Pabax

Pabax — CS2 Stats

NE76561198167622054[U:1:207356326]Steam profile ↗✓ No bans

2,026Tracked matches52%Win rate2020Tracked since
4,485Hours in CS9Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
FaceitLevel 9 · 2,028 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,026 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 2,028 +0 11 Sept – 26 Sept · 2 observations
2,0282,028peak 2,02811 Sept26 Sept
2,028Highest Faceit ELO seen on CSDB
31Days played since 2026-07-21

Faceit ELO

  • At peak — 2,028
  • Next: 2,500 ELO at 2,500 — 472 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-11
  • Level 9 first seen 2026-09-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 26 Sep 2026 and 3 Oct 2026.

Measured 26 Sep 2026 → 3 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches58——
Win rate48%——
K/D0.82——
Headshot %46%——

Measured 1 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate44.3%48.2%50.9%6.6% short
Shot accuracy13.3%13.3%13.8%0.5% short
Kill/death ratio0.871.071.090.22 short
Match win rate42.2%46.9%48.4%6.2% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPabaxFACEITLevel 9 · 2,028 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,028csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning67
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLWWLWLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 539ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

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 (+1.7 against its own average).

Aim7.3
Utility5.7
Positioning6.7
Opening Duels4.5
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

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim7.3
Positioning6.7
Utility5.7
Mechanics6.3
Opening Duels7.4
Win Impact5.6

Composite 6.6/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time554ms−13ms
first ⅓ avg 567ms → last ⅓ avg 554ms
Headshot accuracy16.6%−2.6%
first ⅓ avg 19.2% → last ⅓ avg 16.6%

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

0.10Best match rating · 19–15 · anubis, 13 Sept →
36%Best headshot accuracy · 4–13 · nuke, 25 Jul →
406msFastest reaction time · 13–10 · inferno, 24 Aug →
13–1Biggest win · cache, 21 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
11–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 80% over 25dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
anubisS2520–580%0.01
infernoB2312–1152%-0.00
cacheA159–660%-0.01
ancientD143–1121%-0.00
nukeB105–550%0.02
mirageD72–529%-0.01
dust2D61–517%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,979Lifetime kills
0.87K/D
6,760Matches
42.2%Match win rate
44.3%Headshot %
13.3%Shot accuracy · Top 50% of Level 9 players
15,289MVPs
3,136Hours (in match)
4,955Bombs planted
1,464Bombs defused

Most-used weapons

AK-4760,963
AWP9,567
P2505,714
FAMAS2,601
MP72,501

Lifetime map wins

11,787inferno
5,407dust2
3,219nuke
2,777cbble
2,534train
831vertigo
57shorttrain
40office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,027Matches
51%Win rate
1.00Avg K/D
81.6ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno15158%1.0115.9
Ancient12144%0.9815.5
Anubis10958%1.0716.5
Mirage6442%1.0215.2
Nuke5645%0.9815.2
Overpass5048%1.0415.8
Train4151%1.1017.2
Dust23732%0.8714.8

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
35.7%Accuracy (enemy spotted)
36.5%Spray accuracy
78.5%Counter-strafing
9.3°Preaim
551msReaction time
69.4%T opening success
49.9%CT opening success
0.59Enemies flashed / flash
6.0%Flash assists
8.92HE damage / grenade
6.10Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0217%26 Sept →
mirage5–130.0223%26 Sept →
inferno13–110.0029%25 Sept →
cache13–11-0.037%25 Sept →
ancient11–13-0.0710%25 Sept →
anubis13–90.0621%23 Sept →
inferno20–22-0.0216%23 Sept →
nuke11–130.0713%22 Sept →
inferno13–11-0.0410%22 Sept →
dust24–13-0.0823%21 Sept →
cache13–10.0220%21 Sept →
anubis2–13-0.0910%21 Sept →
ancient9–13-0.0114%18 Sept →
inferno8–13-0.0420%18 Sept →
inferno13–9-0.079%17 Sept →
anubis13–70.0413%16 Sept →
nuke13–4-0.0018%16 Sept →
cache11–130.0216%16 Sept →
cache13–40.0214%16 Sept →
inferno13–110.0819%13 Sept →
anubis19–150.1014%13 Sept →
cache13–4-0.0122%13 Sept →
mirage12–12-0.0330%12 Sept →
mirage11–13-0.0018%12 Sept →
cache10–13-0.0012%12 Sept →
anubis13–60.0616%12 Sept →
ancient6–130.1016%11 Sept →
inferno14–160.0116%11 Sept →
cache13–60.0420%11 Sept →
anubis13–70.0522%11 Sept →
dust23–13-0.0117%9 Sept →
anubis13–110.0412%9 Sept →
ancient9–13-0.0312%9 Sept →
ancient11–130.0113%8 Sept →
anubis13–9-0.037%8 Sept →
inferno13–100.0124%8 Sept →
anubis14–16-0.0212%8 Sept →
inferno13–6-0.0310%7 Sept →
nuke7–13-0.0219%7 Sept →
cache13–10-0.004%7 Sept →
nuke8–80.0115%7 Sept →
ancient13–110.0510%4 Sept →
anubis13–9-0.0411%4 Sept →
nuke4–130.0721%4 Sept →
ancient10–130.0320%4 Sept →
inferno8–130.0911%2 Sept →
mirage13–80.0218%2 Sept →
anubis13–50.0317%2 Sept →
nuke13–110.0421%1 Sept →
mirage13–100.0111%1 Sept →
cache7–13-0.0432%1 Sept →
inferno5–13-0.0531%1 Sept →
cache10–13-0.0112%31 Aug →
inferno0–13-0.0612%31 Aug →
inferno13–100.0317%29 Aug →
anubis16–120.0121%29 Aug →
anubis13–3-0.0213%29 Aug →
cache13–5-0.0023%29 Aug →
nuke13–30.0321%29 Aug →
inferno9–13-0.049%28 Aug →
mirage7–13-0.0718%28 Aug →
ancient9–13-0.0314%28 Aug →
anubis9–13-0.0214%28 Aug →
ancient13–16-0.0418%26 Aug →
anubis13–50.1011%26 Aug →
inferno11–130.0211%26 Aug →
dust27–130.0123%25 Aug →
anubis13–60.0521%25 Aug →
inferno8–13-0.0220%25 Aug →
anubis16–120.0520%24 Aug →
inferno13–100.0022%24 Aug →
anubis13–10-0.038%24 Aug →
mirage5–13-0.0232%24 Aug →
ancient8–13-0.0515%23 Aug →
anubis13–7-0.0111%23 Aug →
inferno13–11-0.0018%23 Aug →
dust28–130.0121%21 Aug →
ancient13–10-0.0120%21 Aug →
dust213–11-0.0223%21 Aug →
anubis16–140.0120%21 Aug →
inferno13–110.0419%19 Aug →
dust210–13-0.0311%19 Aug →
cache13–70.0218%19 Aug →
anubis13–5-0.0110%19 Aug →
ancient11–13-0.0113%19 Aug →
cache8–13-0.0625%18 Aug →
inferno11–13-0.0314%18 Aug →
nuke13–100.0819%1 Aug →
anubis13–20.0419%1 Aug →
cache8–13-0.0230%1 Aug →
ancient13–100.0321%1 Aug →
cache13–10-0.0215%25 Jul →
nuke4–13-0.0836%25 Jul →
inferno11–130.0325%25 Jul →
anubis13–6-0.0611%25 Jul →
inferno13–90.0719%25 Jul →
inferno16–130.0017%24 Jul →
ancient9–13-0.0020%24 Jul →
anubis11–13-0.0922%21 Jul →
nuke13–4-0.0218%21 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K 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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