One Nutter — CS2 Stats

76561198264072040[U:1:303806312]

766Tracked matches70%Win rate2020Tracked since
CSDB Rating5.9 SolidAggressive Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGOne NutterFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning47
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY56404Last 10056%Win rateLLWWWWLLWW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression7.5
Utility1.3
Positioning4.7
Opening Duels2.9
Clutch2.2

Strong CT-side openerLimited utility dependence

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 82% playstyle similarity

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

Where you differ: lower aim profile; lower 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

Areas to improve

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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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
Positioning4.7
Utility1.3
Mechanics7.8
Opening Duels2.9
Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time614ms−39ms
first ⅓ avg 652ms → last ⅓ avg 614ms
Headshot accuracy28.8%+6.6%
first ⅓ avg 22.2% → last ⅓ avg 28.8%

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

0.14Best rating — cache 13–2
132Biggest win — ancient
7Longest win streak
L2Current streak
37In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 74% over 19infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS1914574%0.02
ancientA159660%0.01
dust2C146843%0.01
infernoC125742%0.01
overpassC125742%0.02
cacheS107370%0.03
anubisS107370%0.03
nukeB63350%0.00
palacio1010%-0.04
train1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

621Matches
52%Win rate
1.14Avg K/D
82.7ADR
45%Headshot %

Clutches & streaks

31%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6656%1.1116.6
Inferno4461%1.1418.2
Anubis4243%1.0216.5
Ancient2962%1.0617.8
Train1346%1.2916.3
Dust21118%0.8414.6
Nuke850%1.1017.6
Overpass250%1.1024.0

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.

29.3%Headshot accuracy
31.3%Accuracy (enemy spotted)
28.8%Spray accuracy
85.2%Counter-strafing
9.0°Preaim
618msReaction time
29.9%T opening success
53.2%CT opening success
0.13Enemies flashed / flash
4.2%Flash assists
9.44HE damage / grenade
2.28Flashes / 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 0.1301 — 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 29.9323% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0029%25 Aug
mirage11–13-0.0623%22 Aug
cache13–40.0530%16 Aug
ancient13–9-0.0521%14 Aug
anubis13–4-0.0223%14 Aug
anubis13–80.0540%14 Aug
mirage6–13-0.0322%10 Aug
cache0–13-0.0921%10 Aug
cache13–80.0744%12 Jul
mirage13–30.0742%12 Jul
dust213–30.0738%12 Jul
dust22–7-0.0550%12 Jul
mirage10–130.0535%10 Jul
anubis13–50.0232%10 Jul
ancient13–11-0.0132%10 Jul
cache13–10-0.0127%9 Jul
anubis16–130.0216%9 Jul
dust213–8-0.0424%3 Jul
mirage13–60.0325%26 Jun
nuke13–50.0429%26 Jun
inferno8–13-0.0232%26 Jun
mirage13–80.0142%26 Jun
anubis13–40.0934%26 Jun
dust216–13-0.0224%26 Jun
ancient9–13-0.0127%21 May
anubis6–13-0.0218%18 May
ancient13–80.0723%15 May
overpass13–30.1125%15 May
mirage13–100.0241%15 May
ancient13–20.0429%15 May
overpass13–80.0120%15 May
anubis14–160.0416%14 May
mirage13–10-0.0418%14 May
ancient0–13-0.1026%14 May
overpass7–130.0430%13 May
inferno13–7-0.0117%13 May
inferno9–13-0.0313%11 May
mirage13–90.0526%10 May
ancient13–9-0.0128%10 May
mirage13–100.0225%10 May
cache13–20.1433%10 May
dust25–130.0519%10 May
dust27–13-0.0514%10 May
dust211–13-0.0233%6 May
dust213–110.0221%6 May
anubis11–130.0227%5 May
cache10–130.0225%5 May
anubis13–90.0325%2 May
mirage13–90.0421%2 May
inferno13–60.0117%2 May
cache13–100.1026%2 May
mirage3–13-0.0022%2 May
cache13–90.0713%2 May
inferno10–13-0.0026%1 May
dust27–120.0418%1 May
mirage13–30.0324%1 May
anubis13–40.0429%1 May
mirage13–40.0941%1 May
cache13–5-0.0123%1 May
dust212–12-0.0227%1 May
cache10–13-0.0132%1 May
inferno2–130.0214%10 Nov
inferno7–13-0.0417%17 Oct
palacio6–13-0.0422%17 Oct
ancient7–130.019%17 Oct
mirage13–70.0116%17 Oct
inferno12–120.1235%16 Oct
overpass7–13-0.0114%12 Oct
overpass16–130.0414%12 Oct
ancient13–9-0.0220%12 Oct
mirage13–40.0819%12 Oct
dust213–30.1419%11 Oct
overpass7–130.0827%11 Oct
inferno13–4-0.0334%11 Oct
overpass11–13-0.0613%10 Oct
mirage13–100.0221%10 Oct
ancient13–90.1017%10 Oct
overpass13–40.0432%10 Oct
nuke13–60.0326%10 Oct
ancient13–110.0522%10 Oct
dust213–50.0721%10 Oct
ancient15–150.0219%8 Oct
nuke11–130.0220%7 Oct
mirage13–90.0724%7 Oct
ancient13–50.0543%7 Oct
dust29–130.0137%3 Oct
train15–150.0428%3 Oct
overpass6–130.0122%1 Oct
inferno6–13-0.049%30 Sept
dust24–13-0.0215%30 Sept
nuke13–9-0.0313%29 Sept
overpass11–130.0020%29 Sept
inferno13–100.0728%29 Sept
ancient8–130.0128%28 Sept
overpass10–13-0.0314%28 Sept
nuke1–13-0.1117%27 Sept
inferno13–70.0226%27 Sept
ancient8–13-0.0210%25 Sept
overpass13–4-0.0232%25 Sept
nuke6–130.0630%25 Sept

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 →