frannyS

frannyS — CS2 Stats

76561198014503642[U:1:54237914]Steam profile ↗✓ No bans

264Tracked matches40%Win rate2026Tracked since
1,679Hours in CS37Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Premier CS Rating11,214Blue band · top ~48.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−532Premier CS Rating · 11,746 → 11,214

Rating over time

Premier CS Rating: 11,214 +2,313 25 Jul – 1 Oct · 24 days played
7,89513,534peak 13,53425 Jul1 Oct
13,534Peak Premier in tracked matches
24Days played since 2026-07-25

Premier CS Rating

  • 2,320 below peak (13,534)
  • -2,088 over 30 days · declining
  • Next: Purple band at 15,000 — 3,786 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches96——
Win rate42%——
K/D0.86——
Headshot %40%——

Measured 3 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate33.6%41.9%44.3%10.7% short
Shot accuracy16.0%9.6%11.9%above
Kill/death ratio0.970.981.030.06 short
Match win rate80.4%43.8%45.2%above

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

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

Share this profile

CSDB.GGfrannySPREMIER11,214 · Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning50
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLLLWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.9pp headshot accuracy · −41ms 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 -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 593ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

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 (+1.6 against its own average).

Aim4.3
Utility3.4
Positioning5.0
Opening Duels1.9

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, utility contribution.

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. 594ms 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

Aim4.3
Positioning5.0
Utility3.4
Mechanics6.4
Opening Duels1.6
Win Impact1.7

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time601ms+10ms
first ⅓ avg 591ms → last ⅓ avg 601ms
Headshot accuracy11.8%+0.2%
first ⅓ avg 11.7% → last ⅓ avg 11.8%

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

0.11Best match rating · 13–5 · nuke, 26 Aug →
24%Best headshot accuracy · 13–2 · cache, 28 Aug →
328msFastest reaction time · 13–6 · nuke, 11 Sept →
13–2Biggest win · nuke, 12 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 80% over 15ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%-0.04
cacheB2110–1148%-0.02
anubisC177–1041%-0.02
nukeS1512–380%0.01
infernoS97–278%-0.03
dust2C73–443%-0.02
ancientD62–433%-0.04

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

39,228Lifetime kills
0.97K/D
8,197Matches
80.4%Match win rate · Top 1% of Blue band
33.6%Headshot %
16.0%Shot accuracy · Top 25% of Blue band
3,457MVPs
883Hours (in match)
2,350Bombs planted
397Bombs defused

Most-used weapons

Lifetime map wins

9,404nuke
1,247dust2
764inferno
330train
284cbble
221office
155italy
119aztec

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.

12.1%Headshot accuracy
28.3%Accuracy (enemy spotted)
28.6%Spray accuracy
78.6%Counter-strafing
10.0°Preaim
594msReaction time
36.2%T opening success
36.4%CT opening success
0.43Enemies flashed / flash
6.4%Flash assists
8.67HE damage / grenade
1.61Flashes / 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 12.0592% — 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 0.4265 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.2041% — below the 40% mark we flag

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
inferno13–10-0.0416%1 Oct →
mirage4–13-0.099%1 Oct →
cache4–13-0.0916%1 Oct →
dust213–16-0.0115%30 Sept →
anubis13–8-0.0412%30 Sept →
nuke13–50.068%30 Sept →
ancient1–13-0.057%30 Sept →
dust28–13-0.0112%30 Sept →
anubis11–13-0.007%29 Sept →
cache13–7-0.056%29 Sept →
cache13–50.0615%28 Sept →
ancient13–11-0.0313%28 Sept →
mirage9–13-0.0717%28 Sept →
cache5–13-0.0223%28 Sept →
cache12–16-0.0412%27 Sept →
cache9–13-0.0212%24 Sept →
inferno8–13-0.0914%24 Sept →
dust22–13-0.0317%24 Sept →
dust213–8-0.0415%23 Sept →
mirage9–13-0.0810%21 Sept →
nuke13–60.026%21 Sept →
cache16–14-0.0118%21 Sept →
dust26–13-0.0515%20 Sept →
nuke16–14-0.047%20 Sept →
cache4–13-0.0515%20 Sept →
mirage13–9-0.0417%20 Sept →
ancient7–13-0.059%20 Sept →
cache8–13-0.038%16 Sept →
anubis13–6-0.033%16 Sept →
mirage2–13-0.108%13 Sept →
mirage4–13-0.079%13 Sept →
mirage8–13-0.0314%13 Sept →
nuke13–7-0.029%12 Sept →
mirage13–11-0.087%12 Sept →
inferno13–7-0.065%12 Sept →
cache13–70.015%12 Sept →
cache6–13-0.050%12 Sept →
nuke13–20.045%12 Sept →
nuke3–13-0.0212%12 Sept →
mirage13–9-0.0313%11 Sept →
mirage11–13-0.1022%11 Sept →
anubis13–7-0.019%11 Sept →
nuke13–6-0.0310%11 Sept →
anubis7–13-0.0416%11 Sept →
mirage16–13-0.0218%11 Sept →
mirage13–6-0.0012%7 Sept →
anubis8–13-0.0515%7 Sept →
cache13–70.0414%7 Sept →
mirage7–13-0.0714%7 Sept →
nuke4–13-0.0014%7 Sept →
ancient11–13-0.0419%7 Sept →
mirage10–13-0.0615%5 Sept →
anubis10–13-0.0211%5 Sept →
mirage15–150.037%4 Sept →
nuke4–13-0.0517%4 Sept →
cache13–110.0210%4 Sept →
anubis13–70.036%4 Sept →
nuke13–50.024%4 Sept →
anubis7–13-0.0515%3 Sept →
mirage13–40.033%3 Sept →
anubis9–13-0.0121%3 Sept →
nuke16–14-0.009%1 Sept →
cache13–30.0913%1 Sept →
anubis13–50.036%1 Sept →
nuke13–5-0.018%1 Sept →
inferno13–110.0317%1 Sept →
inferno8–13-0.0712%1 Sept →
mirage13–50.0123%1 Sept →
anubis10–13-0.0522%1 Sept →
dust216–140.0214%28 Aug →
mirage13–90.0518%28 Aug →
inferno13–5-0.0110%28 Aug →
cache5–13-0.1223%28 Aug →
dust213–11-0.0014%28 Aug →
inferno10–20.0313%28 Aug →
mirage13–5-0.023%28 Aug →
cache13–20.0524%28 Aug →
mirage15–150.0214%27 Aug →
inferno13–11-0.0110%27 Aug →
cache9–13-0.028%27 Aug →
anubis15–15-0.087%27 Aug →
nuke13–60.059%27 Aug →
cache11–13-0.0310%26 Aug →
mirage4–13-0.078%26 Aug →
anubis13–100.018%26 Aug →
ancient13–9-0.0511%26 Aug →
cache13–30.028%26 Aug →
nuke13–50.117%26 Aug →
mirage3–13-0.0711%26 Aug →
ancient7–13-0.035%29 Jul →
anubis8–130.0015%29 Jul →
mirage5–13-0.076%29 Jul →
mirage11–13-0.0415%29 Jul →
anubis9–13-0.037%29 Jul →
cache13–6-0.0111%26 Jul →
mirage8–13-0.0810%26 Jul →
inferno16–14-0.0311%26 Jul →
cache7–13-0.0715%25 Jul →
anubis13–10-0.054%25 Jul →
nuke13–4-0.039%25 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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