Frag GMBH

Frag GMBH — CS2 Stats

DE76561198886534602[U:1:926268874]Steam profile ↗✓ No bans

666Tracked matches41%Win rate2021Tracked since
700Hours in CS
CSDB Rating5.0 DevelopingClutch Specialist
FaceitLevel 3 · 889 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate50.2%42.1%42.5%above
Shot accuracy18.7%12.1%10.9%above
Kill/death ratio0.950.990.990.05 short
Match win rate44.4%43.9%44.2%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFrag GMBHFACEITLevel 3 · 889 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY474211Last 10047%Win rateLLWLTWWLWL

Last 10 vs previous 10: -10pp win rate · -0.05 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.9
Aggression7.7
Utility4.5
Positioning5.4
Opening Duels2.9
Clutch10.0

Reliable in 1v1s

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 635ms 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

Aim6.9
Positioning5.4
Utility4.5
Mechanics7.9
Opening Duels2.9
Win Impact2.1

Composite 5.0/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time586ms−49ms
first ⅓ avg 634ms → last ⅓ avg 586ms
Headshot accuracy14.0%−3.5%
first ⅓ avg 17.6% → last ⅓ avg 14.0%

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

0.14Best rating — vertigo 9–5
131Biggest win — mirage
7Longest win streak
L2Current streak
85In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 64% over 22infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
vertigoA2214864%0.01
mirageB21111052%0.01
dust2B168850%-0.02
infernoD1651131%-0.05
ancient43175%-0.00
anubis41325%0.01
debris3030%-0.06
poseidon3030%0.00
overpass330100%0.04
nuke3030%-0.07
alpine21150%0.02
office2020%-0.02
eldorado110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,597Lifetime kills
0.95K/D
2,745Matches
44.4%Match win rate · Top 50% of Level 3 players
50.2%Headshot % · Top 25% of Level 3 players
18.7%Shot accuracy · Top 10% of Level 3 players
10,091MVPs
700Hours (in match)
2,826Bombs planted
711Bombs defused

Most-used weapons

AK-4711,108
AWP2,819
MP91,807
FAMAS1,092
MAC-101,034

Lifetime map wins

8,423vertigo
2,792inferno
1,073dust2
724nuke
317lake
298cbble
193train
132office

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

Faceit stats

Combat

199Matches
50%Win rate
1.09Avg K/D
67.6ADR
43%Headshot %

Clutches & streaks

75%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.8013.2
Dust22100%1.0416.5
Ancient10%1.0715.0
Inferno1100%1.3615.0
Nuke10%0.5910.0

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.

15.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
42.6%Spray accuracy
85.7%Counter-strafing
10.4°Preaim
635msReaction time
39.2%T opening success
44.2%CT opening success
0.44Enemies flashed / flash
7.2%Flash assists
9.28HE damage / grenade
8.24Flashes / 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. 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 0.4426 — below the 0.5 mark we flag

    Grenade Lineups
  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 39.1719% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage14–16-0.0424%2 Aug
vertigo6–9-0.1213%2 Aug
vertigo9–50.146%2 Aug
debris6–9-0.0317%26 Jul
debris8–8-0.035%26 Jul
ancient13–50.0212%26 Jul
eldorado9–7-0.019%25 Jul
debris3–9-0.138%25 Jul
dust213–4-0.0413%3 Jul
inferno4–9-0.1822%3 Jul
inferno6–9-0.1617%2 Jul
poseidon8–80.119%2 Jul
overpass9–50.1013%2 Jul
vertigo9–30.096%2 Jul
inferno9–60.078%2 Jul
inferno8–8-0.1228%2 Jul
alpine12–12-0.039%1 Jul
alpine13–20.0612%1 Jul
vertigo13–20.048%1 Jul
inferno5–9-0.1117%1 Jul
inferno8–8-0.0117%1 Jul
anubis6–130.056%30 Jun
office10–13-0.0315%16 Jun
office4–13-0.0012%15 Jun
anubis7–13-0.0212%23 Feb
dust22–13-0.1031%23 Feb
vertigo3–9-0.0131%23 Feb
mirage11–13-0.008%19 Feb
inferno8–8-0.1016%19 Feb
dust22–130.0317%19 Feb
dust27–13-0.0518%19 Feb
vertigo7–9-0.0522%19 Feb
nuke8–8-0.015%19 Feb
dust211–13-0.0719%18 Feb
dust213–100.0014%18 Feb
dust213–4-0.0218%18 Feb
mirage13–10.0419%18 Feb
poseidon6–90.0119%18 Feb
vertigo9–7-0.0422%18 Feb
ancient13–4-0.0313%15 Feb
mirage13–16-0.0610%13 Feb
mirage6–13-0.0329%13 Feb
dust216–120.0617%13 Feb
vertigo9–7-0.1211%12 Feb
vertigo9–70.0315%12 Feb
vertigo4–9-0.1236%12 Feb
vertigo9–10.1118%12 Feb
inferno6–9-0.0530%12 Feb
mirage13–90.0718%12 Feb
ancient9–13-0.0210%11 Feb
inferno4–13-0.0141%11 Feb
mirage5–13-0.0116%11 Feb
dust27–130.0115%11 Feb
anubis13–80.0119%11 Feb
mirage7–130.0315%11 Feb
inferno8–8-0.0213%11 Feb
dust216–120.0315%8 Feb
mirage13–60.0926%8 Feb
anubis5–130.0014%8 Feb
inferno9–6-0.0612%8 Feb
inferno9–50.0829%8 Feb
mirage13–4-0.0116%7 Feb
ancient13–50.0316%7 Feb
mirage13–110.0526%7 Feb
mirage13–4-0.0319%7 Feb
inferno13–10-0.0417%7 Feb
mirage9–130.0220%7 Feb
mirage3–13-0.0421%6 Feb
dust21–13-0.078%6 Feb
dust216–14-0.0311%6 Feb
mirage13–60.0917%6 Feb
mirage13–10-0.0115%6 Feb
nuke6–9-0.130%6 Feb
inferno4–9-0.0931%6 Feb
inferno9–30.0421%6 Feb
vertigo9–00.1113%6 Feb
poseidon6–9-0.1243%2 Feb
nuke8–8-0.0610%2 Feb
vertigo3–9-0.145%2 Feb
vertigo9–30.1118%2 Feb
mirage7–13-0.0710%2 Feb
inferno5–9-0.0543%2 Feb
vertigo7–9-0.0423%2 Feb
vertigo9–3-0.089%2 Feb
dust213–6-0.0124%2 Feb
dust215–15-0.0318%27 Jan
overpass13–110.033%27 Jan
dust28–13-0.0323%27 Jan
mirage13–30.0813%27 Jan
vertigo9–70.0124%26 Jan
vertigo4–90.0833%26 Jan
vertigo9–40.0922%26 Jan
vertigo8–80.0120%26 Jan
dust213–8-0.0229%23 Jan
mirage13–70.0611%23 Jan
overpass13–9-0.0110%23 Jan
vertigo13–40.060%23 Jan
vertigo9–20.054%23 Jan
mirage16–13-0.0122%23 Jan
mirage1–13-0.0427%23 Jan

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 →