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ratfr — CS2 Stats

76561198989260425[U:1:1028994697]

234Tracked matches25%Win rate2023Tracked since
321Hours in CS0Hrs last 2 wks
CSDB Rating2.3 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.2%42.5%44.2%meets
Shot accuracy5.5%10.9%11.2%5.7% short
Kill/death ratio0.700.991.040.34 short
Match win rate30.9%44.2%45.3%14.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGratfrFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim20
Positioning25
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY29–64–7Last 10029%Win rateWLTLWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim2.0
Aggression0.9
Utility3.4
Positioning2.5
Opening Duels0.0

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 61% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 783ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0
Positioning2.5
Utility3.4
Mechanics4.4
Opening Duels0.0
Win Impact0.0

Composite 2.3/10 (Learning), 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 rating-0.07+0.00
first ⅓ avg -0.07 → last ⅓ avg -0.07
Reaction time784ms−17ms
first ⅓ avg 801ms → last ⅓ avg 784ms
Headshot accuracy15.5%+2.3%
first ⅓ avg 13.2% → last ⅓ avg 15.5%

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

0.02Best rating — mirage 13–9
13–2Biggest win — nuke
3Longest win streak
4–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 35% over 17nukeWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
infernoD205–1525%-0.07
dust2D196–1332%-0.07
mirageC176–1135%-0.05
nukeD142–1214%-0.07
anubisD113–827%-0.06
ancientD51–420%-0.07
cache—41–325%-0.05
overpass—43–175%-0.06
vertigo—32–167%-0.07
train—20–20%-0.08
mills—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,024Lifetime kills
0.70K/D
564Matches
30.9%Match win rate
44.2%Headshot % · Top 50% of Level 4 players
5.5%Shot accuracy
550MVPs
177Hours (in match)
508Bombs planted
62Bombs defused

Most-used weapons

AK-471,591
AWP1,210
M4A4 / M4A1-S1,193
Glock-18398
P2000 / USP-S387
Desert Eagle351
SSG 08261
Galil AR215
XM1014169
Tec-9160

Lifetime map wins

963dust2
737inferno
426nuke
171vertigo
88train
45lake
27cbble
7office

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

Faceit stats

Combat

2Matches
0%Win rate
0.38Avg K/D
—ADR
28%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

15.4%Headshot accuracy
26.3%Accuracy (enemy spotted)
26.3%Spray accuracy
69.7%Counter-strafing
10.1°Preaim
783msReaction time
19.2%T opening success
20.9%CT opening success
0.44Enemies flashed / flash
1.8%Flash assists
6.92HE damage / grenade
4.13Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 782.9476ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.4364 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 19.2144% — below the 40% mark we flag

Spend your practice time on Nuke

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

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.119%3 Jun →
cache4–13-0.058%3 Jun →
mirage15–15-0.029%3 Jun →
mirage9–13-0.0327%29 May →
anubis13–7-0.0718%29 May →
inferno3–13-0.0128%29 May →
mirage13–90.0214%24 May →
nuke5–13-0.100%23 May →
inferno10–13-0.1015%23 May →
dust213–11-0.0426%22 May →
cache13–7-0.0423%20 May →
inferno7–13-0.0715%20 May →
ancient13–8-0.0713%19 May →
mirage9–13-0.0721%15 May →
inferno3–13-0.100%15 May →
ancient7–13-0.0713%10 May →
mirage11–13-0.0731%9 May →
nuke6–13-0.0822%7 May →
mirage2–13-0.0611%7 May →
overpass9–1-0.0415%4 May →
nuke3–13-0.0811%2 May →
nuke7–13-0.104%2 May →
cache12–12-0.083%2 May →
anubis7–13-0.0920%1 May →
cache9–13-0.0423%1 May →
inferno9–13-0.0828%28 Apr →
train4–13-0.095%28 Apr →
dust23–13-0.1112%28 Apr →
ancient9–13-0.0512%28 Apr →
dust24–13-0.1118%26 Apr →
vertigo8–3-0.0419%26 Apr →
mirage13–3-0.0315%25 Apr →
inferno12–12-0.1227%22 Apr →
train7–13-0.0717%22 Apr →
inferno5–13-0.0717%26 Sept →
nuke5–13-0.1226%25 Sept →
mirage6–13-0.074%25 Sept →
mills9–13-0.0616%30 Jul →
dust22–13-0.0919%7 May →
ancient11–13-0.099%6 May →
nuke5–13-0.0418%28 Apr →
anubis0–13-0.047%21 Apr →
nuke5–13-0.0716%18 Apr →
mirage7–13-0.019%13 Apr →
inferno8–13-0.0913%7 Apr →
anubis13–7-0.069%7 Apr →
dust24–13-0.0715%6 Apr →
nuke13–2-0.030%5 Apr →
dust213–6-0.027%4 Apr →
anubis11–13-0.0821%4 Apr →
mirage5–13-0.0418%3 Apr →
inferno7–13-0.0314%3 Apr →
ancient10–13-0.0715%1 Apr →
anubis7–13-0.0514%30 Mar →
overpass13–11-0.096%30 Mar →
mirage13–4-0.0711%29 Mar →
overpass5–1-0.0422%29 Mar →
anubis7–13-0.105%29 Mar →
inferno13–11-0.0415%29 Mar →
dust27–8-0.039%21 Mar →
nuke13–10-0.0229%12 Mar →
dust23–13-0.0712%10 Mar →
anubis10–13-0.0310%1 Mar →
nuke2–13-0.1017%27 Feb →
nuke9–13-0.0913%26 Feb →
inferno9–13-0.0513%26 Feb →
anubis13–3-0.0213%26 Feb →
dust212–12-0.0816%26 Feb →
nuke5–13-0.100%26 Feb →
mirage4–13-0.0821%14 Feb →
anubis11–13-0.0518%13 Feb →
inferno7–13-0.1019%13 Feb →
inferno3–13-0.0612%10 Feb →
dust213–2-0.0414%20 Jan →
mirage12–120.0010%19 Jan →
dust24–13-0.113%19 Jan →
mirage13–7-0.0318%19 Jan →
inferno13–10-0.029%19 Jan →
nuke12–12-0.0523%18 Jan →
vertigo13–9-0.0831%18 Jan →
dust213–6-0.118%18 Jan →
mirage3–13-0.0913%7 Jan →
overpass10–13-0.0611%31 Dec →
mirage13–7-0.1114%31 Dec →
mirage13–7-0.0217%30 Dec →
nuke8–13-0.076%29 Dec →
vertigo3–13-0.1018%29 Dec →
dust212–12-0.0310%26 Dec →
inferno13–10-0.0616%21 Dec →
inferno14–16-0.137%21 Dec →
anubis4–13-0.109%21 Dec →
dust213–11-0.0817%18 Dec →
inferno6–13-0.0712%16 Dec →
dust211–13-0.0419%3 Dec →
dust20–8-0.058%3 Dec →
dust24–13-0.106%29 Nov →
inferno4–13-0.1120%29 Nov →
dust25–13-0.126%29 Nov →
dust213–10-0.0510%27 Nov →
inferno13–7-0.0117%27 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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