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Fred Durst — CS2 Stats

76561198019088923[U:1:58823195]

654Tracked matches43%Win rate2025Tracked since
578Hours in CS4Hrs last 2 wks
CSDB Rating2.8 Learning
Ladder ranks via Leetify

Performance scores

Aim22
Positioning35
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY36–58–6Last 10036%Win rateWWLLTWLLWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim2.2
Aggression3.2
Utility3.5
Positioning3.5
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 68% playstyle similarity

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

Where you differ: lower utility contribution; 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. 629ms 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

Aim2.2
Positioning3.5
Utility3.5
Mechanics4.1
Opening Duels0.0
Win Impact2.6

Composite 2.8/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time627ms−38ms
first ⅓ avg 665ms → last ⅓ avg 627ms
Headshot accuracy12.1%−1.5%
first ⅓ avg 13.6% → last ⅓ avg 12.1%

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

0.11Best rating — train 13–1
13–1Biggest win — office
4Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

italyBest map · 80% over 5mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
officeA1710–759%-0.02
nukeD165–1131%-0.02
ancientD153–1220%-0.03
infernoC146–843%-0.03
mirageD70–70%-0.04
dust2D62–433%-0.03
italyS54–180%-0.03
cacheD50–50%-0.05
overpass—41–325%-0.08
train—32–167%0.02
fachwerk—31–233%-0.06
anubis—21–150%-0.05
shelter—10–10%-0.04
vertigo—10–10%-0.10
alpine—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,120Lifetime kills
0.63K/D
887Matches
41.5%Match win rate
39.2%Headshot %
2.8%Shot accuracy
863MVPs
333Hours (in match)
719Bombs planted
151Bombs defused

Most-used weapons

AK-471,783
M4A4 / M4A1-S1,636
XM1014791
AWP547
MP9515
MAC-10502
P2000 / USP-S489
Glock-18414
Galil AR392
Nova247

Lifetime map wins

1,572dust2
1,078office
1,051inferno
1,025nuke
348train
249italy
131vertigo
25aztec

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.

12.2%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.7%Spray accuracy
68.4%Counter-strafing
15.2°Preaim
629msReaction time
22.2%T opening success
30.2%CT opening success
0.34Enemies flashed / flash
4.0%Flash assists
11.27HE damage / grenade
2.16Flashes / 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 15.1795° — 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 12.2227% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3372 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office7–3-0.0625%28 Aug →
italy13–3-0.0722%28 Aug →
dust27–13-0.0312%26 Aug →
ancient4–13-0.046%26 Aug →
anubis12–12-0.0822%21 Aug →
office13–40.039%17 Aug →
nuke6–130.019%16 Aug →
office7–13-0.1013%11 Aug →
ancient13–30.0818%11 Aug →
nuke3–130.0111%10 Aug →
dust213–80.0416%10 Aug →
office13–10.0413%9 Aug →
inferno13–9-0.0411%9 Aug →
office13–50.0611%6 Aug →
inferno12–12-0.0418%6 Aug →
train6–13-0.0311%3 Aug →
train13–10.116%3 Aug →
inferno5–13-0.073%30 Jul →
mirage5–13-0.0513%29 Jul →
ancient2–13-0.022%29 Jul →
nuke5–13-0.0113%25 Jul →
office13–1-0.010%23 Jul →
nuke13–4-0.0011%23 Jul →
inferno6–13-0.0411%22 Jul →
nuke0–13-0.068%21 Jul →
cache6–13-0.0523%17 Jul →
ancient8–13-0.0311%16 Jul →
inferno13–10-0.0418%15 Jul →
ancient3–13-0.090%14 Jul →
mirage4–13-0.0913%14 Jul →
italy13–90.0511%13 Jul →
nuke10–130.0914%13 Jul →
mirage2–13-0.0116%12 Jul →
cache7–13-0.045%12 Jul →
fachwerk13–11-0.109%12 Jul →
office9–13-0.0123%11 Jul →
train13–11-0.0311%11 Jul →
fachwerk10–13-0.0417%11 Jul →
inferno13–80.0414%10 Jul →
cache4–13-0.064%9 Jul →
inferno13–7-0.097%9 Jul →
fachwerk12–12-0.0617%9 Jul →
shelter7–13-0.0410%9 Jul →
mirage8–13-0.087%8 Jul →
office6–13-0.078%8 Jul →
vertigo3–13-0.1011%8 Jul →
mirage12–12-0.0515%7 Jul →
ancient7–13-0.018%3 Jul →
ancient8–13-0.0715%2 Jul →
cache8–13-0.0512%2 Jul →
inferno9–0-0.0020%2 Jul →
dust210–13-0.0422%2 Jul →
inferno3–13-0.0815%30 Jun →
mirage11–130.0612%29 Jun →
italy8–13-0.059%29 Jun →
overpass13–6-0.0518%29 Jun →
office13–5-0.0714%29 Jun →
anubis13–11-0.0210%29 Jun →
mirage3–13-0.0913%28 Jun →
ancient16–130.0210%28 Jun →
nuke11–13-0.0212%28 Jun →
overpass10–13-0.118%28 Jun →
alpine13–11-0.0613%28 Jun →
office13–8-0.037%28 Jun →
italy13–6-0.0113%28 Jun →
inferno11–13-0.008%27 Jun →
nuke13–9-0.097%27 Jun →
office7–13-0.0922%27 Jun →
ancient11–13-0.0520%27 Jun →
ancient13–4-0.0113%27 Jun →
inferno13–9-0.0212%26 Jun →
ancient5–13-0.0714%25 Jun →
italy13–8-0.084%25 Jun →
overpass10–13-0.047%24 Jun →
ancient10–13-0.075%23 Jun →
nuke13–11-0.0413%23 Jun →
ancient5–13-0.0214%21 Jun →
dust213–3-0.083%21 Jun →
nuke13–100.0112%21 Jun →
office0–13-0.0320%21 Jun →
nuke8–130.0511%21 Jun →
overpass5–13-0.112%19 Jun →
office13–20.0338%18 Jun →
office11–13-0.0129%17 Jun →
office13–40.010%14 Jun →
ancient8–13-0.0322%14 Jun →
dust25–13-0.0313%14 Jun →
ancient5–13-0.099%13 Jun →
inferno3–13-0.0421%12 Jun →
nuke2–13-0.036%12 Jun →
nuke4–13-0.0715%10 Jun →
office13–11-0.057%9 Jun →
cache6–13-0.0520%5 Jun →
inferno11–13-0.0219%4 Jun →
nuke13–11-0.048%3 Jun →
office12–120.0219%3 Jun →
dust24–13-0.0412%3 Jun →
inferno6–13-0.0223%1 Jun →
nuke6–13-0.063%1 Jun →
nuke12–12-0.0613%31 May →

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 →

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