not 50fps talent

not 50fps talent — CS2 Stats

76561198011382634[U:1:51116906]Steam profile ↗

206Tracked matches63%Win rate2020Tracked since
CSDB Rating7.8 StrongEntry Fragger
Premier CS Rating26,270Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#2496 of 33731 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGnot 50fps talentFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,270 · Red bandcsdb.gg/stats

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Performance scores

Aim88
Positioning76
Utility56

0–100 skill scores via Leetify.

Recent form

HOT60355Last 10060%Win rateWWLWLWLWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim8.8
Aggression10.0
Utility5.6
Positioning7.6
Opening Duels6.2

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8
Positioning7.6
Utility5.6
Mechanics6.1
Opening Duels6.2
Win Impact9.4

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time487ms−22ms
first ⅓ avg 510ms → last ⅓ avg 487ms
Headshot accuracy22.8%−1.1%
first ⅓ avg 23.9% → last ⅓ avg 22.8%

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

0.19Best rating — overpass 13–5
132Biggest win — dust2
7Longest win streak
W2Current streak
99In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 100% over 6ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
overpassS2014670%0.05
anubisC167944%0.01
nukeC146843%0.02
infernoA127558%0.01
ancientD72529%0.01
vertigoA74357%0.05
trainS660100%0.07
dust2S550100%0.03
cacheA53260%0.05
mirage32167%0.01
stronghold1010%-0.00
warden110100%0.03
alpine110100%0.02
palacio110100%-0.08
golden110100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.0%Headshot accuracy
37.2%Accuracy (enemy spotted)
40.7%Spray accuracy
77.4%Counter-strafing
8.1°Preaim
482msReaction time
51.4%T opening success
58.1%CT opening success
0.56Enemies flashed / flash
4.2%Flash assists
10.89HE damage / grenade
10.54Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass13–40.1016%5 Jul
inferno13–11-0.0222%5 Jul
ancient3–130.019%3 Jul
nuke13–11-0.0117%3 Jul
anubis10–130.0621%3 Jul
nuke13–100.0523%3 Jul
overpass7–13-0.0026%3 Jul
inferno16–130.0422%24 Jun
dust26–00.1025%24 Jun
nuke13–30.0218%23 Jun
dust213–100.0429%23 Jun
dust213–2-0.0224%14 Jun
inferno13–11-0.0318%14 Jun
overpass16–130.0421%13 Jun
overpass12–160.0619%17 May
ancient6–130.0330%16 May
cache13–30.0734%12 May
overpass13–16-0.0313%10 May
overpass13–90.0212%8 May
inferno13–70.0218%8 May
inferno8–130.0222%6 May
nuke11–130.0628%3 May
cache13–110.0629%3 May
anubis11–130.0122%2 May
cache13–50.1534%2 May
cache11–13-0.0510%30 Apr
cache11–13-0.0018%29 Apr
train13–50.1029%19 Apr
anubis13–20.1428%17 Apr
dust213–60.0040%17 Apr
anubis8–13-0.0838%17 Apr
nuke15–150.019%11 Apr
anubis13–50.0131%11 Apr
nuke13–50.0524%6 Apr
ancient11–130.0335%6 Apr
vertigo8–130.0528%2 Mar
overpass13–40.1526%2 Mar
anubis2–13-0.0714%2 Mar
anubis13–60.0018%24 Feb
nuke5–130.0225%24 Feb
anubis10–13-0.0014%20 Feb
overpass13–60.0324%20 Feb
nuke11–130.0122%20 Feb
overpass6–13-0.0116%15 Feb
ancient13–8-0.0218%15 Feb
inferno13–100.0432%11 Feb
mirage13–9-0.0119%11 Feb
inferno9–13-0.0315%3 Feb
nuke13–80.0418%31 Jan
nuke1–7-0.0033%31 Jan
anubis5–13-0.0426%31 Jan
inferno9–130.0227%31 Jan
anubis13–60.0824%30 Jan
overpass15–150.0419%30 Jan
ancient13–110.1121%29 Jan
overpass13–50.0618%29 Jan
inferno11–130.0129%29 Jan
stronghold12–12-0.0027%26 Jan
vertigo12–120.0926%26 Jan
train13–40.0539%24 Jan
vertigo13–50.0512%24 Jan
nuke13–50.0924%24 Jan
overpass13–50.1935%24 Jan
anubis13–50.0617%24 Jan
warden13–90.0317%24 Jan
alpine13–40.0219%24 Jan
inferno4–130.0125%22 Jan
vertigo6–130.0323%18 Jan
anubis13–50.0116%18 Jan
overpass13–110.0118%17 Jan
inferno13–60.0818%17 Jan
anubis3–130.0642%14 Jan
vertigo13–90.0236%14 Jan
overpass13–70.0523%14 Jan
palacio12–5-0.0816%11 Jan
anubis1–130.0340%11 Jan
overpass7–00.1221%11 Jan
train13–20.1143%11 Jan
overpass4–130.0315%11 Jan
anubis12–12-0.075%10 Jan
vertigo6–20.0413%10 Jan
golden13–60.1029%10 Jan
ancient5–13-0.0326%8 Jan
train13–100.0520%3 Jan
overpass13–30.1328%3 Jan
anubis13–90.0118%3 Jan
vertigo13–60.0841%3 Jan
train13–110.0519%3 Jan
ancient14–16-0.0414%28 Dec
nuke14–160.0427%28 Dec
nuke7–13-0.0120%19 Nov
overpass13–80.0321%15 Nov
dust213–110.0124%21 Sept
mirage13–80.0619%21 Sept
overpass9–60.0233%19 Sept
mirage9–13-0.0426%19 Sept
nuke6–13-0.0524%17 Sept
inferno13–8-0.0714%17 Sept
overpass16–14-0.0122%17 Sept
train13–100.0734%20 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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