Frandingo

Frandingo — CS2 Stats

GB76561198142441363[U:1:182175635]Steam profile ↗✓ No bans

561Tracked matches46%Win rate2021Tracked since
1,221Hours in CS25Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating14,228Blue band · top ~32.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 days ago). 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: 14,228 +3,233 24 Sept – 28 Oct · 14 days played
10,99514,228peak 14,22824 Sept28 Oct
14,228Peak Premier in tracked matches
24Days played since 2026-09-18

Premier CS Rating

  • At peak — 14,228
  • +3,233 over 30 days · improving
  • Next: Purple band at 15,000 — 772 to go
  • Reached: Blue band · Light Blue band

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 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 rate42.3%42.0%44.4%2.1% short
Shot accuracy12.3%9.6%11.9%above
Kill/death ratio1.140.981.03above
Match win rate44.8%43.8%45.2%meets

This profile matches the typical Purple band player on 3 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.GGFrandingoPREMIER14,228 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning56
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateTLWWLLLLWW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +1.1pp headshot accuracy · +18ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 680ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 633ms

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 (+1.9 against its own average).

Aim7.3
Utility6.5
Positioning5.6
Opening Duels1.8

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

iM

Plays most like iM 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.3
Positioning5.6
Utility6.5
Mechanics7.1
Opening Duels2.8
Win Impact3.8

Composite 5.7/10 (Solid), 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 rating0.01−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time626ms+26ms
first ⅓ avg 600ms → last ⅓ avg 626ms
Headshot accuracy15.8%−0.4%
first ⅓ avg 16.2% → last ⅓ avg 15.8%

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

0.24Best match rating · 13–0 · anubis, 4 Oct →
36%Best headshot accuracy · 13–0 · ancient, 4 Oct →
445msFastest reaction time · 5–13 · office, 21 Oct →
13–0Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 75% over 8vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%0.00
cacheB147–750%0.03
mirageC146–843%0.04
ancientB115–645%0.03
nukeS118–373%0.03
anubisC104–640%0.08
infernoS86–275%0.04
vertigoD62–433%0.04
fachwerk—32–167%0.05
train—20–20%0.04
office—10–10%-0.01
italy—11–0100%0.17
boulder—10–10%0.08
shelter—11–0100%0.05

Across the last 100 tracked matches.

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

Lifetime stats

25,751Lifetime kills
1.14K/D · Top 25% of Blue band
1,428Matches
44.8%Match win rate · Top 50% of Blue band
42.3%Headshot % · Top 50% of Blue band
12.3%Shot accuracy · Top 50% of Blue band
2,888MVPs
540Hours (in match)
1,526Bombs planted
312Bombs defused

Most-used weapons

Lifetime map wins

1,989dust2
1,110office
842inferno
653nuke
251train
164vertigo
41italy
20cbble

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.

16.2%Headshot accuracy
39.5%Accuracy (enemy spotted)
36.8%Spray accuracy
82.0%Counter-strafing
9.8°Preaim
620msReaction time
33.3%T opening success
49.0%CT opening success
0.63Enemies flashed / flash
5.6%Flash assists
10.15HE damage / grenade
10.67Flashes / 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 33.2777% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
train12–120.0129%4 Nov →
cache5–13-0.0317%4 Nov →
dust213–10-0.0312%4 Nov →
dust213–7-0.038%4 Nov →
dust26–13-0.009%3 Nov →
ancient8–130.0419%28 Oct →
dust23–13-0.0424%28 Oct →
mirage7–130.0521%28 Oct →
dust213–4-0.0421%28 Oct →
nuke13–2-0.0218%28 Oct →
dust213–11-0.0620%27 Oct →
nuke13–80.0325%27 Oct →
fachwerk13–90.0920%27 Oct →
nuke13–50.0720%25 Oct →
nuke13–90.0223%25 Oct →
mirage15–150.0211%22 Oct →
ancient6–130.0111%22 Oct →
mirage13–50.1613%22 Oct →
fachwerk5–13-0.0013%21 Oct →
nuke9–13-0.0112%21 Oct →
ancient9–13-0.0315%21 Oct →
office5–13-0.0111%21 Oct →
vertigo4–13-0.064%21 Oct →
italy13–20.1721%21 Oct →
boulder7–130.0810%21 Oct →
dust213–60.0716%21 Oct →
cache6–13-0.0412%20 Oct →
anubis10–13-0.0218%20 Oct →
dust213–80.0113%20 Oct →
inferno5–130.0417%20 Oct →
nuke2–13-0.0312%20 Oct →
dust27–13-0.0014%20 Oct →
mirage6–13-0.0212%20 Oct →
dust213–90.0514%19 Oct →
shelter13–10.0518%19 Oct →
vertigo13–90.1117%19 Oct →
cache4–130.0524%19 Oct →
mirage1–13-0.069%18 Oct →
ancient10–130.0511%18 Oct →
dust213–70.0322%18 Oct →
fachwerk13–70.0629%16 Oct →
cache12–120.0611%15 Oct →
inferno13–11-0.0313%15 Oct →
dust213–70.0211%13 Oct →
inferno16–140.019%13 Oct →
nuke13–70.037%13 Oct →
cache13–00.1326%13 Oct →
mirage6–13-0.0219%13 Oct →
ancient7–130.058%13 Oct →
ancient13–30.0920%11 Oct →
anubis8–130.1211%11 Oct →
nuke13–100.068%11 Oct →
mirage13–100.0512%11 Oct →
anubis5–130.0113%10 Oct →
nuke10–00.1111%10 Oct →
mirage13–70.0718%10 Oct →
ancient10–130.0413%10 Oct →
mirage8–13-0.0317%10 Oct →
cache13–80.069%10 Oct →
ancient13–20.0426%10 Oct →
ancient12–0-0.0429%10 Oct →
mirage11–130.1021%9 Oct →
cache8–130.1018%9 Oct →
dust29–130.0518%9 Oct →
anubis13–110.1212%9 Oct →
inferno16–120.0623%5 Oct →
mirage13–40.0313%4 Oct →
anubis13–00.2413%4 Oct →
ancient10–30.025%4 Oct →
vertigo10–20.1924%4 Oct →
inferno13–110.1016%4 Oct →
train6–130.0614%4 Oct →
dust28–130.0413%4 Oct →
cache13–70.0613%4 Oct →
anubis11–130.0512%4 Oct →
ancient13–00.0436%4 Oct →
mirage7–130.0317%4 Oct →
inferno13–110.0919%2 Oct →
cache6–13-0.048%2 Oct →
nuke13–60.0122%2 Oct →
cache13–8-0.0212%2 Oct →
cache10–00.1623%2 Oct →
anubis16–140.0220%2 Oct →
anubis4–13-0.0511%2 Oct →
nuke12–120.0618%24 Sept →
cache13–100.0220%24 Sept →
anubis12–120.0317%24 Sept →
vertigo5–13-0.0417%24 Sept →
mirage16–140.0121%24 Sept →
inferno13–100.0416%23 Sept →
mirage13–20.1916%23 Sept →
vertigo12–120.0519%23 Sept →
dust212–120.0211%22 Sept →
cache4–13-0.1124%22 Sept →
dust27–130.047%22 Sept →
inferno8–13-0.0014%19 Sept →
vertigo6–13-0.029%18 Sept →
cache13–90.0312%18 Sept →
dust23–13-0.0922%18 Sept →
anubis13–10.2412%18 Sept →

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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