Shalommancer

Shalommancer — CS2 Stats

NG76561198005723078[U:1:45457350]Steam profile ↗✓ No bans

785Tracked matches52%Win rate2020Tracked since
1,786Hours in CS10Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating15,476Purple band · top ~26.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 785 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,476 +0 25 Sept – 11 Nov · 2 observations
15,47615,476peak 15,47625 Sept11 Nov
15,476Peak Premier on CSDB
55Days played since 2026-05-04

Premier CS Rating

  • At peak — 15,476
  • Next: Pink band at 20,000 — 4,524 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-25

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate24.1%41.8%42.7%18.6% short
Shot accuracy10.3%12.2%11.2%1.0% short
Kill/death ratio0.930.980.990.07 short
Match win rate43.4%43.3%43.9%meets

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGShalommancerFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,476 · 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

Aim57
Positioning54
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateLTLLWLWWWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · −4ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 580ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 594ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 596ms

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 against its own average).

Aim5.7
Utility1.8
Positioning5.4
Opening Duels3.0

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 607ms 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

Aim5.7
Positioning5.4
Utility1.8
Mechanics4.6
Opening Duels3.6
Win Impact5.6

Composite 4.7/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time604ms+38ms
first ⅓ avg 566ms → last ⅓ avg 604ms
Headshot accuracy9.8%+0.3%
first ⅓ avg 9.5% → last ⅓ avg 9.8%

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

0.12Best match rating · 10–13 · ancient, 31 Oct →
29%Best headshot accuracy · 4–5 · cache, 14 Jun →
406msFastest reaction time · 2–13 · vertigo, 16 Jul →
13–0Biggest win · vertigo, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–8In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 57% over 14overpassWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
officeC2911–1838%-0.02
cacheB2613–1350%-0.01
vertigoD165–1131%-0.01
anubisA148–657%-0.03
italyD62–433%-0.02
overpassD50–50%-0.06
train—33–0100%-0.00
ancient—10–10%0.12

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,004Lifetime kills
0.93K/D
3,229Matches
43.4%Match win rate · Top 50% of Level 3 players
24.1%Headshot %
10.3%Shot accuracy
6,954MVPs
1,049Hours (in match)
1,742Bombs planted
426Bombs defused

Most-used weapons

P9011,385
Negev4,544
AK-473,396
AWP3,318
SCAR-202,319
XM10142,299
G3SG11,865

Lifetime map wins

5,423dust2
4,060vertigo
3,064inferno
1,655office
1,024cbble
828nuke
708train
137italy

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

Faceit stats

Combat

56Matches
43%Win rate
0.94Avg K/D
—ADR
22%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.7014.0
Inferno20%0.8417.5
Ancient1100%0.759.0

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.

9.9%Headshot accuracy
28.2%Accuracy (enemy spotted)
59.9%Spray accuracy
70.8%Counter-strafing
10.0°Preaim
607msReaction time
44.3%T opening success
44.7%CT opening success
0.20Enemies flashed / flash
5.2%Flash assists
7.11HE damage / grenade
3.36Flashes / 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 9.8668% — 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 0.2029 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
italy7–13-0.028%10 Nov →
vertigo12–12-0.0410%10 Nov →
cache10–13-0.0013%10 Nov →
office11–13-0.0611%4 Nov →
office13–11-0.077%4 Nov →
vertigo9–13-0.033%2 Nov →
cache13–8-0.0516%2 Nov →
vertigo13–00.037%1 Nov →
anubis13–90.036%1 Nov →
cache8–00.056%1 Nov →
anubis13–60.0024%31 Oct →
italy13–9-0.0911%31 Oct →
ancient10–130.124%31 Oct →
italy13–110.066%31 Oct →
cache13–30.0313%30 Oct →
office10–13-0.0410%28 Oct →
cache10–130.053%27 Oct →
vertigo9–13-0.0511%26 Oct →
cache13–50.0511%25 Oct →
cache13–30.0513%25 Oct →
anubis7–13-0.0613%15 Oct →
office5–130.0113%15 Oct →
cache13–70.0314%15 Oct →
office6–13-0.093%12 Oct →
cache2–13-0.0610%12 Oct →
cache11–130.028%11 Oct →
train13–80.0110%11 Oct →
vertigo11–13-0.0314%10 Oct →
cache13–7-0.0010%8 Oct →
train13–5-0.029%8 Oct →
office10–13-0.0211%30 Sept →
office10–13-0.037%26 Sept →
office11–13-0.017%24 Sept →
vertigo12–120.0510%24 Sept →
vertigo4–13-0.0118%24 Sept →
anubis4–13-0.090%22 Sept →
office8–13-0.037%22 Sept →
anubis3–13-0.096%22 Sept →
office3–13-0.063%18 Sept →
anubis13–40.054%18 Sept →
office11–130.059%14 Sept →
italy12–12-0.0113%14 Sept →
cache13–9-0.0310%10 Sept →
cache12–120.0513%9 Sept →
anubis3–13-0.078%9 Sept →
overpass10–13-0.0310%9 Sept →
vertigo13–110.018%8 Sept →
cache13–50.0212%8 Sept →
cache1–13-0.050%7 Sept →
cache6–13-0.0210%6 Sept →
italy12–12-0.017%6 Sept →
office13–8-0.0210%6 Sept →
cache5–12-0.016%6 Sept →
cache12–12-0.0411%5 Sept →
office13–3-0.0521%5 Sept →
anubis13–10-0.0015%4 Sept →
office9–13-0.0214%3 Sept →
cache13–30.067%3 Sept →
vertigo13–11-0.0210%2 Sept →
office8–13-0.043%2 Sept →
anubis13–4-0.025%1 Sept →
anubis13–5-0.0811%28 Aug →
cache13–80.0015%26 Aug →
overpass6–9-0.016%26 Aug →
office6–13-0.0310%26 Aug →
italy3–13-0.034%25 Aug →
vertigo13–8-0.0218%24 Aug →
anubis11–13-0.035%16 Aug →
vertigo13–10.109%16 Aug →
office13–110.018%16 Aug →
vertigo11–13-0.063%5 Aug →
anubis12–12-0.038%5 Aug →
overpass4–9-0.146%27 Jul →
anubis13–9-0.0110%27 Jul →
vertigo3–13-0.0310%17 Jul →
office13–80.0513%16 Jul →
vertigo2–13-0.078%16 Jul →
overpass6–9-0.0710%6 Jul →
office13–80.0119%6 Jul →
cache7–13-0.129%2 Jul →
cache2–13-0.085%2 Jul →
office13–90.008%28 Jun →
cache6–13-0.0913%28 Jun →
office4–130.058%27 Jun →
train13–7-0.0110%19 Jun →
overpass7–9-0.0810%14 Jun →
cache4–5-0.0729%14 Jun →
office13–10-0.0311%10 Jun →
cache13–5-0.019%10 Jun →
office10–13-0.0815%9 Jun →
vertigo7–13-0.074%9 Jun →
office13–40.007%29 May →
anubis13–9-0.057%29 May →
office13–7-0.0216%26 May →
office10–13-0.015%21 May →
office13–9-0.066%20 May →
office9–13-0.0211%17 May →
vertigo12–120.007%6 May →
cache12–12-0.013%4 May →
office7–130.0212%4 May →

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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