Sheikh Raivo

Sheikh Raivo — CS2 Stats

GQ76561199510832133[U:1:1550566405]Steam profile ↗✓ No bans

1,887Tracked matches32%Win rate2023Tracked since
CSDB Rating3.8 LearningPositional Player
FaceitLevel 4 · 1,128 ELOTop 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,128 → 1,128
+3Tracked matches · now 1,887
−8.0ppWin rate · 40.0% → 32.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 24 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,362 +580 24 Feb8 May · 11 days played
17,78220,332peak 20,33224 Feb8 May
Faceit ELO: 1,128 +0 5 Sept17 Sept · 2 observations
1,1281,128peak 1,1285 Sept17 Sept
20,332Peak Premier in tracked matches
1,128Highest Faceit ELO seen on CSDB
37Days played since 2026-02-24

Faceit ELO

  • At peak — 1,128
  • Next: Level 6 at 1,201 73 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-05
  • Level 4 first seen 2026-09-05

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

Share this profile

CSDB.GGSheikh RaivoFACEITLevel 4 · 1,128 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,128csdb.gg/stats

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Performance scores

Aim55
Positioning42
Utility41

0–100 skill scores via Leetify.

Recent form

COLD443917Last 10044%Win rateLLLTLWTLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −8.5pp headshot accuracy · −80ms reaction

Win rate down 40pp 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

  • 041 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 566ms

Last 10

  • 172 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

Last 20

  • 6113 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 645ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim5.5
Utility4.1
Positioning4.2
Opening Duels1.6
Clutch1.4

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

NiKo

Plays most like NiKo 88% 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

T-side openings. Opening success drops from 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim5.5
Positioning4.2
Utility4.1
Mechanics6.4
Opening Duels1.7
Win Impact0.0

Composite 3.8/10 (Learning), 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 rating-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time632ms−16ms
first ⅓ avg 648ms → last ⅓ avg 632ms
Headshot accuracy20.9%−2.6%
first ⅓ avg 23.5% → last ⅓ avg 20.9%

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

0.19Best match rating · 9–1 · inferno, 6 Mar
71%Best headshot accuracy · 9–1 · inferno, 6 Mar
414msFastest reaction time · 11–13 · inferno, 8 May
13–0Biggest win · cache, 29 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
78In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeS1410471%0.03
infernoD134931%-0.02
anubisB115645%-0.03
overpassB115645%0.01
mirageB105550%-0.03
cacheC94544%-0.02
vertigoD93633%-0.05
ancientD61517%-0.03
train42250%-0.00
poseidon43175%0.09
warden3030%-0.01
dust231233%-0.03
sanctum21150%0.15
alpine1010%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

158Matches
51%Win rate
0.84Avg K/D
72.5ADR
55%Headshot %

Clutches & streaks

27%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4848%0.8513.6
Nuke2055%0.8813.9
Dust21844%1.0314.2
Overpass1457%0.8714.4
Ancient1457%0.7613.0
Inferno1457%0.8813.0
Anubis1450%0.7211.3
Vertigo933%0.468.7

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.

21.1%Headshot accuracy
27.4%Accuracy (enemy spotted)
26.3%Spray accuracy
78.9%Counter-strafing
8.6°Preaim
613msReaction time
21.9%T opening success
43.2%CT opening success
0.58Enemies flashed / flash
2.6%Flash assists
8.70HE damage / grenade
5.79Flashes / 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. 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 21.8557% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0318%10 Sept
anubis10–130.0013%10 Sept
mirage0–7-0.019%10 Sept
cache12–12-0.054%17 Aug
anubis6–13-0.0612%12 Aug
nuke13–9-0.0420%12 Aug
vertigo12–120.0130%7 Aug
cache8–130.0122%2 Aug
ancient7–13-0.0419%1 Aug
cache1–13-0.1213%1 Aug
nuke11–13-0.0618%30 Jul
inferno11–13-0.0728%22 Jun
mirage12–12-0.0524%22 Jun
inferno13–50.0320%17 Jun
train13–8-0.0324%17 Jun
train4–13-0.0717%17 Jun
nuke13–2-0.0132%12 Jun
cache13–110.0637%12 Jun
overpass17–19-0.0323%8 Jun
cache13–30.0319%3 Jun
anubis6–130.0124%8 May
overpass3–13-0.0920%8 May
ancient8–13-0.0224%8 May
inferno11–13-0.0714%8 May
ancient9–130.0124%5 May
nuke15–15-0.0813%5 May
anubis13–11-0.0924%5 May
poseidon9–10.1029%5 May
ancient15–15-0.0030%5 May
nuke13–70.0521%5 May
overpass7–13-0.0427%5 May
cache13–0-0.0416%29 Apr
cache13–5-0.0425%29 Apr
cache10–13-0.0418%29 Apr
cache11–13-0.0133%29 Apr
train13–90.0230%27 Apr
mirage8–13-0.0815%20 Apr
alpine3–130.0146%15 Apr
ancient13–8-0.058%15 Apr
warden6–130.0526%21 Mar
inferno6–13-0.0429%21 Mar
anubis12–12-0.0222%21 Mar
warden8–130.0126%19 Mar
vertigo13–7-0.0738%17 Mar
nuke13–90.0213%17 Mar
train12–120.0619%15 Mar
vertigo9–00.1028%12 Mar
inferno6–90.0021%12 Mar
warden12–12-0.1017%10 Mar
anubis10–13-0.0416%9 Mar
anubis13–7-0.0122%8 Mar
mirage13–10-0.0120%8 Mar
ancient4–13-0.0532%7 Mar
inferno9–10.1971%6 Mar
inferno7–13-0.0319%5 Mar
nuke9–50.0412%5 Mar
inferno13–50.0632%4 Mar
sanctum8–80.1741%4 Mar
overpass9–20.1023%4 Mar
vertigo4–9-0.1018%4 Mar
vertigo1–9-0.2014%4 Mar
nuke9–40.1814%4 Mar
poseidon9–70.0139%4 Mar
nuke9–50.0119%3 Mar
inferno6–9-0.1318%3 Mar
overpass7–90.0326%3 Mar
nuke13–7-0.0115%2 Mar
nuke13–10.1031%2 Mar
mirage13–100.0218%2 Mar
overpass13–70.1023%2 Mar
vertigo9–5-0.0814%2 Mar
nuke8–80.0323%2 Mar
inferno6–9-0.0444%2 Mar
poseidon9–10.1511%2 Mar
mirage12–12-0.0522%2 Mar
inferno13–8-0.0524%1 Mar
anubis10–13-0.0221%1 Mar
mirage13–11-0.0717%1 Mar
vertigo12–12-0.0320%28 Feb
sanctum9–30.1325%28 Feb
poseidon8–80.0824%28 Feb
vertigo1–9-0.095%28 Feb
inferno8–8-0.0638%28 Feb
overpass9–50.0115%28 Feb
nuke9–70.1429%28 Feb
vertigo8–80.0518%27 Feb
overpass8–80.0827%27 Feb
inferno8–80.0141%27 Feb
dust25–13-0.0215%27 Feb
overpass13–8-0.027%27 Feb
mirage13–7-0.0132%27 Feb
anubis13–8-0.0135%27 Feb
dust26–13-0.0626%27 Feb
overpass4–13-0.0042%27 Feb
mirage13–11-0.0316%26 Feb
anubis16–13-0.0420%26 Feb
overpass13–90.0118%26 Feb
anubis13–11-0.0423%24 Feb
dust213–10-0.0124%24 Feb
mirage14–16-0.0228%24 Feb

Match data via Leetify.

Recent teammates

Milestones

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