Shamaani

Shamaani — CS2 Stats

76561198366611623[U:1:406345895]Steam profile ↗✓ No bans

1,012Tracked matches38%Win rate2023Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating11,771Blue band · top ~45.5% of ranked players (population est.)
FaceitLevel 5 · 1,144 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 11,771 -7,208 9 Feb – 4 Nov · 26 days played
10,88118,979peak 18,9799 Feb4 Nov
19,321Peak Premier in tracked matches
1,144Highest Faceit ELO seen on CSDB
35Days played since 2026-02-09

Faceit ELO

  • At peak — 1,144
  • Next: Level 6 at 1,201 — 57 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 7,208 below peak (18,979)
  • +680 over 30 days · improving
  • -1,465 over 90 days
  • Next: Purple band at 15,000 — 3,229 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGShamaaniFACEITLevel 5 · 1,144 ELOSTANDINGTop 67.6% of rankedPREMIER11,771 · Blue bandPEAK ELO1,144csdb.gg/stats

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Performance scores

Aim59
Positioning42
Utility20

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateTLWLWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −32ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 539ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 530ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 546ms

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 (+1.4 against its own average).

Aim5.9
Utility2.0
Positioning4.2
Opening Duels2.0
Clutch3.0

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

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

Reaction time. 592ms 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

Aim5.9
Positioning4.2
Utility2.0
Mechanics5.9
Opening Duels1.4
Win Impact1.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time591ms−44ms
first ⅓ avg 635ms → last ⅓ avg 591ms
Headshot accuracy12.5%−3.6%
first ⅓ avg 16.1% → last ⅓ avg 12.5%

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

0.29Best match rating · 9–1 · overpass, 27 Mar →
69%Best headshot accuracy · 9–1 · poseidon, 23 Mar →
438msFastest reaction time · 9–13 · nuke, 2 Nov →
13–2Biggest win · inferno, 5 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 100% over 5mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC2712–1544%-0.01
anubisB199–1047%-0.01
infernoA1810–856%0.02
cacheC94–544%-0.02
mirageD61–517%-0.06
ancientD61–517%-0.01
overpassS55–0100%0.06
dust2—41–325%-0.02
vertigo—42–250%0.02
sanctum—11–0100%0.00
poseidon—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
53%Win rate
0.98Avg K/D
75.5ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1164%0.9715.3
Train650%0.9617.7
Inferno540%0.9114.6
Ancient40%0.6712.0
Dust2450%0.8115.3
Mirage2100%1.3915.5
Vertigo2100%1.8219.5

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.

12.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.7%Spray accuracy
76.8%Counter-strafing
9.8°Preaim
592msReaction time
29.4%T opening success
41.1%CT opening success
0.22Enemies flashed / flash
2.1%Flash assists
7.63HE damage / grenade
3.63Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.6348% — below the 15% mark we flag

    Aim Training →
  2. 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 0.219 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.3981% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0518%4 Nov →
inferno10–13-0.0410%3 Nov →
anubis13–10-0.0410%3 Nov →
mirage1–13-0.084%3 Nov →
cache13–110.0214%3 Nov →
dust213–50.0217%2 Nov →
nuke9–130.0211%2 Nov →
mirage8–13-0.0515%18 Oct →
cache10–13-0.0614%16 Oct →
cache4–13-0.0114%16 Oct →
mirage10–13-0.110%15 Oct →
inferno13–30.072%15 Oct →
cache16–140.0310%15 Oct →
dust29–130.0019%30 Sept →
anubis6–13-0.047%30 Sept →
inferno6–130.076%30 Sept →
nuke13–9-0.0114%28 Sept →
cache11–13-0.0817%28 Sept →
cache7–13-0.0017%23 Sept →
nuke13–70.0413%20 Sept →
mirage9–13-0.1013%3 Sept →
nuke13–5-0.017%3 Sept →
inferno13–80.0216%3 Sept →
anubis11–13-0.0410%3 Sept →
inferno10–13-0.0317%31 Aug →
nuke10–13-0.049%10 Aug →
ancient14–160.0016%10 Aug →
anubis13–60.1116%5 Aug →
inferno13–20.046%5 Aug →
ancient10–13-0.0426%5 Aug →
nuke13–30.0110%5 Aug →
nuke13–4-0.0621%5 Aug →
inferno8–13-0.0414%5 Aug →
inferno8–13-0.0711%4 Aug →
nuke11–130.0324%4 Aug →
ancient5–13-0.0522%4 Aug →
anubis4–13-0.0216%4 Aug →
nuke13–60.0314%3 Aug →
anubis11–13-0.0310%3 Aug →
anubis15–15-0.069%3 Aug →
cache11–13-0.0618%3 Aug →
nuke10–13-0.046%3 Aug →
nuke2–9-0.074%3 Aug →
inferno10–130.0411%2 Aug →
cache13–9-0.0211%2 Aug →
nuke9–13-0.0322%1 Aug →
nuke13–60.0016%1 Aug →
anubis13–11-0.057%31 Jul →
nuke13–10-0.0219%31 Jul →
inferno13–8-0.0313%31 Jul →
anubis13–40.1013%31 Jul →
cache16–140.0222%30 Jul →
anubis3–13-0.065%30 Jul →
inferno16–140.0424%30 Jul →
nuke13–100.0021%30 Jul →
dust28–13-0.0614%29 Jul →
anubis13–70.1117%29 Jul →
nuke10–130.0115%25 Jul →
vertigo3–9-0.1121%8 Apr →
inferno9–20.1231%8 Apr →
vertigo6–9-0.0311%28 Mar →
nuke2–130.0616%27 Mar →
sanctum9–60.0019%27 Mar →
overpass9–10.2918%27 Mar →
vertigo9–7-0.009%27 Mar →
overpass9–3-0.0517%27 Mar →
inferno9–20.2022%27 Mar →
vertigo9–20.2124%25 Mar →
inferno9–2-0.0216%25 Mar →
poseidon9–10.1369%23 Mar →
overpass9–6-0.0410%23 Mar →
nuke9–6-0.0410%22 Mar →
nuke7–13-0.0314%17 Feb →
anubis7–13-0.0517%17 Feb →
ancient5–130.0417%14 Feb →
inferno16–13-0.0118%14 Feb →
ancient7–13-0.0533%14 Feb →
ancient13–110.0114%14 Feb →
inferno8–13-0.0527%14 Feb →
anubis13–11-0.0410%14 Feb →
anubis6–13-0.0712%14 Feb →
inferno13–5-0.0016%14 Feb →
overpass13–10-0.0111%14 Feb →
nuke13–30.0212%14 Feb →
inferno8–13-0.039%13 Feb →
nuke11–13-0.0412%13 Feb →
anubis13–90.0218%13 Feb →
nuke8–13-0.0419%13 Feb →
nuke11–13-0.045%12 Feb →
mirage13–11-0.0315%12 Feb →
nuke11–13-0.058%12 Feb →
mirage10–130.0313%12 Feb →
anubis8–130.019%11 Feb →
nuke8–13-0.0014%10 Feb →
anubis13–70.0410%10 Feb →
anubis5–13-0.0813%9 Feb →
overpass13–20.0913%9 Feb →
nuke10–13-0.0117%9 Feb →
anubis13–10-0.027%9 Feb →
nuke13–8-0.0020%9 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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