Frank Skallebank

Frank Skallebank — CS2 Stats

76561199116472112[U:1:1156206384]Steam profile ↗✓ No bans

3,598Tracked matches53%Win rate2021Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating17,532Purple band · top ~18.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 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: 17,532 -2,468 10 Aug – 11 Oct · 14 days played
17,53220,531peak 20,53110 Aug11 Oct
20,837Peak Premier in tracked matches
34Days played since 2026-08-10

Premier CS Rating

  • 2,999 below peak (20,531)
  • Next: Pink band at 20,000 — 2,468 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

Share this profile

CSDB.GGFrank SkallebankFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER17,532 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning64
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLLLLLWWLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · −13ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 491ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 469ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 475ms

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).

Aim7.8
Utility5.3
Positioning6.4
Opening Duels3.7
Clutch3.8

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

NiKo

Plays most like NiKo 93% 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 →

CSDB Rating breakdown

Aim7.8
Positioning6.4
Utility5.3
Mechanics7.1
Opening Duels4.5
Win Impact6.1

Composite 6.5/10 (Solid), 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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time487ms−18ms
first ⅓ avg 505ms → last ⅓ avg 487ms
Headshot accuracy12.5%−2.1%
first ⅓ avg 14.6% → last ⅓ avg 12.5%

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 · 13–3 · anubis, 30 Sept →
37%Best headshot accuracy · 13–9 · mirage, 17 Aug →
367msFastest reaction time · 13–6 · nuke, 12 Aug →
13–2Biggest win · ancient, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 67% over 24cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS2416–867%-0.01
ancientA159–660%0.01
anubisC145–936%-0.01
nukeB136–746%-0.01
dust2A116–555%-0.02
cacheD103–730%-0.03
infernoC104–640%-0.02
vertigo—10–10%0.01
poseidon—11–0100%0.06
eldorado—10–10%-0.17

Across the last 100 tracked matches.

Faceit stats

Combat

1,143Matches
51%Win rate
1.03Avg K/D
74.2ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7739%0.9314.0
Ancient6863%1.0115.0
Anubis5847%0.9314.1
Dust25652%0.9512.7
Inferno5256%0.9313.9
Nuke4154%1.0914.9
Vertigo3951%0.9113.4
Train1182%1.3514.6

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.

12.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.4%Spray accuracy
81.8%Counter-strafing
8.9°Preaim
491msReaction time
41.0%T opening success
54.7%CT opening success
0.61Enemies flashed / flash
5.5%Flash assists
10.14HE damage / grenade
6.78Flashes / 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 12.127% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0412%11 Oct →
mirage11–13-0.046%7 Oct →
mirage14–16-0.0420%7 Oct →
ancient9–13-0.028%2 Oct →
mirage8–13-0.0921%1 Oct →
nuke11–130.0014%1 Oct →
mirage13–9-0.0314%30 Sept →
anubis13–30.1214%30 Sept →
ancient17–19-0.0010%29 Sept →
mirage13–50.049%29 Sept →
dust213–8-0.002%29 Sept →
ancient13–20.0512%29 Sept →
nuke13–11-0.0317%29 Sept →
anubis13–70.009%28 Sept →
mirage6–13-0.0315%28 Sept →
anubis7–13-0.045%28 Sept →
ancient13–40.0711%27 Sept →
mirage13–10-0.0117%27 Sept →
anubis4–130.0913%22 Sept →
cache13–70.0421%21 Sept →
anubis11–13-0.047%19 Sept →
mirage19–150.0115%19 Sept →
inferno8–130.0027%18 Sept →
anubis12–16-0.029%8 Sept →
anubis13–6-0.054%7 Sept →
inferno10–13-0.026%6 Sept →
mirage13–110.0013%6 Sept →
dust213–50.0219%6 Sept →
inferno11–13-0.017%6 Sept →
mirage13–110.016%5 Sept →
inferno10–13-0.0015%4 Sept →
dust26–13-0.0212%3 Sept →
nuke13–7-0.0023%3 Sept →
cache17–19-0.028%30 Aug →
anubis13–3-0.063%30 Aug →
nuke13–50.0616%29 Aug →
cache13–9-0.0312%29 Aug →
mirage13–11-0.019%29 Aug →
cache11–130.0318%29 Aug →
anubis4–130.0111%29 Aug →
inferno13–9-0.018%28 Aug →
nuke13–20.0235%28 Aug →
mirage13–8-0.0212%28 Aug →
ancient13–60.0216%28 Aug →
nuke8–13-0.0423%28 Aug →
mirage13–90.0014%27 Aug →
dust213–50.0517%27 Aug →
vertigo10–130.0114%27 Aug →
anubis10–13-0.0112%27 Aug →
ancient13–7-0.0110%25 Aug →
mirage9–13-0.0618%23 Aug →
ancient5–130.0210%22 Aug →
ancient13–30.069%21 Aug →
ancient6–13-0.0111%21 Aug →
mirage13–100.0514%21 Aug →
mirage4–13-0.0314%21 Aug →
dust24–13-0.0411%20 Aug →
mirage9–13-0.0010%20 Aug →
ancient13–40.0313%20 Aug →
inferno13–9-0.0112%20 Aug →
mirage13–60.0310%20 Aug →
dust213–8-0.0328%20 Aug →
dust29–13-0.0714%19 Aug →
mirage13–10-0.0910%19 Aug →
nuke5–13-0.066%19 Aug →
ancient13–70.038%19 Aug →
cache2–13-0.0514%19 Aug →
ancient15–15-0.0512%18 Aug →
inferno13–10-0.028%18 Aug →
cache4–13-0.0221%18 Aug →
anubis13–50.0013%18 Aug →
inferno13–70.0215%18 Aug →
nuke5–13-0.0518%17 Aug →
mirage13–90.0937%17 Aug →
ancient5–130.0121%17 Aug →
dust213–80.0013%17 Aug →
poseidon9–50.0616%17 Aug →
anubis7–13-0.068%17 Aug →
cache5–13-0.1211%17 Aug →
eldorado4–9-0.179%17 Aug →
inferno4–13-0.0714%17 Aug →
nuke13–10-0.0029%17 Aug →
mirage9–13-0.019%16 Aug →
cache10–13-0.1014%16 Aug →
nuke9–13-0.0419%12 Aug →
dust216–12-0.0113%12 Aug →
nuke10–13-0.0617%12 Aug →
inferno11–13-0.0410%12 Aug →
ancient13–3-0.027%12 Aug →
dust211–13-0.1016%12 Aug →
cache5–130.0121%12 Aug →
nuke13–60.008%12 Aug →
anubis6–13-0.0617%11 Aug →
mirage13–6-0.015%11 Aug →
dust27–13-0.0614%11 Aug →
nuke11–130.0423%11 Aug →
cache13–6-0.0217%11 Aug →
ancient13–100.038%11 Aug →
anubis4–13-0.0117%10 Aug →
mirage16–12-0.046%10 Aug →

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 →

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