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frake — CS2 Stats

76561199126607198[U:1:1166341470]✓ No bans

300Tracked matches14%Win rate2023Tracked since
279Hours in CS
CSDB Rating1.8 Learning
Ladder ranks via Leetify

Performance scores

Aim13
Positioning23
Utility27

0–100 skill scores via Leetify.

Recent form

COLD26–70–4Last 10026%Win rateLLLLWLLLLL

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

Player DNA

Aim1.3
Aggression0.0
Utility2.7
Positioning2.3
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 52% 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. 759ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim1.3
Positioning2.3
Utility2.7
Mechanics3.6
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (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 -0.06 → last ⅓ avg -0.07
Reaction time758ms−20ms
first ⅓ avg 777ms → last ⅓ avg 758ms
Headshot accuracy8.9%−2.3%
first ⅓ avg 11.2% → last ⅓ avg 8.9%

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

0.05Best rating — nuke 13–6
13–1Biggest win — inferno
4Longest win streak
L4Current streak

Map breakdown

nukeBest map · 30% over 27infernoWeakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
nukeD278–1930%-0.06
infernoD204–1620%-0.06
dust2D184–1422%-0.07
mirageD144–1029%-0.06
cache—30–30%-0.08
office—31–233%-0.07
vertigo—20–20%-0.12
grail—20–20%-0.07
ancient—21–150%-0.05
anubis—22–0100%-0.04
thera—21–150%-0.05
warden—10–10%-0.08
train—10–10%-0.11
agency—11–0100%-0.06
mills—10–10%-0.08
assembly—10–10%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

7,868Lifetime kills
0.57K/D
877Matches
31.4%Match win rate
32.5%Headshot %
0.0%Shot accuracy
632MVPs
279Hours (in match)
466Bombs planted
67Bombs defused

Most-used weapons

M4A4 / M4A1-S1,266
AK-471,109
AWP530
XM1014501
MP7457
Galil AR453
SG 553405
Negev392
AUG319
Desert Eagle317

Lifetime map wins

1,182inferno
1,109dust2
1,055nuke
306vertigo
135office
57train
52italy
8ar_baggage

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

Skill profile

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

8.1%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.3%Spray accuracy
66.4%Counter-strafing
14.0°Preaim
759msReaction time
12.6%T opening success
9.0%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
6.09HE damage / grenade
3.80Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.951° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.1141% — below the 15% mark we flag

    Aim Training →
  3. 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 759.3446ms — above the 700ms mark we flag

    Aim Training →
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.

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke0–13-0.0712%7 Jun →
mirage9–13-0.055%6 Jun →
inferno1–13-0.0719%31 May →
nuke5–11-0.083%24 May →
nuke13–2-0.019%24 May →
vertigo0–6-0.130%23 May →
cache5–13-0.068%23 May →
inferno1–13-0.105%23 May →
warden7–13-0.080%23 May →
cache3–13-0.1014%22 May →
nuke12–12-0.0111%22 May →
office1–13-0.075%22 May →
nuke3–12-0.070%16 May →
mirage6–13-0.017%16 May →
mirage7–13-0.035%16 May →
mirage2–13-0.0722%15 May →
nuke5–13-0.130%8 May →
nuke2–13-0.060%8 May →
cache2–13-0.099%8 May →
inferno5–13-0.0723%4 May →
dust20–13-0.0625%22 Apr →
train2–13-0.110%22 Apr →
office6–13-0.109%22 Apr →
grail6–13-0.089%30 Aug →
grail3–13-0.057%29 Aug →
nuke1–9-0.0930%27 Aug →
inferno13–60.0315%27 Aug →
agency13–4-0.063%16 Jun →
ancient13–11-0.057%16 Jun →
inferno3–13-0.073%30 May →
mirage8–13-0.125%28 May →
ancient4–13-0.069%2 May →
nuke4–13-0.0513%1 Apr →
mirage7–13-0.0812%1 Apr →
nuke13–7-0.003%29 Mar →
mirage13–9-0.013%29 Mar →
nuke13–2-0.056%29 Mar →
mirage8–3-0.060%29 Mar →
mirage8–13-0.0818%29 Mar →
nuke7–13-0.014%27 Mar →
nuke1–13-0.0723%27 Mar →
inferno13–9-0.049%24 Mar →
dust213–3-0.057%24 Mar →
nuke13–10-0.028%24 Mar →
dust25–13-0.136%24 Mar →
nuke13–60.056%21 Mar →
dust22–13-0.055%21 Mar →
dust28–13-0.0814%21 Mar →
inferno8–130.039%21 Mar →
nuke12–12-0.108%20 Mar →
inferno6–13-0.047%18 Mar →
inferno2–13-0.109%18 Mar →
dust213–9-0.099%18 Mar →
nuke6–13-0.0513%18 Mar →
nuke4–13-0.0611%14 Mar →
dust210–13-0.0313%14 Mar →
vertigo9–13-0.105%14 Mar →
dust211–13-0.0420%13 Mar →
dust23–13-0.047%13 Mar →
nuke13–6-0.040%13 Mar →
office13–8-0.0213%11 Mar →
mirage13–6-0.059%10 Mar →
nuke3–13-0.169%10 Mar →
dust24–13-0.093%9 Mar →
inferno2–13-0.120%9 Mar →
inferno2–9-0.236%9 Mar →
inferno4–13-0.066%9 Mar →
dust213–10-0.019%9 Mar →
inferno8–13-0.0318%9 Mar →
inferno6–13-0.0912%6 Mar →
inferno3–11-0.080%3 Mar →
inferno6–13-0.053%3 Mar →
anubis13–8-0.0414%3 Mar →
mirage8–13-0.088%3 Mar →
inferno3–130.0013%3 Mar →
nuke4–9-0.0612%3 Mar →
anubis13–10-0.0413%3 Mar →
mirage5–13-0.075%3 Mar →
dust210–13-0.110%31 Dec →
inferno13–1-0.0232%30 Dec →
dust28–13-0.138%9 Nov →
nuke13–7-0.1020%9 Nov →
dust26–13-0.105%9 Nov →
inferno3–13-0.0612%9 Nov →
dust213–10-0.0513%9 Nov →
mirage12–12-0.079%9 Nov →
inferno13–8-0.0124%8 Nov →
nuke5–13-0.120%20 Sept →
mills2–13-0.0811%6 Jul →
dust27–13-0.0727%6 Jul →
dust25–13-0.0612%3 Jul →
thera13–9-0.073%3 Jul →
mirage13–10-0.1115%3 Jul →
nuke6–13-0.1011%3 Jul →
nuke13–60.0214%30 Jun →
assembly6–9-0.047%27 Jun →
dust22–13-0.0912%26 Jun →
thera11–13-0.0315%26 Jun →
nuke12–12-0.114%26 Jun →
nuke6–13-0.0611%26 Jun →

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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