Persephone

Persephone — CS2 Stats

FR76561199741214922[U:1:1780949194]Steam profile ↗✓ No bans

241Tracked matches52%Win rate2025Tracked since
2,555Hours in CS15Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

Performance scores

Aim51
Positioning57
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateWLWLWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +4.6pp headshot accuracy · −36ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 510ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 502ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 520ms

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 (+2.2 against its own average).

Aim5.1
Utility1.7
Positioning5.7
Opening Duels3.2

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

jL

Plays most like jL 81% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

CT openings. Opening success drops from 59% on T to 44% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 60% 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

Aim5.1
Positioning5.7
Utility1.7
Mechanics2.1
Opening Duels5.4
Win Impact5.6

Composite 4.3/10 (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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time534ms−97ms
first ⅓ avg 631ms → last ⅓ avg 534ms
Headshot accuracy15.1%+0.4%
first ⅓ avg 14.7% → last ⅓ avg 15.1%

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

0.16Best match rating · 13–3 · mirage, 25 Oct →
35%Best headshot accuracy · 2–13 · mirage, 13 Jun →
344msFastest reaction time · 9–13 · office, 30 Oct →
13–0Biggest win · nuke, 18 May →

Across the last 100 tracked matches.

Highlights

10Longest win streak
3–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%0.00
dust2B2413–1154%0.01
infernoB137–654%-0.00
nukeA106–460%-0.03
anubisS86–275%0.01
vertigoS64–267%0.02
ancientD62–433%-0.03
office—42–250%0.01
cache—21–150%0.01
overpass—22–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,549Lifetime kills
1.23K/D · Top 25% of tracked players
5,890Matches
52.9%Match win rate · Top 10% of tracked players
37.9%Headshot %
0.0%Shot accuracy
7,921MVPs
1,564Hours (in match)
1,529Bombs planted
351Bombs defused

Most-used weapons

SG 55313,306
AK-476,108
AUG5,392
AWP4,358
Tec-93,710
MP91,248

Lifetime map wins

6,193vertigo
3,684dust2
3,597nuke
2,715inferno
1,881office
1,591train
1,276italy
39lake

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.

15.5%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.6%Spray accuracy
59.5%Counter-strafing
10.4°Preaim
536msReaction time
59.5%T opening success
44.1%CT opening success
0.22Enemies flashed / flash
3.6%Flash assists
9.21HE damage / grenade
2.12Flashes / 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 0.217 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–40.0913%31 Oct →
mirage9–13-0.0523%30 Oct →
nuke13–6-0.0110%30 Oct →
dust27–13-0.0317%30 Oct →
cache13–90.0525%30 Oct →
anubis2–13-0.0422%30 Oct →
office9–13-0.0519%30 Oct →
inferno1–13-0.0522%30 Oct →
mirage13–70.0121%29 Oct →
dust213–40.0912%29 Oct →
anubis13–70.0711%26 Oct →
dust28–130.0312%26 Oct →
anubis12–160.0111%26 Oct →
mirage4–130.0116%25 Oct →
mirage13–30.1616%25 Oct →
inferno13–90.0312%25 Oct →
dust26–130.0225%25 Oct →
mirage5–13-0.0921%22 Oct →
inferno12–120.0315%20 Oct →
mirage4–00.010%20 Oct →
dust213–90.0214%20 Oct →
vertigo13–40.0214%18 Oct →
dust29–130.0218%18 Oct →
inferno6–130.0114%18 Oct →
mirage12–12-0.0115%17 Oct →
dust213–40.027%17 Oct →
dust29–130.0317%10 Oct →
vertigo12–12-0.057%25 Sept →
dust213–9-0.0414%23 Sept →
dust213–60.0214%14 Sept →
mirage13–100.0720%13 Sept →
nuke7–13-0.0612%3 Sept →
mirage9–13-0.0111%3 Sept →
dust29–0-0.0230%3 Sept →
anubis10–30.1213%3 Sept →
ancient8–13-0.0710%3 Sept →
inferno13–5-0.0025%3 Sept →
overpass13–60.0116%2 Sept →
inferno13–3-0.0215%2 Sept →
nuke13–4-0.0216%2 Sept →
dust213–40.0115%2 Sept →
anubis13–7-0.0314%2 Sept →
mirage13–9-0.0212%2 Sept →
inferno13–110.048%31 Aug →
dust213–60.0910%31 Aug →
nuke13–7-0.0516%24 Aug →
mirage8–130.0013%24 Aug →
inferno12–12-0.0316%24 Aug →
dust213–8-0.049%22 Aug →
cache9–13-0.0315%18 Aug →
nuke13–6-0.0216%18 Aug →
mirage11–30.0211%18 Aug →
dust210–130.0119%12 Aug →
mirage10–00.030%12 Aug →
office13–90.0612%12 Aug →
anubis13–40.019%10 Aug →
overpass13–10-0.018%10 Aug →
mirage12–20.107%13 Jul →
ancient2–13-0.086%13 Jul →
ancient7–13-0.0111%6 Jul →
dust210–13-0.0510%5 Jul →
ancient13–6-0.007%21 Jun →
mirage2–13-0.0435%13 Jun →
dust213–60.0016%12 Jun →
mirage13–2-0.030%12 Jun →
inferno13–100.048%12 Jun →
vertigo7–13-0.0316%9 Jun →
dust213–6-0.026%9 Jun →
vertigo13–70.0710%9 Jun →
mirage12–12-0.008%9 Jun →
vertigo13–30.1215%5 Jun →
nuke11–13-0.0314%31 May →
mirage2–13-0.052%27 May →
mirage9–13-0.0421%27 May →
anubis13–7-0.079%26 May →
inferno13–3-0.0117%26 May →
mirage8–13-0.047%25 May →
nuke3–13-0.025%25 May →
office1–13-0.0531%19 May →
nuke13–0-0.0112%18 May →
nuke13–11-0.0216%17 May →
inferno11–13-0.069%17 May →
dust29–13-0.0210%16 May →
dust213–40.1615%15 May →
inferno13–100.0016%15 May →
mirage9–130.026%15 May →
vertigo13–10.0119%14 May →
nuke11–13-0.0414%14 May →
dust211–130.0621%14 May →
mirage13–30.0324%14 May →
dust213–8-0.0320%14 May →
ancient13–40.018%14 May →
anubis13–20.0035%14 May →
ancient5–130.0022%14 May →
dust212–12-0.0420%13 May →
mirage13–110.0221%13 May →
mirage2–13-0.022%8 May →
inferno4–13-0.0414%8 May →
mirage5–13-0.0113%7 May →
dust26–13-0.0519%28 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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