Sabifa.

Sabifa. — CS2 Stats

DE76561198072172108[U:1:111906380]Steam profile ↗✓ No bans

283Tracked matches47%Win rate2023Tracked since
1,369Hours in CS8Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,546 +3,547 22 May – 23 May · 30 days played
14,99918,546peak 18,54622 May23 May
18,546Peak Premier in tracked matches
45Days played since 2024-05-22

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

Performance scores

Aim60
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

COLD55–45Last 10055%Win rateLLLWWLLLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −5.1pp headshot accuracy · −66ms 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 -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 526ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 559ms

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 (+2.7 against its own average).

Aim6.0
Utility3.7
Positioning5.5
Opening Duels2.0
Clutch0.0

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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim6.0
Positioning5.5
Utility3.7
Mechanics4.3
Opening Duels3.0
Win Impact3.9

Composite 4.8/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time590ms−24ms
first ⅓ avg 614ms → last ⅓ avg 590ms
Headshot accuracy18.5%+3.4%
first ⅓ avg 15.1% → last ⅓ avg 18.5%

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

0.10Best match rating · 13–9 · overpass, 14 May →
41%Best headshot accuracy · 11–13 · dust2, 21 Sept →
406msFastest reaction time · 13–9 · anubis, 21 Oct →
13–1Biggest win · dust2, 7 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 75% over 8nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA2514–1156%-0.00
dust2A2212–1055%-0.01
anubisB158–753%-0.01
infernoA138–562%0.00
nukeC125–742%-0.01
mirageS86–275%-0.00
overpass—42–250%0.03
cache—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,651Lifetime kills
1.12K/D · Top 50% of tracked players
1,181Matches
47.1%Match win rate · Top 50% of tracked players
41.0%Headshot %
12.7%Shot accuracy · Top 50% of tracked players
2,625MVPs
458Hours (in match)
2,548Bombs planted
349Bombs defused

Most-used weapons

Lifetime map wins

5,831dust2
1,678inferno
1,126nuke
699cbble
599vertigo
183office
105assault
97lake

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

Faceit stats

Combat

3Matches
33%Win rate
0.40Avg K/D
52.5ADR
69%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.556.0
Dust210%0.315.0
Ancient10%0.336.0

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.

17.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
38.1%Spray accuracy
69.5%Counter-strafing
9.9°Preaim
586msReaction time
45.1%T opening success
39.2%CT opening success
0.47Enemies flashed / flash
3.2%Flash assists
9.22HE damage / grenade
2.61Flashes / 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 0.4682 — 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 39.2307% — below the 40% mark we flag

Spend your practice time on Nuke

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0711%30 Oct →
dust29–13-0.0423%28 Oct →
anubis9–130.0216%28 Oct →
anubis13–4-0.0212%26 Oct →
ancient13–11-0.0524%26 Oct →
ancient11–13-0.0011%23 Oct →
cache9–13-0.0220%23 Oct →
ancient9–13-0.0512%21 Oct →
anubis13–9-0.017%21 Oct →
inferno6–13-0.0418%19 Oct →
inferno13–110.0422%19 Oct →
dust27–13-0.1012%9 Oct →
anubis13–4-0.0317%9 Oct →
ancient6–13-0.0912%9 Oct →
anubis10–13-0.0422%9 Oct →
dust213–70.0419%7 Oct →
mirage4–13-0.0214%24 Sept →
dust211–13-0.0441%21 Sept →
ancient13–7-0.0111%21 Sept →
dust213–20.0335%21 Sept →
anubis11–5-0.0120%23 May →
dust213–40.0326%23 May →
anubis4–13-0.0517%23 May →
dust28–13-0.0720%19 May →
ancient13–80.049%19 May →
dust210–13-0.0419%16 May →
nuke13–11-0.0118%16 May →
ancient9–130.0620%14 May →
overpass13–90.1014%14 May →
mirage13–40.0314%14 May →
mirage13–70.1032%9 May →
nuke13–80.0221%9 May →
inferno13–60.0423%9 May →
ancient16–120.0120%9 May →
overpass8–13-0.0012%9 May →
nuke13–160.0316%4 May →
ancient12–160.0411%22 Apr →
dust213–10-0.0116%22 Apr →
ancient5–13-0.0713%20 Apr →
dust26–130.0123%20 Apr →
overpass13–40.0216%19 Apr →
ancient13–80.0211%19 Apr →
dust213–20.0413%19 Apr →
anubis14–16-0.0219%10 Apr →
inferno16–14-0.0216%9 Apr →
dust28–13-0.0817%9 Apr →
dust210–50.0118%29 Mar →
anubis13–8-0.0416%29 Mar →
ancient13–60.0030%28 Mar →
inferno13–9-0.0020%28 Mar →
ancient13–11-0.0420%28 Mar →
ancient14–16-0.0011%26 Mar →
inferno11–13-0.0532%22 Mar →
inferno2–80.009%22 Mar →
ancient13–20.0518%22 Mar →
inferno13–90.0627%20 Mar →
nuke7–130.0125%20 Mar →
ancient13–20.0827%20 Mar →
mirage13–40.029%13 Mar →
inferno13–90.0120%9 Mar →
inferno13–80.0013%9 Mar →
ancient14–16-0.0014%5 Mar →
inferno13–60.0326%5 Mar →
ancient4–13-0.0623%3 Mar →
anubis6–130.0227%3 Mar →
anubis13–70.0713%2 Mar →
dust25–13-0.0412%28 Feb →
ancient16–14-0.059%28 Feb →
nuke13–70.0324%28 Feb →
ancient16–12-0.0115%28 Feb →
nuke1–13-0.0621%28 Feb →
nuke11–13-0.0614%25 Feb →
ancient7–13-0.059%25 Feb →
ancient9–130.0418%23 Feb →
ancient13–3-0.0111%23 Feb →
dust210–13-0.019%23 Feb →
inferno7–13-0.0411%21 Feb →
dust213–10-0.0324%21 Feb →
nuke11–13-0.0319%21 Feb →
mirage16–13-0.0514%10 Feb →
dust213–70.0316%9 Feb →
anubis13–100.0212%9 Feb →
inferno9–13-0.0014%7 Feb →
dust213–1-0.038%7 Feb →
mirage13–7-0.055%6 Feb →
dust28–13-0.0330%6 Feb →
overpass9–130.0110%6 Feb →
mirage13–110.0814%5 Feb →
ancient13–40.0912%2 Feb →
dust213–80.0119%2 Feb →
dust213–60.0817%2 Feb →
anubis8–130.0115%1 Feb →
nuke13–7-0.007%1 Feb →
anubis3–13-0.0312%1 Feb →
nuke13–11-0.0618%31 May →
nuke13–160.0528%31 May →
mirage0–13-0.128%23 May →
anubis13–8-0.0116%23 May →
dust213–80.0629%22 May →
ancient13–3-0.019%22 May →

Match data via Leetify.

Recent teammates

Milestones

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

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