frang — CS2 Stats

76561198202580180[U:1:242314452]

2,046Tracked matches60%Win rate2020Tracked since
6,227Hours in CS
CSDB Rating6.8 SolidHybrid Rifler
Premier CS Rating23,752Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#2029 of 8493 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate52.7%52.8%meets
Shot accuracy20.5%13.7%above
Kill/death ratio1.011.080.07 short
Match win rate48.8%49.2%meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGfrangFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,752 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning52
Utility64

0–100 skill scores via Leetify.

Recent form

HOT62362Last 10062%Win rateWWLWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression5.8
Utility6.4
Positioning5.2
Opening Duels1.9
Clutch4.8

Sharp aimer

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 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 580ms 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

Aim8.5
Positioning5.2
Utility6.4
Mechanics7.6
Opening Duels1.9
Win Impact8.3

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time559ms−34ms
first ⅓ avg 593ms → last ⅓ avg 559ms
Headshot accuracy22.2%−3.3%
first ⅓ avg 25.5% → last ⅓ avg 22.2%

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.

Highlights

0.15Best rating — nuke 4–0
131Biggest win — cache
6Longest win streak
W2Current streak
84In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 78% over 9infernoWeakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
dust2A31191261%-0.00
ancientA2012860%-0.00
infernoB20101050%-0.00
nukeS1612475%0.02
cacheS97278%0.03
anubis42250%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

229,059Lifetime kills
1.01K/D
6,902Matches
48.8%Match win rate · Top 50% of Pink band
52.7%Headshot % · Top 50% of Pink band
20.5%Shot accuracy · Top 5% of Pink band
25,370MVPs
6,227Hours (in match)
4,477Bombs planted
2,566Bombs defused

Most-used weapons

AK-47111,877
AWP17,554
FAMAS1,953
Knife1,244
AUG1,190

Lifetime map wins

25,036inferno
13,779dust2
5,045nuke
3,152train
1,995vertigo
282cbble
115office
60lake

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

Faceit stats

Combat

500Matches
56%Win rate
1.25Avg K/D
72.9ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
9%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1331%1.1914.3
Ancient1040%0.8812.7
Nuke967%1.1315.8
Dust2757%0.9112.3
Anubis650%1.1215.5
Cache4100%1.6015.3
Vertigo425%0.9715.0
Mirage20%0.9313.0

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.

23.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
41.7%Spray accuracy
84.0%Counter-strafing
8.0°Preaim
580msReaction time
35.9%T opening success
39.7%CT opening success
0.66Enemies flashed / flash
10.9%Flash assists
9.31HE damage / grenade
8.34Flashes / 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 35.8888% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–100.0524%3 Aug
ancient13–6-0.0038%3 Aug
dust213–16-0.0117%2 Aug
dust213–70.0237%30 Jul
cache13–10.0626%30 Jul
ancient13–9-0.0231%30 Jul
nuke16–120.0719%29 Jul
ancient13–100.0312%29 Jul
dust21–4-0.150%29 Jul
inferno6–130.0429%24 Jul
nuke13–30.0534%24 Jul
ancient14–160.0316%21 Jul
dust213–7-0.0219%21 Jul
cache0–13-0.030%21 Jul
dust213–11-0.0332%20 Jul
cache13–30.0121%20 Jul
dust21–13-0.080%20 Jul
inferno13–16-0.0120%20 Jul
cache6–130.0312%17 Jul
dust213–90.0028%17 Jul
inferno13–6-0.0222%17 Jul
dust22–13-0.0361%16 Jul
nuke13–11-0.0125%16 Jul
cache13–5-0.027%16 Jul
inferno11–13-0.0228%15 Jul
nuke13–80.0130%15 Jul
dust24–13-0.0517%14 Jul
cache13–60.0930%14 Jul
dust213–110.0028%14 Jul
inferno1–13-0.0231%14 Jul
cache13–10.0828%14 Jul
inferno3–1-0.080%14 Jul
ancient13–11-0.0112%13 Jul
cache13–9-0.0120%13 Jul
nuke0–13-0.058%13 Jul
dust213–90.0025%12 Jul
dust213–60.0518%12 Jul
ancient15–15-0.0214%12 Jul
dust213–60.0141%5 Jul
inferno9–13-0.0517%5 Jul
inferno1–13-0.0430%1 Jul
dust210–13-0.0923%1 Jul
ancient13–60.0726%1 Jul
inferno8–13-0.0424%1 Jul
anubis6–13-0.0540%30 Jun
dust213–160.0227%30 Jun
dust213–10.1235%30 Jun
nuke13–8-0.0129%29 Jun
dust213–11-0.0024%29 Jun
ancient15–150.0324%29 Jun
inferno13–40.0924%29 Jun
ancient13–20.0119%29 Jun
dust213–7-0.0119%25 Jun
dust214–16-0.0440%25 Jun
inferno13–60.0229%25 Jun
nuke13–90.0030%24 Jun
nuke13–40.0913%24 Jun
dust213–16-0.0130%24 Jun
ancient13–5-0.0213%24 Jun
nuke9–13-0.0118%22 Jun
inferno13–5-0.0428%22 Jun
dust213–30.0226%22 Jun
ancient11–13-0.0129%22 Jun
ancient13–90.0228%17 Jun
dust213–80.0333%17 Jun
dust216–14-0.0033%16 Jun
inferno13–50.0419%10 Jun
nuke13–40.0123%10 Jun
dust213–100.0530%10 Jun
ancient8–13-0.0028%2 Jun
nuke3–13-0.069%1 Jun
anubis4–13-0.0022%1 Jun
dust28–13-0.0522%1 Jun
anubis13–6-0.0120%28 Jan
nuke13–60.0425%28 Jan
dust213–50.0420%28 Jan
ancient13–7-0.0228%28 Jan
inferno13–90.0429%28 Jan
inferno9–13-0.0418%26 Jan
ancient16–13-0.0112%26 Jan
anubis13–110.0244%22 Jan
nuke16–130.0416%22 Jan
inferno13–70.0219%22 Jan
dust213–60.0322%22 Jan
inferno7–13-0.0326%14 Jan
inferno8–13-0.0233%14 Jan
nuke10–13-0.0223%14 Jan
nuke4–00.1556%21 Dec
ancient13–6-0.0227%21 Dec
dust210–13-0.0019%18 Dec
ancient2–130.0433%18 Dec
ancient13–7-0.0517%18 Dec
dust27–130.0527%15 Dec
ancient7–13-0.0438%15 Dec
nuke13–50.0920%14 Dec
dust213–20.0843%14 Dec
inferno13–100.0819%14 Dec
ancient10–13-0.0420%11 Dec
dust213–60.0124%11 Dec
inferno13–70.0526%11 Dec

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 →