Ajaful

Ajaful — CS2 Stats

IE76561199008467629[U:1:1048201901]Steam profile ↗✓ No bans

270Tracked matches48%Win rate2021Tracked since
1,314Hours in CS9Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating8,739Light Blue band · top ~60.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,739 +4,281 26 Aug – 31 Oct · 34 days played
4,4588,961peak 8,96126 Aug31 Oct
9,281Peak Premier in tracked matches
38Days played since 2026-08-26

Premier CS Rating

  • 222 below peak (8,961)
  • +1,787 over 30 days · improving
  • Next: Blue band at 10,000 — 1,261 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate44.2%41.3%41.8%above
Shot accuracy14.4%12.7%12.2%above
Kill/death ratio0.980.950.98meets
Match win rate42.0%42.6%43.3%1.3% short

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAjafulFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,739 · Light Blue bandcsdb.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

Aim77
Positioning73
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWLWLLLLLWW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −0.4pp headshot accuracy · +33ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 531ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 543ms

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 (+2.2 against its own average).

Aim7.7
Utility2.5
Positioning7.3
Opening Duels5.4

Limited utility dependence

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

donk

Plays most like donk 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.7
Positioning7.3
Utility2.5
Mechanics5.3
Opening Duels8.1
Win Impact4.4

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time541ms−36ms
first ⅓ avg 577ms → last ⅓ avg 541ms
Headshot accuracy21.1%+0.2%
first ⅓ avg 20.9% → last ⅓ avg 21.1%

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

0.23Best match rating · 13–7 · dust2, 5 Sept →
50%Best headshot accuracy · 13–0 · inferno, 31 Oct →
359msFastest reaction time · 4–0 · nuke, 5 Sept →
13–0Biggest win · inferno, 31 Oct →

Across the last 100 tracked matches.

Highlights

13Longest win streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 64% over 14infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B178–947%0.05
cacheA159–660%0.04
ancientA159–660%0.03
mirageB157–847%0.06
nukeA149–564%0.03
anubisA116–555%0.08
infernoC83–538%0.03
overpass—20–20%-0.05
office—22–0100%0.08
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,631Lifetime kills
0.98K/D · Top 50% of Level 2 players
1,971Matches
42.0%Match win rate
44.2%Headshot % · Top 50% of Level 2 players
14.4%Shot accuracy · Top 50% of Level 2 players
4,858MVPs
680Hours (in match)
2,285Bombs planted
332Bombs defused

Most-used weapons

Lifetime map wins

2,725dust2
2,424inferno
1,273nuke
1,241office
1,152train
572vertigo
254cbble
167lake

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

Faceit stats

Combat

21Matches
43%Win rate
0.88Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

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.

20.4%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.0%Spray accuracy
73.9%Counter-strafing
8.4°Preaim
548msReaction time
68.1%T opening success
56.6%CT opening success
0.52Enemies flashed / flash
2.8%Flash assists
4.51HE damage / grenade
3.51Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5139 — below the 4 mark we flag

    Grenade Lineups →
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 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–00.2050%31 Oct →
cache10–13-0.0110%19 Oct →
ancient13–110.0721%19 Oct →
mirage7–130.0313%19 Oct →
dust29–13-0.0717%19 Oct →
mirage10–130.0520%18 Oct →
dust211–13-0.0519%18 Oct →
mirage12–160.0423%18 Oct →
nuke13–70.039%18 Oct →
cache13–7-0.0229%18 Oct →
nuke13–50.0327%18 Oct →
anubis13–160.0817%18 Oct →
anubis10–130.0313%16 Oct →
ancient13–9-0.0422%16 Oct →
ancient6–13-0.0833%16 Oct →
cache13–8-0.0017%15 Oct →
ancient13–10-0.0215%15 Oct →
dust213–60.0425%15 Oct →
inferno4–13-0.0726%15 Oct →
anubis13–70.0422%15 Oct →
cache13–80.0120%14 Oct →
mirage1–13-0.0724%14 Oct →
cache13–100.0626%12 Oct →
ancient8–130.0420%12 Oct →
dust215–150.0422%12 Oct →
nuke6–130.0223%11 Oct →
ancient13–100.0118%11 Oct →
ancient10–130.0213%11 Oct →
nuke13–40.0319%11 Oct →
ancient13–160.0619%10 Oct →
mirage13–10.0217%10 Oct →
dust28–130.0319%10 Oct →
anubis13–70.1331%10 Oct →
cache16–140.1719%9 Oct →
anubis11–130.0921%9 Oct →
nuke13–30.1038%5 Oct →
dust213–60.2042%5 Oct →
mirage13–60.1219%5 Oct →
cache2–130.0215%5 Oct →
mirage13–70.0937%30 Sept →
cache13–100.0314%29 Sept →
dust20–70.0023%29 Sept →
mirage5–130.0716%28 Sept →
mirage11–130.1013%28 Sept →
inferno15–150.0920%27 Sept →
cache13–80.1112%26 Sept →
inferno10–13-0.0021%25 Sept →
mirage4–13-0.0125%25 Sept →
dust213–110.0222%25 Sept →
ancient13–70.1016%24 Sept →
cache11–130.048%23 Sept →
vertigo13–30.1023%23 Sept →
dust213–100.0934%23 Sept →
nuke13–100.0413%23 Sept →
ancient13–90.0726%22 Sept →
nuke9–13-0.0115%21 Sept →
inferno13–70.0822%21 Sept →
nuke7–130.0522%20 Sept →
cache13–160.1318%19 Sept →
cache13–60.0715%19 Sept →
ancient6–20.0919%19 Sept →
anubis16–140.1016%19 Sept →
anubis10–13-0.0512%17 Sept →
ancient13–10-0.0228%17 Sept →
dust213–100.0221%16 Sept →
mirage5–13-0.047%13 Sept →
anubis12–120.0517%13 Sept →
overpass5–13-0.0417%13 Sept →
dust210–130.0626%11 Sept →
nuke9–13-0.038%11 Sept →
nuke5–130.0529%11 Sept →
inferno5–13-0.0216%10 Sept →
mirage13–40.1221%9 Sept →
office13–90.0322%9 Sept →
nuke13–50.0942%9 Sept →
dust28–13-0.0121%9 Sept →
mirage13–40.0726%9 Sept →
overpass3–13-0.0636%9 Sept →
anubis13–100.1726%9 Sept →
ancient5–13-0.0326%6 Sept →
ancient8–130.0613%6 Sept →
anubis9–60.0110%6 Sept →
dust25–130.1229%6 Sept →
dust213–70.2313%5 Sept →
nuke4–00.1321%5 Sept →
anubis13–20.2111%5 Sept →
nuke16–140.0215%4 Sept →
ancient13–80.0813%4 Sept →
dust213–90.0922%2 Sept →
office13–70.1313%1 Sept →
mirage13–100.1523%1 Sept →
dust213–40.0836%1 Sept →
mirage13–80.1724%1 Sept →
inferno13–8-0.0346%30 Aug →
nuke13–11-0.0626%29 Aug →
cache13–90.016%29 Aug →
dust28–130.0120%28 Aug →
cache8–13-0.1110%26 Aug →
inferno11–13-0.0213%26 Aug →
cache8–130.0411%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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