Saddam Hussein

Saddam Hussein — CS2 Stats

76561199554340257[U:1:1594074529]Steam profile ↗✓ No bans

515Tracked matches38%Win rate2025Tracked since
1,078Hours in CS14Hrs last 2 wks
CSDB Rating4.6 DevelopingAll-Rounder
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+103Premier CS Rating · 4,896 → 4,999

Rating over time

Premier CS Rating: 4,999 +1,322 24 Jul – 4 Oct · 19 days played
3,6777,139peak 7,13924 Jul4 Oct
7,419Peak Premier in tracked matches
24Days played since 2026-07-24

Premier CS Rating

  • 2,140 below peak (7,139)
  • -1,279 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-22

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate59.3%38.2%39.9%above
Shot accuracy0.3%3.6%7.0%6.7% short
Kill/death ratio1.050.830.92above
Match win rate41.2%40.2%42.3%1.0% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSaddam HusseinPREMIER4,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim65
Positioning50
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLWTWWLTLW

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · −0.8pp headshot accuracy · −5ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 619ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 670ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 672ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.5
Utility4.3
Positioning5.0
Opening Duels3.5

Strong CT-side opener

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 95% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 617ms 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

Aim6.5
Positioning5.0
Utility4.3
Mechanics6.4
Opening Duels4.7
Win Impact1.0

Composite 4.6/10 (Developing), 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 -0.01 → last ⅓ avg 0.02
Reaction time641ms+28ms
first ⅓ avg 613ms → last ⅓ avg 641ms
Headshot accuracy19.5%−0.2%
first ⅓ avg 19.7% → last ⅓ avg 19.5%

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

0.25Best match rating · 9–7 · nuke, 2 Oct →
43%Best headshot accuracy · 6–9 · poseidon, 1 Oct →
422msFastest reaction time · 2–9 · inferno, 10 Sept →
13–1Biggest win · nuke, 29 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 58% over 26infernoWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
nukeA2615–1158%0.02
infernoC2310–1343%0.01
mirageC146–843%-0.02
anubisA116–555%-0.03
ancientB115–645%-0.01
dust2A74–357%0.01
cache—42–250%-0.02
vertigo—21–150%0.06
poseidon—20–20%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,230Lifetime kills
1.05K/D · Top 25% of Grey band
2,193Matches
41.2%Match win rate · Top 50% of Grey band
59.3%Headshot % · Top 5% of Grey band
0.3%Shot accuracy
7,297MVPs
503Hours (in match)
1,896Bombs planted
411Bombs defused

Most-used weapons

Lifetime map wins

4,484inferno
2,923nuke
1,396dust2
1,145vertigo
202train
59office
25italy
13ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.8%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.2%Spray accuracy
79.0%Counter-strafing
8.8°Preaim
617msReaction time
44.9%T opening success
52.7%CT opening success
0.50Enemies flashed / flash
3.5%Flash assists
9.34HE damage / grenade
7.47Flashes / match

Recommended for you

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.

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–5-0.0420%4 Oct →
nuke3–9-0.1317%4 Oct →
mirage12–3-0.0119%2 Oct →
nuke8–80.0629%2 Oct →
nuke9–70.2524%2 Oct →
inferno9–30.2129%2 Oct →
ancient4–13-0.0521%1 Oct →
nuke8–80.1519%1 Oct →
inferno2–9-0.1218%1 Oct →
vertigo9–30.1910%1 Oct →
poseidon1–9-0.1624%1 Oct →
poseidon6–90.0443%1 Oct →
inferno9–6-0.0114%1 Oct →
nuke9–40.2518%1 Oct →
mirage11–13-0.0212%30 Sept →
mirage13–4-0.0224%29 Sept →
dust27–13-0.0428%27 Sept →
mirage4–13-0.0515%23 Sept →
ancient13–10-0.0320%23 Sept →
mirage5–13-0.0117%21 Sept →
inferno8–80.0118%21 Sept →
nuke3–10-0.0310%16 Sept →
nuke11–130.0013%16 Sept →
dust213–70.0721%16 Sept →
nuke9–130.0016%15 Sept →
dust26–13-0.0317%15 Sept →
dust213–50.0615%15 Sept →
anubis7–13-0.0217%14 Sept →
ancient8–130.0133%14 Sept →
inferno13–7-0.0115%14 Sept →
inferno2–90.089%10 Sept →
nuke3–9-0.1222%9 Sept →
nuke9–40.1618%9 Sept →
inferno9–30.1423%9 Sept →
inferno9–50.0529%9 Sept →
nuke9–70.1518%9 Sept →
mirage13–9-0.0423%9 Sept →
inferno5–9-0.0229%9 Sept →
nuke13–8-0.0131%6 Sept →
inferno6–9-0.0213%6 Sept →
vertigo5–9-0.076%30 Aug →
inferno9–30.0917%30 Aug →
inferno0–9-0.170%29 Aug →
inferno1–9-0.1025%29 Aug →
ancient7–13-0.0418%27 Aug →
cache13–70.0533%27 Aug →
nuke1–13-0.0622%27 Aug →
inferno6–9-0.0032%27 Aug →
inferno15–15-0.0215%16 Aug →
anubis5–13-0.0916%16 Aug →
dust25–13-0.0712%16 Aug →
inferno9–60.0316%16 Aug →
mirage10–13-0.0220%16 Aug →
mirage3–13-0.0421%16 Aug →
nuke13–110.0433%16 Aug →
inferno6–13-0.0315%16 Aug →
mirage2–13-0.0723%29 Jul →
ancient16–120.0020%29 Jul →
mirage11–00.0617%29 Jul →
anubis13–20.0622%29 Jul →
nuke13–1-0.0116%29 Jul →
cache13–16-0.0313%28 Jul →
ancient8–13-0.0226%28 Jul →
nuke13–7-0.0117%28 Jul →
nuke14–16-0.0515%28 Jul →
inferno13–110.0221%28 Jul →
anubis11–13-0.057%28 Jul →
nuke13–8-0.0516%28 Jul →
mirage15–15-0.0713%27 Jul →
ancient8–13-0.0217%27 Jul →
anubis13–9-0.036%27 Jul →
nuke5–13-0.0832%27 Jul →
mirage13–2-0.0428%27 Jul →
cache13–3-0.0614%27 Jul →
nuke13–5-0.0328%27 Jul →
anubis13–10-0.0119%27 Jul →
inferno13–60.0217%27 Jul →
anubis16–14-0.027%27 Jul →
anubis13–11-0.057%27 Jul →
ancient13–8-0.0719%27 Jul →
nuke13–100.0617%27 Jul →
cache4–13-0.0738%26 Jul →
inferno13–100.0115%26 Jul →
anubis7–13-0.0522%26 Jul →
nuke13–8-0.0115%26 Jul →
mirage4–13-0.0310%26 Jul →
nuke13–4-0.0415%26 Jul →
nuke0–13-0.050%26 Jul →
ancient13–50.0619%26 Jul →
ancient9–13-0.0225%26 Jul →
mirage13–90.0519%25 Jul →
dust213–70.1033%25 Jul →
inferno9–13-0.0131%25 Jul →
nuke16–120.0424%25 Jul →
inferno2–13-0.0629%25 Jul →
inferno12–160.1026%24 Jul →
nuke13–80.1329%24 Jul →
dust213–4-0.0021%24 Jul →
anubis2–13-0.0319%24 Jul →
ancient13–30.0423%24 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 →

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