Precum Manifest

Precum Manifest — CS2 Stats

76561198030099425[U:1:69833697]Steam profile ↗✓ No bans

1,932Tracked matches43%Win rate2021Tracked since
3,268Hours in CS2Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,389Top 50% of 215,386 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#95401 of 261525 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 19,389 -3,653 28 Apr – 13 Nov · 32 days played
19,38923,180peak 23,18028 Apr13 Nov
23,605Peak Premier in tracked matches
48Days played since 2026-04-28

Premier CS Rating

  • 3,791 below peak (23,180)
  • -240 over 30 days · steady
  • Next: Pink band at 20,000 — 611 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-25
  • Blue band first seen 2026-10-25

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate39.7%46.8%48.2%8.5% short
Shot accuracy21.6%13.0%13.2%above
Kill/death ratio1.471.061.07above
Match win rate53.2%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPrecum ManifestFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,389 · Purple 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

Aim78
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLLWWLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +2.2pp headshot accuracy · +10ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 538ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

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 (+0.9 against its own average).

Aim7.8
Utility5.4
Positioning6.4
Opening Duels4.7

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 57% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8
Positioning6.4
Utility5.4
Mechanics6.9
Opening Duels4.8
Win Impact2.6

Composite 6.2/10 (Solid), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time547ms−49ms
first ⅓ avg 595ms → last ⅓ avg 547ms
Headshot accuracy16.4%+4.2%
first ⅓ avg 12.2% → last ⅓ avg 16.4%

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

0.36Best match rating · 9–0 · inferno, 16 May →
42%Best headshot accuracy · 8–13 · inferno, 13 Nov →
422msFastest reaction time · 8–13 · inferno, 13 Nov →
13–2Biggest win · nuke, 9 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 56% over 27infernoWeakest map · 34% over 32
MapGradePlayedRecordWin rateAvg rating
infernoD3211–2134%0.00
nukeA2715–1256%0.01
anubisB178–947%-0.00
ancientC135–838%-0.01
mirage—40–40%0.01
cache—42–250%-0.03
dust2—31–233%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (34% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,469Lifetime kills
1.47K/D · Top 10% of Level 8 players
8,907Matches
53.2%Match win rate · Top 10% of Level 8 players
39.7%Headshot %
21.6%Shot accuracy · Top 1% of Level 8 players
23,455MVPs
1,857Hours (in match)
3,862Bombs planted
2,202Bombs defused

Most-used weapons

AK-4731,741
SSG 0813,075
AWP10,821
SCAR-204,787
P904,420

Lifetime map wins

13,548nuke
11,740inferno
9,727lake
3,369dust2
2,792vertigo
1,874safehouse
1,086bank
676ar_shoots

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

Faceit stats

Combat

304Matches
52%Win rate
1.27Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1656%1.3217.7
Inferno771%2.9917.4
Anubis650%1.0613.3
Vertigo250%0.6411.5
Ancient10%0.6710.0
Dust210%0.7110.0

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.

17.5%Headshot accuracy
37.6%Accuracy (enemy spotted)
37.8%Spray accuracy
81.1%Counter-strafing
10.0°Preaim
540msReaction time
41.6%T opening success
57.0%CT opening success
0.48Enemies flashed / flash
8.5%Flash assists
8.99HE damage / grenade
8.58Flashes / 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 0.4814 — below the 0.5 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.

34% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0242%13 Nov →
mirage5–130.0918%13 Nov →
anubis13–110.0414%9 Nov →
anubis13–90.0517%16 Oct →
inferno5–13-0.0615%16 Oct →
nuke5–13-0.079%16 Oct →
nuke13–4-0.0112%16 Oct →
mirage6–13-0.0813%16 Oct →
mirage10–13-0.0227%16 Oct →
nuke13–110.0126%5 Oct →
nuke15–150.0719%3 Oct →
dust213–3-0.0214%27 Sept →
mirage9–130.0514%27 Sept →
inferno13–90.0115%26 Sept →
anubis8–130.0014%21 Sept →
ancient13–160.0714%21 Sept →
nuke13–8-0.0020%20 Sept →
anubis13–50.1219%17 Sept →
nuke13–20.0921%9 Sept →
anubis1–13-0.1222%2 Sept →
inferno5–13-0.0814%30 Aug →
nuke10–130.0020%30 Aug →
inferno15–15-0.018%29 Aug →
nuke1–130.0020%29 Aug →
anubis13–110.0315%29 Aug →
nuke13–50.0112%27 Aug →
anubis10–13-0.0129%27 Aug →
inferno0–13-0.1212%9 Aug →
nuke16–120.0116%6 Aug →
anubis7–13-0.0613%27 Jul →
inferno13–9-0.045%9 Jul →
dust25–13-0.040%9 Jul →
nuke14–12-0.0111%5 Jul →
nuke11–13-0.0421%5 Jul →
nuke8–130.0117%29 Jun →
ancient13–11-0.0014%28 Jun →
inferno10–13-0.0214%28 Jun →
inferno16–14-0.0112%26 Jun →
ancient13–9-0.0214%26 Jun →
nuke1–13-0.120%24 Jun →
inferno6–130.0117%20 Jun →
anubis16–13-0.0514%20 Jun →
ancient8–13-0.0616%20 Jun →
inferno11–13-0.0616%16 Jun →
nuke2–13-0.0126%15 Jun →
ancient4–13-0.003%11 Jun →
dust22–13-0.097%11 Jun →
nuke13–11-0.0227%4 Jun →
anubis1–10-0.0712%1 Jun →
inferno13–90.0013%30 May →
inferno15–150.0018%30 May →
inferno13–50.0413%30 May →
nuke13–6-0.0023%30 May →
inferno13–60.0215%30 May →
ancient13–7-0.0411%29 May →
anubis11–13-0.0110%29 May →
inferno2–130.0316%29 May →
nuke13–8-0.018%29 May →
inferno11–130.0311%29 May →
inferno5–13-0.0515%23 May →
inferno10–130.1118%19 May →
ancient9–130.0113%17 May →
nuke10–130.0321%16 May →
anubis13–70.007%16 May →
nuke15–150.0211%16 May →
inferno9–00.3618%16 May →
nuke9–10.337%16 May →
inferno2–9-0.1918%16 May →
nuke16–120.0310%15 May →
nuke15–150.0317%15 May →
ancient12–160.0315%15 May →
inferno13–11-0.0411%14 May →
inferno13–160.0317%14 May →
ancient10–13-0.064%13 May →
ancient8–13-0.0216%12 May →
inferno11–130.1118%12 May →
anubis14–160.0211%9 May →
anubis13–70.0111%9 May →
ancient13–6-0.0310%9 May →
anubis13–100.0711%5 May →
ancient3–13-0.0315%5 May →
nuke13–5-0.0111%5 May →
inferno8–130.0113%5 May →
inferno3–13-0.016%4 May →
anubis11–130.0113%3 May →
ancient13–8-0.0216%3 May →
anubis5–13-0.0512%3 May →
cache13–8-0.057%2 May →
cache13–80.0318%2 May →
inferno3–13-0.0315%1 May →
inferno16–140.058%1 May →
inferno3–13-0.0112%1 May →
cache7–13-0.0211%1 May →
nuke9–70.0619%1 May →
nuke5–9-0.1212%1 May →
inferno9–4-0.046%1 May →
inferno5–9-0.027%1 May →
cache6–13-0.0710%29 Apr →
inferno13–70.0214%28 Apr →
nuke16–130.0212%28 Apr →

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 →

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