frnkly

frnkly — CS2 Stats

VA76561198163557242[U:1:203291514]Steam profile ↗✓ No bans

708Tracked matches41%Win rate2021Tracked since
3,087Hours in CS3Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating5,015Light Blue band · top ~78.7% of ranked players (population est.)
FaceitLevel 5 · 1,105 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 5,015 -3,705 5 Jul – 4 Nov · 21 days played
4,8839,582peak 9,5825 Jul4 Nov
9,582Peak Premier in tracked matches
1,105Highest Faceit ELO seen on CSDB
50Days played since 2026-07-05

Faceit ELO

  • At peak — 1,105
  • Next: Level 6 at 1,201 — 96 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-10-04
  • Level 4 first seen 2026-10-04

Premier CS Rating

  • 4,567 below peak (9,582)
  • -3,199 over 30 days · declining
  • -4,567 over 90 days
  • Next: Blue band at 10,000 — 4,985 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-10-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate45.0%43.8%44.8%meets
Shot accuracy11.1%12.0%12.4%1.3% short
Kill/death ratio0.851.021.030.19 short
Match win rate39.4%44.7%45.2%5.8% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGfrnklyFACEITLevel 5 · 1,105 ELOSTANDINGTop 67.6% of rankedPREMIER5,015 · Light Blue bandPEAK ELO1,105csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning71
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateLWLWLWWWWL

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating · −2.4pp headshot accuracy · +81ms reaction

Win rate up 50pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 552ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 512ms

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 (+1.4 against its own average).

Aim7.6
Utility5.7
Positioning7.1
Opening Duels4.4
Clutch5.4

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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 551ms 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

Aim7.6
Positioning7.1
Utility5.7
Mechanics7.3
Opening Duels7.3
Win Impact2.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time535ms−80ms
first ⅓ avg 615ms → last ⅓ avg 535ms
Headshot accuracy24.2%+4.3%
first ⅓ avg 19.9% → last ⅓ avg 24.2%

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

0.21Best match rating · 9–6 · inferno, 24 Oct →
52%Best headshot accuracy · 8–13 · mirage, 31 Jul →
352msFastest reaction time · 13–10 · inferno, 3 Oct →
13–1Biggest win · dust2, 28 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 43% over 21infernoWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
infernoD289–1932%-0.00
mirageC219–1243%-0.02
dust2C219–1243%-0.00
cacheC73–443%-0.02
ancientC52–340%0.02
nuke—41–325%-0.03
train—31–233%0.01
vertigo—33–0100%-0.00
anubis—31–233%-0.03
debris—21–150%-0.10
overpass—22–0100%0.09
italy—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,247Lifetime kills
0.85K/D
4,096Matches
39.4%Match win rate
45.0%Headshot % · Top 50% of Level 5 players
11.1%Shot accuracy
9,637MVPs
1,589Hours (in match)
3,360Bombs planted
697Bombs defused

Most-used weapons

AK-4720,190
AWP18,613
Knife1,548
P2501,344
FAMAS1,098
SSG 081,054

Lifetime map wins

8,831dust2
5,650inferno
997nuke
504train
417vertigo
220cbble
141office
70lake

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

Faceit stats

Combat

201Matches
54%Win rate
1.15Avg K/D
81.3ADR
54%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5855%1.2516.3
Dust23653%1.0515.9
Inferno2564%1.2716.8
Anubis2060%1.4017.9
Ancient1735%0.7914.2
Nuke1155%1.0515.1
Overpass580%1.2216.6
Train250%1.2215.5

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.

24.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
28.8%Spray accuracy
82.7%Counter-strafing
8.3°Preaim
551msReaction time
61.2%T opening success
56.9%CT opening success
0.69Enemies flashed / flash
6.3%Flash assists
8.43HE damage / grenade
8.21Flashes / match

Recommended for you

Spend your practice time on Inferno

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0728%4 Nov →
inferno9–70.1526%4 Nov →
inferno2–9-0.1025%24 Oct →
inferno9–60.2124%24 Oct →
dust23–130.0123%20 Oct →
ancient13–70.0910%20 Oct →
train8–00.0625%17 Oct →
mirage13–60.0647%17 Oct →
inferno13–50.0115%16 Oct →
inferno7–130.0323%15 Oct →
mirage4–130.0133%14 Oct →
cache7–13-0.0136%12 Oct →
mirage6–13-0.0123%11 Oct →
mirage14–160.0330%11 Oct →
dust25–13-0.0228%11 Oct →
dust22–130.0425%11 Oct →
inferno8–130.0022%11 Oct →
inferno8–13-0.0222%8 Oct →
debris9–5-0.0727%6 Oct →
debris4–9-0.1325%6 Oct →
cache10–13-0.0515%6 Oct →
dust213–100.0320%5 Oct →
overpass9–70.0317%4 Oct →
nuke10–13-0.0710%3 Oct →
inferno13–10-0.0421%3 Oct →
dust28–130.0532%3 Oct →
overpass9–30.1519%3 Oct →
inferno9–50.1117%2 Oct →
inferno13–11-0.0136%27 Sept →
inferno4–9-0.1628%27 Sept →
inferno8–8-0.0526%27 Sept →
vertigo9–40.0119%27 Sept →
mirage13–7-0.0424%27 Sept →
mirage9–13-0.0530%24 Sept →
vertigo13–7-0.0322%24 Sept →
dust213–2-0.0721%21 Sept →
train12–120.0421%21 Sept →
inferno13–8-0.0917%21 Sept →
anubis4–13-0.1212%21 Sept →
nuke13–7-0.0026%17 Sept →
ancient8–130.0841%16 Sept →
cache15–150.0219%15 Sept →
mirage13–4-0.0041%12 Sept →
inferno7–130.1229%11 Sept →
dust213–20.0441%11 Sept →
mirage10–130.0531%10 Sept →
dust213–110.0223%6 Sept →
mirage13–100.0026%6 Sept →
ancient13–50.0612%6 Sept →
nuke8–13-0.0228%30 Aug →
dust29–13-0.0625%30 Aug →
anubis10–13-0.0329%30 Aug →
inferno13–50.0323%29 Aug →
vertigo13–50.0216%28 Aug →
mirage13–5-0.0530%25 Aug →
inferno8–13-0.0321%18 Aug →
dust24–13-0.0826%17 Aug →
mirage4–13-0.049%14 Aug →
inferno12–160.0348%14 Aug →
inferno11–13-0.0721%10 Aug →
nuke8–13-0.0526%10 Aug →
mirage6–13-0.0122%7 Aug →
ancient1–13-0.0720%7 Aug →
dust213–110.0117%2 Aug →
mirage8–13-0.0952%31 Jul →
anubis13–40.0529%30 Jul →
dust211–130.0225%30 Jul →
inferno7–130.0017%30 Jul →
dust213–10.0717%28 Jul →
mirage13–6-0.0719%28 Jul →
inferno5–130.0012%22 Jul →
dust28–130.0029%22 Jul →
inferno7–13-0.0834%18 Jul →
mirage13–60.0225%18 Jul →
inferno8–8-0.0118%18 Jul →
dust24–130.0137%16 Jul →
ancient6–13-0.0428%16 Jul →
mirage2–130.0238%16 Jul →
dust211–13-0.0318%16 Jul →
inferno5–13-0.0227%15 Jul →
cache13–7-0.026%15 Jul →
train6–13-0.0722%15 Jul →
dust213–40.1028%15 Jul →
inferno5–13-0.0134%13 Jul →
dust29–130.0144%13 Jul →
mirage13–90.0230%13 Jul →
cache9–2-0.046%11 Jul →
cache5–13-0.108%10 Jul →
cache13–110.0416%9 Jul →
mirage13–5-0.039%8 Jul →
dust29–13-0.0737%8 Jul →
inferno12–12-0.1110%8 Jul →
dust28–0-0.090%7 Jul →
inferno12–12-0.0115%7 Jul →
mirage5–13-0.0418%7 Jul →
mirage5–13-0.0516%6 Jul →
inferno10–13-0.0313%6 Jul →
italy11–13-0.080%6 Jul →
inferno13–70.0319%6 Jul →
dust213–2-0.028%5 Jul →

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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