Fragkill

Fragkill — CS2 Stats

US76561198803730212[U:1:843464484]Steam profile ↗✓ No bans

509Tracked matches41%Win rate2022Tracked since
543Hours in CS
CSDB Rating3.4 Learning
Premier CS Rating3,241Grey band · top ~86.3% of ranked players (population est.)
CSDB Leaderboard#38432 of 49435 tracked
Ladder ranks via Leetify

Rating over time

3,241Peak Premier on CSDB
1Days observed since 2026-08-30

Premier CS Rating

  • At peak — 3,241
  • Next: Light Blue band at 5,000 1,759 to go

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate41.3%37.5%39.7%above
Shot accuracy4.5%4.5%6.7%2.1% short
Kill/death ratio0.700.820.910.20 short
Match win rate34.6%39.1%42.1%7.5% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGFragkillPREMIER3,241 · Grey bandcsdb.gg/stats

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Performance scores

Aim36
Positioning47
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY37603Last 10037%Win rateWWLWLLLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim3.6
Aggression5.4
Utility4.8
Positioning4.7
Opening Duels1.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 667ms 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

Aim3.6
Positioning4.7
Utility4.8
Mechanics4.9
Opening Duels1.3
Win Impact2.1

Composite 3.4/10 (Learning), 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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time673ms−30ms
first ⅓ avg 703ms → last ⅓ avg 673ms
Headshot accuracy11.1%+1.7%
first ⅓ avg 9.3% → last ⅓ avg 11.1%

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.

Highlights

0.15Best rating — dust2 13–5
132Biggest win — dust2
3Longest win streak
W2Current streak
53In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 56% over 16infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D2791833%-0.02
nukeA169756%0.01
mirageD1551033%-0.01
ancientC135838%-0.02
infernoD113827%-0.05
anubisC83538%-0.01
cache31233%-0.01
train2020%0.04
office21150%0.03
overpass21150%-0.02
poseidon1010%-0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,765Lifetime kills
0.70K/D
1,429Matches
34.6%Match win rate
41.3%Headshot % · Top 50% of Grey band
4.5%Shot accuracy
1,458MVPs
543Hours (in match)
812Bombs planted
223Bombs defused

Most-used weapons

Lifetime map wins

2,518dust2
1,711inferno
1,162nuke
462vertigo
201office
123train
8cbble
5italy

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

Faceit stats

Combat

28Matches
39%Win rate
0.74Avg K/D
61.6ADR
36%Headshot %

Clutches & streaks

8%1v1 clutch win
11%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1250%0.8011.3
Dust2838%0.6911.3
Inferno367%0.9311.3
Ancient20%0.468.5
Anubis10%0.7014.0
Nuke10%0.6911.0
Train10%0.5811.0

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.

11.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.9%Spray accuracy
72.1%Counter-strafing
10.7°Preaim
667msReaction time
27.9%T opening success
40.3%CT opening success
0.52Enemies flashed / flash
6.8%Flash assists
4.80HE damage / grenade
7.23Flashes / 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 11.2393% — below the 15% mark we flag

    Aim Training
  2. 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 27.8947% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–30.096%29 Aug
mirage13–100.0214%29 Aug
nuke1–130.0113%28 Aug
ancient13–5-0.0010%28 Aug
dust26–130.0213%28 Aug
dust26–130.1015%27 Aug
dust28–130.0214%27 Aug
dust21–13-0.0916%27 Aug
anubis13–110.049%27 Aug
mirage13–7-0.015%27 Aug
mirage5–13-0.0810%26 Aug
mirage6–13-0.068%25 Aug
nuke10–13-0.0412%24 Aug
ancient13–80.0510%21 Aug
dust213–40.0813%18 Aug
mirage15–150.0314%18 Aug
dust213–30.025%18 Aug
dust213–11-0.0415%18 Aug
dust23–13-0.0314%18 Aug
inferno9–13-0.0211%18 Aug
anubis0–13-0.0515%18 Aug
inferno13–70.019%18 Aug
mirage4–130.007%16 Aug
dust29–130.0721%16 Aug
poseidon3–9-0.159%16 Aug
nuke4–130.027%16 Aug
train11–130.0113%15 Aug
cache13–60.047%15 Aug
dust213–20.057%15 Aug
cache4–13-0.058%15 Aug
dust24–100.0111%15 Aug
mirage13–90.016%15 Aug
train8–130.0717%13 Aug
nuke13–100.0713%12 Aug
mirage4–13-0.0217%12 Aug
dust213–7-0.0315%12 Aug
dust213–50.1512%12 Aug
inferno8–130.0115%10 Aug
ancient16–14-0.016%9 Aug
ancient13–90.0910%9 Aug
inferno8–13-0.0111%9 Aug
mirage13–16-0.028%9 Aug
nuke13–100.029%9 Aug
dust211–13-0.0313%9 Aug
inferno2–9-0.145%8 Aug
inferno1–9-0.160%8 Aug
dust26–13-0.0517%8 Aug
dust28–13-0.0319%8 Aug
mirage11–13-0.0013%8 Aug
nuke3–130.006%8 Aug
ancient0–13-0.0519%8 Aug
nuke6–13-0.0512%6 Aug
dust213–9-0.0210%6 Aug
ancient9–13-0.0510%6 Aug
nuke13–8-0.1013%5 Aug
ancient8–13-0.0813%5 Aug
nuke9–13-0.0611%5 Aug
mirage13–10-0.097%5 Aug
anubis9–13-0.046%5 Aug
inferno16–14-0.0411%5 Aug
nuke13–60.017%5 Aug
dust215–15-0.0416%5 Aug
inferno13–30.018%5 Aug
dust213–10-0.0913%2 Aug
mirage16–13-0.066%2 Aug
inferno2–13-0.0813%23 Jul
dust210–13-0.0911%23 Jul
anubis7–13-0.104%20 Jul
nuke13–90.0216%20 Jul
inferno2–13-0.0716%19 Jul
mirage4–13-0.0510%15 Jul
dust213–9-0.035%14 Jul
dust26–13-0.036%14 Jul
cache6–13-0.026%13 Jul
nuke5–130.0112%13 Jul
anubis13–10-0.073%13 Jul
mirage15–150.1011%12 Jul
mirage9–130.048%11 Jul
ancient9–13-0.057%11 Jul
office8–130.0311%11 Jul
dust28–13-0.0621%9 Jul
office13–90.049%8 Jul
inferno6–13-0.087%1 Jul
dust28–13-0.072%30 Jun
dust25–13-0.066%14 May
anubis4–130.0812%13 May
ancient3–13-0.0414%12 May
anubis2–130.0311%11 May
ancient6–30.006%11 May
overpass13–60.016%10 May
dust25–13-0.0722%8 May
nuke13–11-0.013%7 May
overpass8–13-0.056%7 May
dust25–13-0.0810%5 May
anubis13–70.017%5 May
nuke13–80.128%4 May
ancient12–16-0.0115%4 May
nuke13–8-0.0112%4 May
ancient10–13-0.058%3 May
ancient7–13-0.078%2 May

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 →