno14–16-0.0217%12 Sept →
dust216–190.0213%24 Aug →
train5–13-0.0130%15 Aug →
ancient13–100.1635%10 Aug →
dust213–20.0920%10 Aug →
ancient13–70.0717%7 Aug →
train13–10-0.0437%6 Aug →
train10–130.0342%5 Aug →
ancient13–160.0522%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K 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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