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❀ NASTY TARD ℒ𝓸𝓋𝑒

❀ NASTY TARD ℒ𝓸𝓋𝑒 β€” CS2 Stats

US76561198106183875[U:1:145918147]Steam profile β†—βœ“ No bans

323Tracked matches32%Win rate2022Tracked since
3,237Hours in CS4Hrs last 2 wks
CSDB Rating2.5 Learning
Ladder ranks via Leetify

Performance scores

Aim21
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLWWLLLLLWL

Last 10 vs previous 10: +0pp win rate Β· +0.01 avg rating

Player DNA

Aim2.1
Aggression2.3
Utility5.5
Positioning3.9
Opening Duels0.0
Clutch6.0

Style profile from tracked-match aggregates β€” 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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped β€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.1
Positioning3.9
Utility5.5
Mechanics2.0
Opening Duels0.0
Win Impact0.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.04
first β…“ avg -0.07 β†’ last β…“ avg -0.03
Reaction time671ms+25ms
first β…“ avg 645ms β†’ last β…“ avg 671ms
Headshot accuracy8.1%βˆ’0.5%
first β…“ avg 8.6% β†’ last β…“ avg 8.1%

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

0.12Best rating β€” nuke 13–3
13–0Biggest win β€” overpass
8Longest win streak
7–10In matches decided by ≀2 rounds
3Overtime games

Map breakdown

dust2Best map Β· 83% over 6overpassWeakest map Β· 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%-0.05
nukeS1612–475%-0.03
trainA1610–663%-0.05
infernoC83–538%-0.03
overpassD82–625%-0.05
ancientD72–529%-0.08
dust2S65–183%-0.07
anubisS64–267%-0.07
vertigoβ€”32–167%-0.04
officeβ€”20–20%-0.06
cacheβ€”10–10%-0.09

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,317Lifetime kills
0.90K/D
8,308Matches
60.0%Match win rate Β· Top 5% of tracked players
26.8%Headshot %
6.0%Shot accuracy
6,902MVPs
2,031Hours (in match)
4,222Bombs planted
663Bombs defused

Most-used weapons

AK-4711,929
M4A4 / M4A1-S10,442
P904,089
Desert Eagle4,021
PP-Bizon3,355
XM10142,862
AWP2,800
SSG 082,796
Five-SeveN1,969
SG 5531,957

Lifetime map wins

6,646office
4,898vertigo
4,130nuke
3,410italy
3,166inferno
1,727militia
1,343assault
1,153train

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

Faceit stats

Combat

4Matches
50%Win rate
0.40Avg K/D
32.1ADR
26%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.756.0
Anubis1100%0.296.0
Vertigo10%0.368.0
Dust210%0.193.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

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

8.3%Headshot accuracy
29.7%Accuracy (enemy spotted)
32.0%Spray accuracy
58.9%Counter-strafing
10.5Β°Preaim
673msReaction time
18.8%T opening success
28.4%CT opening success
0.56Enemies flashed / flash
2.5%Flash assists
6.30HE damage / grenade
16.96Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 β€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.2941% β€” below the 15% mark we flag

    Aim Training β†’
  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 18.8345% β€” below the 40% mark we flag

Spend your practice time on Overpass

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

25% win rate across 8 tracked games β€” your weakest map with enough games to be worth reading into.

Overpass callouts & strategy β†’Overpass grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
cache2–13-0.096%3 Aug β†’
nuke13–30.1216%3 Aug β†’
inferno16–14-0.0216%31 Jul β†’
train11–13-0.046%12 Apr β†’
train6–13-0.0211%17 Feb β†’
overpass7–13-0.080%11 Feb β†’
inferno11–13-0.007%9 Feb β†’
mirage8–13-0.039%9 Feb β†’
dust213–11-0.0213%9 Feb β†’
overpass3–13-0.089%6 Feb β†’
mirage15–15-0.017%6 Feb β†’
inferno13–11-0.085%4 Feb β†’
mirage11–13-0.029%4 Feb β†’
mirage10–13-0.0011%4 Feb β†’
ancient6–13-0.059%3 Feb β†’
nuke13–60.049%3 Feb β†’
overpass5–13-0.1011%3 Feb β†’
ancient11–13-0.093%2 Feb β†’
mirage1–13-0.063%2 Feb β†’
mirage13–110.0212%2 Feb β†’
inferno2–13-0.020%2 Feb β†’
nuke13–7-0.065%2 Feb β†’
inferno11–13-0.069%30 Jan β†’
nuke9–13-0.019%30 Jan β†’
mirage15–15-0.048%30 Jan β†’
nuke13–100.027%30 Jan β†’
overpass9–130.0012%30 Jan β†’
mirage13–2-0.024%28 Jan β†’
office2–13-0.085%28 Jan β†’
mirage5–13-0.0313%28 Jan β†’
inferno11–13-0.0110%28 Jan β†’
overpass4–13-0.009%28 Jan β†’
office7–13-0.057%27 Jan β†’
inferno5–13-0.017%27 Jan β†’
nuke13–9-0.055%27 Jan β†’
mirage10–1-0.0929%10 Jan β†’
train13–5-0.0313%10 Jan β†’
nuke13–4-0.093%10 Jan β†’
dust213–9-0.068%6 Jan β†’
inferno13–4-0.029%6 Jan β†’
anubis13–10-0.098%6 Jan β†’
mirage13–10.016%6 Jan β†’
ancient7–13-0.0810%3 Jan β†’
nuke13–9-0.0710%3 Jan β†’
anubis12–12-0.065%3 Jan β†’
mirage3–13-0.089%20 Dec β†’
mirage13–50.019%18 Dec β†’
nuke13–10.064%18 Dec β†’
train13–1-0.026%18 Dec β†’
nuke8–13-0.097%13 Dec β†’
train13–50.005%13 Dec β†’
overpass13–10-0.0412%13 Dec β†’
train13–6-0.0513%11 Dec β†’
mirage13–11-0.0513%11 Dec β†’
dust213–9-0.088%11 Dec β†’
mirage13–8-0.1017%5 Dec β†’
overpass0–13-0.110%5 Dec β†’
mirage11–13-0.089%5 Dec β†’
train13–5-0.050%5 Dec β†’
nuke13–11-0.067%27 Nov β†’
mirage12–12-0.048%27 Nov β†’
mirage13–6-0.048%27 Nov β†’
train13–2-0.020%27 Nov β†’
mirage11–13-0.0814%22 Nov β†’
anubis13–7-0.0912%22 Nov β†’
nuke13–11-0.0510%20 Nov β†’
train10–13-0.046%20 Nov β†’
nuke13–6-0.083%20 Nov β†’
mirage9–13-0.1119%20 Nov β†’
ancient13–5-0.106%20 Nov β†’
anubis13–4-0.073%20 Nov β†’
train13–4-0.057%15 Nov β†’
train9–13-0.118%15 Nov β†’
vertigo13–2-0.0625%15 Nov β†’
anubis13–2-0.0413%15 Nov β†’
train11–13-0.089%15 Nov β†’
dust213–9-0.0412%15 Nov β†’
mirage13–5-0.0415%15 Nov β†’
train13–4-0.0912%14 Nov β†’
mirage13–9-0.106%14 Nov β†’
train13–6-0.056%14 Nov β†’
train11–13-0.073%14 Nov β†’
train13–9-0.0810%14 Nov β†’
vertigo13–70.0213%13 Nov β†’
nuke2–13-0.117%13 Nov β†’
dust213–8-0.134%13 Nov β†’
ancient12–12-0.093%13 Nov β†’
ancient3–13-0.140%12 Nov β†’
mirage13–10-0.1210%12 Nov β†’
mirage13–5-0.0716%12 Nov β†’
nuke13–4-0.000%6 Nov β†’
dust22–13-0.066%6 Nov β†’
mirage6–13-0.048%6 Nov β†’
anubis10–13-0.062%6 Nov β†’
nuke7–13-0.0911%1 Nov β†’
mirage9–13-0.129%1 Nov β†’
overpass13–00.0511%1 Nov β†’
mirage6–13-0.1217%25 Oct β†’
vertigo6–13-0.096%25 Oct β†’
ancient13–40.025%25 Oct β†’

Match data via Leetify.

Recent teammates

Milestones

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

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