AbelJay

AbelJay — CS2 Stats

NL76561198174334786[U:1:214069058]Steam profile ↗✓ No bans

950Tracked matches31%Win rate2020Tracked since
1,822Hours in CS
CSDB Rating4.4 DevelopingPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 950
−5.6ppWin rate · 36.7% → 31.0%

Rating over time

1,120Highest Faceit ELO seen on CSDB
41Days played since 2026-07-29

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate36.6%46.8%48.2%11.6% short
Shot accuracy14.7%13.0%13.2%above
Kill/death ratio0.951.061.070.13 short
Match win rate40.0%46.3%46.9%6.9% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAbelJayFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO1,120csdb.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

Aim54
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateLLTLLLLLWL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +3.7pp headshot accuracy · −46ms reaction

Win rate down 50pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 539ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 492ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 515ms

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 (+1.6 against its own average).

Aim5.4
Utility5.3
Positioning5.4
Opening Duels0.8
Clutch3.6

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning5.4
Utility5.3
Mechanics3.6
Opening Duels3.2
Win Impact0.0

Composite 4.4/10 (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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time528ms+28ms
first ⅓ avg 500ms → last ⅓ avg 528ms
Headshot accuracy17.4%−0.7%
first ⅓ avg 18.1% → last ⅓ avg 17.4%

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

0.34Best match rating · 9–1 · inferno, 7 Sept →
44%Best headshot accuracy · 7–9 · inferno, 15 Oct →
359msFastest reaction time · 3–9 · inferno, 4 Oct →
13–0Biggest win · mirage, 25 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–15In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 56% over 25infernoWeakest map · 38% over 32
MapGradePlayedRecordWin rateAvg rating
infernoC3212–2038%-0.00
mirageA2514–1156%0.00
ancientB2010–1050%-0.01
nukeB157–847%-0.01
cache—42–250%-0.01
eldorado—21–150%0.02
dust2—10–10%-0.03
poseidon—10–10%-0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,394Lifetime kills
0.95K/D
4,064Matches
40.0%Match win rate
36.6%Headshot %
14.7%Shot accuracy · Top 50% of Level 8 players
9,800MVPs
1,822Hours (in match)
3,831Bombs planted
965Bombs defused

Most-used weapons

AK-4719,978
AWP11,742
SG 5532,993
MP91,924
AUG1,877
MAC-101,558

Lifetime map wins

6,796inferno
2,934dust2
2,042vertigo
1,990nuke
1,801train
1,009cbble
369lake
197office

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

Faceit stats

Combat

299Matches
54%Win rate
1.06Avg K/D
76.0ADR
34%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7557%1.1915.5
Inferno4862%1.1815.9
Ancient3658%0.9112.8
Nuke2250%1.2216.3
Cache1567%1.0115.6
Dust2944%1.2212.9
Anubis617%1.2416.0
Overpass667%0.9212.5

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.

17.0%Headshot accuracy
30.7%Accuracy (enemy spotted)
34.8%Spray accuracy
66.4%Counter-strafing
10.4°Preaim
532msReaction time
47.0%T opening success
38.4%CT opening success
0.49Enemies flashed / flash
7.7%Flash assists
10.60HE damage / grenade
8.35Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4856 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3519% — 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.

38% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–130.0618%26 Oct →
dust22–13-0.039%26 Oct →
cache15–15-0.0017%20 Oct →
nuke7–13-0.0519%20 Oct →
inferno10–13-0.0838%19 Oct →
ancient10–13-0.0710%19 Oct →
mirage11–13-0.0622%19 Oct →
mirage3–13-0.0425%18 Oct →
nuke9–6-0.010%15 Oct →
inferno7–9-0.1044%15 Oct →
ancient13–10-0.0516%14 Oct →
mirage13–10-0.047%13 Oct →
mirage13–100.0126%13 Oct →
ancient13–9-0.0219%12 Oct →
ancient13–16-0.058%12 Oct →
mirage13–40.0325%12 Oct →
nuke11–13-0.0015%12 Oct →
nuke8–13-0.0218%11 Oct →
ancient11–130.0318%8 Oct →
ancient13–11-0.0113%8 Oct →
inferno11–13-0.0214%8 Oct →
inferno3–13-0.0117%7 Oct →
mirage13–60.0114%7 Oct →
ancient6–13-0.0610%5 Oct →
nuke7–9-0.128%5 Oct →
mirage4–13-0.0212%4 Oct →
inferno3–9-0.0928%4 Oct →
inferno4–9-0.1615%1 Oct →
mirage10–13-0.0717%28 Sept →
inferno7–13-0.0111%26 Sept →
mirage11–130.0217%25 Sept →
ancient13–11-0.0133%23 Sept →
inferno11–13-0.079%21 Sept →
inferno11–13-0.0418%21 Sept →
mirage13–8-0.0015%21 Sept →
inferno9–40.0923%21 Sept →
inferno13–60.0515%20 Sept →
mirage13–7-0.0222%20 Sept →
ancient11–13-0.0427%16 Sept →
inferno8–80.0417%16 Sept →
inferno9–50.1438%16 Sept →
mirage8–130.0026%16 Sept →
inferno5–13-0.0323%15 Sept →
inferno8–80.0324%15 Sept →
cache8–13-0.0415%13 Sept →
ancient10–1-0.0513%13 Sept →
ancient13–100.1017%10 Sept →
cache13–110.0410%10 Sept →
inferno9–60.0216%9 Sept →
inferno7–9-0.0912%9 Sept →
nuke9–70.0332%9 Sept →
poseidon4–9-0.1624%9 Sept →
ancient7–13-0.0220%8 Sept →
cache13–7-0.059%8 Sept →
mirage13–100.0526%8 Sept →
eldorado8–8-0.057%8 Sept →
mirage11–13-0.0112%8 Sept →
inferno7–9-0.0626%8 Sept →
nuke3–9-0.0719%8 Sept →
ancient13–9-0.0123%7 Sept →
mirage13–60.1223%7 Sept →
inferno9–10.3422%7 Sept →
inferno13–6-0.008%6 Sept →
inferno5–9-0.1111%6 Sept →
nuke3–9-0.1818%6 Sept →
inferno13–7-0.0115%3 Sept →
ancient13–40.0213%3 Sept →
inferno5–9-0.0429%3 Sept →
inferno7–9-0.0423%3 Sept →
inferno9–50.018%3 Sept →
inferno10–13-0.0212%26 Aug →
mirage13–10-0.0111%26 Aug →
mirage13–90.0017%26 Aug →
inferno14–16-0.0325%26 Aug →
inferno9–7-0.1019%26 Aug →
mirage15–15-0.0023%26 Aug →
mirage13–8-0.0210%25 Aug →
mirage13–00.0614%25 Aug →
nuke13–100.0928%25 Aug →
mirage13–90.0517%25 Aug →
inferno9–50.0933%25 Aug →
inferno19–170.019%24 Aug →
inferno3–9-0.1214%24 Aug →
inferno9–10.2531%24 Aug →
ancient13–11-0.0014%17 Aug →
nuke6–1-0.120%17 Aug →
nuke9–20.2732%17 Aug →
ancient9–130.0221%16 Aug →
ancient7–13-0.0614%16 Aug →
mirage13–9-0.018%16 Aug →
ancient10–13-0.0413%15 Aug →
eldorado9–10.1019%15 Aug →
nuke13–100.0615%12 Aug →
nuke9–13-0.0512%12 Aug →
nuke13–2-0.0032%3 Aug →
ancient7–13-0.0314%1 Aug →
mirage7–13-0.0130%1 Aug →
mirage10–13-0.0020%31 Jul →
ancient13–30.0720%30 Jul →
nuke9–13-0.0310%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.