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Murder Your Memory — CS2 Stats

76561199171604596[U:1:1211338868]

91Tracked matches43%Win rate2026Tracked since
104Hours in CS32Hrs last 2 wks
CSDB Rating2.2 Learning
Ladder ranks via Leetify

Performance scores

Aim12
Positioning25
Utility34

0–100 skill scores via Leetify.

Recent form

COLD35–48–7Last 9039%Win rateLWLWLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim1.2
Aggression0.8
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 59% 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. 715ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim1.2
Positioning2.5
Utility3.4
Mechanics3.9
Opening Duels0.0
Win Impact2.6

Composite 2.2/10 (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-0.05+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time697ms−42ms
first ⅓ avg 739ms → last ⅓ avg 697ms
Headshot accuracy12.4%−4.8%
first ⅓ avg 17.2% → last ⅓ avg 12.4%

Rolling 5-match average across the last 90 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.06Best rating — ancient 13–3
13–0Biggest win — anubis
5Longest win streak
3–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 47% over 15infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC2710–1737%-0.06
dust2B209–1145%-0.05
cacheB157–847%-0.06
infernoD122–1017%-0.07
anubisC73–443%-0.03
nuke—42–250%-0.06
ancient—32–167%-0.04
vertigo—10–10%-0.12
office—10–10%-0.04

Across the last 90 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,200Lifetime kills
0.47K/D
163Matches
42.9%Match win rate
41.3%Headshot %
0.0%Shot accuracy
110MVPs
53Hours (in match)
99Bombs planted
10Bombs defused

Most-used weapons

AK-47210
M4A4 / M4A1-S203
MP7173
Desert Eagle93
P9067
AWP57
MAG-757
P2000 / USP-S46
XM101439
Nova37

Lifetime map wins

539dust2
139inferno
112nuke
11office
9vertigo
6italy

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.

12.7%Headshot accuracy
20.8%Accuracy (enemy spotted)
22.0%Spray accuracy
67.7%Counter-strafing
10.9°Preaim
715msReaction time
14.1%T opening success
27.5%CT opening success
0.58Enemies flashed / flash
8.0%Flash assists
2.32HE damage / grenade
7.07Flashes / 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 Crosshair

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

    Headshot accuracy 12.6804% — below the 15% mark we flag

    Aim Training →
  2. 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 714.5064ms — above the 700ms mark we flag

    Aim Training →
  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 14.0922% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0910%28 Aug →
mirage13–7-0.0712%28 Aug →
mirage9–13-0.048%28 Aug →
mirage8–0-0.0833%28 Aug →
mirage6–13-0.0531%27 Aug →
cache3–13-0.055%27 Aug →
mirage2–13-0.136%27 Aug →
inferno13–10-0.0115%27 Aug →
anubis3–13-0.0619%27 Aug →
mirage11–13-0.0314%27 Aug →
inferno12–12-0.0714%27 Aug →
mirage13–7-0.109%27 Aug →
cache5–13-0.085%27 Aug →
cache13–10-0.0810%27 Aug →
mirage0–2-0.050%27 Aug →
cache2–13-0.0818%27 Aug →
cache2–13-0.0115%27 Aug →
cache13–20.0222%27 Aug →
ancient13–30.067%27 Aug →
mirage13–9-0.036%27 Aug →
dust27–13-0.0214%26 Aug →
inferno4–13-0.082%26 Aug →
mirage11–13-0.073%26 Aug →
mirage13–8-0.1110%26 Aug →
mirage13–11-0.0710%24 Aug →
dust29–0-0.010%24 Aug →
dust212–12-0.0613%24 Aug →
cache12–12-0.1138%24 Aug →
inferno6–130.008%23 Aug →
inferno4–10-0.0618%23 Aug →
inferno12–12-0.1010%23 Aug →
anubis8–13-0.030%22 Aug →
mirage13–9-0.033%22 Aug →
dust213–6-0.0619%22 Aug →
mirage13–4-0.039%21 Aug →
mirage10–13-0.0712%21 Aug →
mirage4–13-0.113%21 Aug →
mirage11–13-0.0911%21 Aug →
anubis13–0-0.0216%21 Aug →
dust210–13-0.0932%20 Aug →
inferno8–13-0.1012%20 Aug →
vertigo9–13-0.123%20 Aug →
office7–13-0.049%20 Aug →
nuke5–13-0.0917%20 Aug →
inferno6–13-0.083%20 Aug →
dust29–13-0.019%20 Aug →
mirage13–4-0.0310%20 Aug →
anubis6–13-0.059%19 Aug →
ancient4–13-0.075%19 Aug →
dust24–13-0.1113%10 Aug →
mirage11–13-0.0616%7 Aug →
mirage12–12-0.0114%7 Aug →
ancient13–10-0.1211%7 Aug →
inferno9–13-0.1213%7 Aug →
anubis13–1-0.0611%7 Aug →
mirage0–11-0.050%5 Aug →
inferno8–130.035%3 Aug →
mirage2–5-0.0229%2 Aug →
dust210–13-0.0412%2 Aug →
anubis4–130.000%2 Aug →
inferno5–13-0.069%1 Aug →
mirage12–12-0.098%1 Aug →
inferno13–8-0.136%1 Aug →
dust24–13-0.1415%1 Aug →
mirage8–13-0.0733%1 Aug →
mirage13–8-0.0321%1 Aug →
dust28–0-0.04100%27 Jul →
dust213–8-0.0022%27 Jul →
nuke13–0-0.009%26 Jul →
nuke13–3-0.0321%26 Jul →
nuke10–13-0.125%26 Jul →
mirage4–13-0.0814%26 Jul →
dust213–10-0.0213%25 Jul →
dust213–110.0112%25 Jul →
dust212–12-0.0214%24 Jul →
dust21–3-0.080%24 Jul →
anubis13–7-0.019%24 Jul →
cache13–9-0.0815%22 Jul →
cache10–13-0.0013%22 Jul →
cache13–4-0.086%22 Jul →
cache13–9-0.0612%22 Jul →
cache0–5-0.110%22 Jul →
dust213–7-0.1036%22 Jul →
dust22–13-0.0621%22 Jul →
dust212–12-0.137%21 Jul →
cache4–13-0.1025%21 Jul →
cache5–13-0.0613%21 Jul →
cache13–8-0.0210%21 Jul →
dust213–6-0.0427%21 Jul →
dust213–00.0120%21 Jul →

Match data via Leetify.

Recent teammates

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

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