Soulrise

Soulrise — CS2 Stats

LU76561198195919543[U:1:235653815]Steam profile ↗✓ No bans

1,127Tracked matches54%Win rate2020Tracked since
5,551Hours in CS24Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating17,214Purple band · top ~19.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 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: 17,214 -2,785 31 Jul – 30 Oct · 36 days played
15,48519,999peak 19,99931 Jul30 Oct
19,999Peak Premier in tracked matches
46Days played since 2026-07-31

Premier CS Rating

  • 2,785 below peak (19,999)
  • +495 over 30 days · improving
  • -2,785 over 90 days
  • Next: Pink band at 20,000 — 2,786 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.9%44.4%46.9%10.0% short
Shot accuracy13.2%11.9%13.0%meets
Kill/death ratio0.931.031.080.15 short
Match win rate42.0%45.2%46.7%4.6% short

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

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

Share this profile

CSDB.GGSoulrisePREMIER17,214 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning49
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWWLLTTWTW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.0pp headshot accuracy · −20ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 556ms

Last 10

  • 5–2–3 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 544ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 554ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim5.0
Utility5.2
Positioning4.9
Opening Duels1.7
Clutch0.0

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

NiKo

Plays most like NiKo 77% 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

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning4.9
Utility5.2
Mechanics3.5
Opening Duels3.2
Win Impact6.3

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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time572ms−33ms
first ⅓ avg 604ms → last ⅓ avg 572ms
Headshot accuracy14.2%−3.3%
first ⅓ avg 17.5% → last ⅓ avg 14.2%

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

0.15Best match rating · 13–3 · nuke, 12 Aug →
33%Best headshot accuracy · 13–9 · anubis, 2 Oct →
422msFastest reaction time · 13–11 · office, 7 Sept →
13–3Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 54% over 13mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC269–1735%-0.02
infernoC176–1135%-0.02
anubisB137–654%-0.04
dust2B136–746%-0.02
ancientD93–633%-0.01
mirageD71–614%-0.03
office—44–0100%0.01
nuke—33–0100%0.03
vertigo—31–233%-0.04
italy—22–0100%0.03
train—21–150%-0.04
rush_001—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,358Lifetime kills
0.93K/D
7,896Matches
42.0%Match win rate
36.9%Headshot %
13.2%Shot accuracy · Top 50% of Purple band
14,459MVPs
2,948Hours (in match)
4,260Bombs planted
1,600Bombs defused

Most-used weapons

AK-4726,976
AWP17,199
MP74,613
XM10144,429
P904,390
MAC-104,229

Lifetime map wins

21,306dust2
7,054inferno
3,111nuke
1,424cbble
1,301office
1,147vertigo
1,100train
662italy

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

Faceit stats

Combat

64Matches
42%Win rate
0.83Avg K/D
62.4ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.539.0
Cache10%0.9314.0

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.

15.1%Headshot accuracy
31.8%Accuracy (enemy spotted)
36.3%Spray accuracy
65.8%Counter-strafing
10.5°Preaim
570msReaction time
39.7%T opening success
46.0%CT opening success
0.54Enemies flashed / flash
1.9%Flash assists
6.88HE damage / grenade
11.28Flashes / 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 39.6711% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–90.0211%30 Oct →
office13–100.0625%30 Oct →
cache13–9-0.0220%27 Oct →
inferno3–13-0.0817%27 Oct →
ancient6–13-0.059%22 Oct →
cache12–12-0.0319%21 Oct →
cache12–120.0114%21 Oct →
inferno13–8-0.039%21 Oct →
cache15–15-0.0513%20 Oct →
rush_0018–5-0.0213%16 Oct →
cache13–110.0712%16 Oct →
cache9–13-0.0511%15 Oct →
cache16–13-0.009%15 Oct →
inferno6–13-0.0615%9 Oct →
anubis13–11-0.1021%9 Oct →
anubis14–160.0513%9 Oct →
mirage10–13-0.052%8 Oct →
nuke16–14-0.0114%8 Oct →
anubis6–13-0.079%8 Oct →
inferno13–5-0.0114%7 Oct →
cache7–13-0.086%6 Oct →
cache14–16-0.0528%6 Oct →
dust210–5-0.077%6 Oct →
inferno7–13-0.0113%6 Oct →
cache9–13-0.0314%2 Oct →
anubis13–9-0.0733%2 Oct →
dust213–110.0115%2 Oct →
anubis15–15-0.1219%1 Oct →
inferno16–14-0.0119%1 Oct →
inferno13–30.0513%25 Sept →
ancient8–13-0.0618%23 Sept →
vertigo4–13-0.098%23 Sept →
anubis13–7-0.038%22 Sept →
inferno6–13-0.0514%17 Sept →
cache9–13-0.1015%16 Sept →
dust213–4-0.0114%15 Sept →
cache13–60.0114%10 Sept →
anubis10–13-0.1313%8 Sept →
office13–11-0.0417%7 Sept →
inferno11–13-0.0029%6 Sept →
dust213–100.058%6 Sept →
office13–4-0.0521%5 Sept →
dust28–130.1119%29 Aug →
dust213–8-0.0222%29 Aug →
inferno10–130.0714%28 Aug →
cache13–70.1011%26 Aug →
inferno14–16-0.0315%25 Aug →
cache10–13-0.0527%25 Aug →
vertigo13–10-0.0021%23 Aug →
anubis13–110.0118%23 Aug →
cache4–13-0.0320%23 Aug →
italy13–100.0510%22 Aug →
cache3–13-0.0316%22 Aug →
office13–70.0714%22 Aug →
dust210–130.0313%22 Aug →
vertigo3–13-0.0122%22 Aug →
italy7–0-0.000%22 Aug →
dust29–13-0.0224%22 Aug →
ancient13–40.1314%22 Aug →
ancient11–130.0417%20 Aug →
anubis13–50.0328%19 Aug →
ancient13–70.018%19 Aug →
cache8–130.0122%19 Aug →
cache4–13-0.0833%19 Aug →
ancient11–13-0.0424%17 Aug →
mirage9–13-0.0315%13 Aug →
nuke13–9-0.0526%13 Aug →
cache13–60.0519%12 Aug →
nuke13–30.1511%12 Aug →
dust213–9-0.0821%12 Aug →
cache13–9-0.0022%12 Aug →
train13–7-0.015%12 Aug →
train1–13-0.079%12 Aug →
ancient5–13-0.0714%12 Aug →
cache9–13-0.0013%11 Aug →
cache7–13-0.0917%9 Aug →
ancient7–13-0.0316%8 Aug →
dust29–13-0.0219%8 Aug →
mirage7–13-0.0229%7 Aug →
anubis13–10-0.0426%7 Aug →
mirage13–8-0.0216%7 Aug →
ancient13–6-0.0611%6 Aug →
mirage8–13-0.0132%6 Aug →
anubis10–13-0.0411%6 Aug →
inferno1–13-0.1016%6 Aug →
cache9–13-0.0320%5 Aug →
cache13–100.0222%5 Aug →
cache13–9-0.0511%4 Aug →
dust28–13-0.0410%4 Aug →
inferno7–13-0.0714%4 Aug →
inferno13–60.0118%4 Aug →
mirage7–13-0.0915%3 Aug →
anubis8–13-0.0422%3 Aug →
inferno12–12-0.0517%2 Aug →
dust210–13-0.0713%2 Aug →
cache10–13-0.0026%1 Aug →
inferno11–130.0428%1 Aug →
dust25–13-0.0521%1 Aug →
inferno16–140.0011%31 Jul →
mirage15–150.0126%31 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.