spicynuggz

spicynuggz — CS2 Stats

US76561198139841247[U:1:179575519]Steam profile ↗✓ No bans

856Tracked matches52%Win rate2023Tracked since
CSDB Rating5.3 DevelopingEntry Fragger
Premier CS Rating11,137Blue band · top ~48.9% of ranked players (population est.)
CSDB Leaderboard#39151 of 56049 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGspicynuggzFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,137 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning66
Utility56

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLWLTLLLWLL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim5.0
Aggression10.0
Utility5.6
Positioning6.6
Opening Duels6.3
Clutch1.8

Strong CT-side opener

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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.0
Positioning6.6
Utility5.6
Mechanics5.1
Opening Duels6.3
Win Impact5.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time613ms−13ms
first ⅓ avg 626ms → last ⅓ avg 613ms
Headshot accuracy11.8%+0.5%
first ⅓ avg 11.3% → last ⅓ avg 11.8%

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

0.13Best rating — dust2 13–5
131Biggest win — cache
7Longest win streak
76In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 73% over 15infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%-0.01
mirageD2171433%-0.02
cacheS1511473%-0.02
ancientC135838%-0.00
nukeC104640%-0.01
infernoD103730%-0.01
anubisA95456%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

66Matches
44%Win rate
0.88Avg K/D
70.8ADR
30%Headshot %

Clutches & streaks

29%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1953%0.8915.1
Dust21656%0.9913.4
Nuke1354%1.0014.0
Anubis540%0.6710.6
Inferno425%0.8914.3
Cache40%0.447.8
Ancient20%0.7012.0
Vertigo20%0.8014.5

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.

12.1%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.4%Spray accuracy
72.9%Counter-strafing
11.2°Preaim
613msReaction time
44.5%T opening success
66.1%CT opening success
0.60Enemies flashed / flash
7.4%Flash assists
9.01HE damage / grenade
9.23Flashes / 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 12.0809% — below the 15% 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0225%30 Aug
mirage13–90.0615%30 Aug
mirage9–130.037%22 Aug
nuke15–15-0.059%22 Aug
ancient8–13-0.0113%22 Aug
dust28–13-0.0210%22 Aug
mirage10–13-0.0113%22 Aug
nuke13–11-0.0211%22 Aug
cache7–13-0.016%20 Aug
dust28–130.019%20 Aug
inferno13–80.0318%20 Aug
cache13–10-0.0110%19 Aug
nuke13–80.0214%19 Aug
dust213–110.0315%19 Aug
ancient13–10-0.039%18 Aug
dust213–80.0711%18 Aug
mirage1–13-0.046%10 Aug
dust211–130.0116%10 Aug
anubis13–100.027%9 Aug
nuke15–15-0.0323%9 Aug
dust213–10-0.078%9 Aug
dust213–60.0813%9 Aug
mirage7–13-0.0318%9 Aug
ancient16–140.007%9 Aug
inferno15–150.0518%8 Aug
nuke13–60.049%8 Aug
mirage13–9-0.028%8 Aug
mirage7–13-0.0210%8 Aug
mirage11–13-0.0212%8 Aug
inferno9–130.0012%8 Aug
cache13–16-0.062%5 Aug
ancient13–60.0813%5 Aug
nuke7–130.0014%3 Aug
mirage14–16-0.025%3 Aug
anubis13–3-0.0112%3 Aug
dust210–13-0.0310%3 Aug
anubis9–13-0.028%2 Aug
cache13–8-0.0117%2 Aug
mirage13–5-0.0013%2 Aug
dust213–10-0.0717%2 Aug
mirage12–16-0.0314%2 Aug
inferno13–8-0.024%2 Aug
dust23–13-0.0611%2 Aug
mirage11–30.0313%2 Aug
cache16–120.049%1 Aug
inferno8–13-0.0620%31 Jul
mirage9–13-0.003%31 Jul
dust213–11-0.0714%31 Jul
mirage7–13-0.0313%31 Jul
dust27–13-0.057%30 Jul
mirage10–13-0.0214%30 Jul
ancient15–15-0.026%29 Jul
anubis4–130.0110%28 Jul
dust213–8-0.0110%28 Jul
cache13–8-0.066%28 Jul
ancient15–150.015%28 Jul
dust213–50.1319%27 Jul
mirage10–130.045%27 Jul
inferno6–130.0513%27 Jul
inferno13–16-0.0513%26 Jul
dust213–16-0.063%23 Jul
inferno10–13-0.005%23 Jul
anubis13–9-0.0110%23 Jul
inferno9–13-0.078%22 Jul
cache13–3-0.039%22 Jul
anubis10–13-0.0218%22 Jul
dust211–130.0211%20 Jul
ancient8–13-0.0110%20 Jul
mirage8–13-0.073%20 Jul
cache3–13-0.039%20 Jul
anubis16–14-0.0210%20 Jul
anubis15–15-0.0012%19 Jul
cache13–90.027%19 Jul
dust23–13-0.0814%19 Jul
ancient2–13-0.0210%18 Jul
nuke13–10-0.008%18 Jul
cache13–10-0.046%18 Jul
ancient9–13-0.087%17 Jul
dust214–16-0.0335%17 Jul
inferno13–9-0.023%17 Jul
mirage16–13-0.0615%17 Jul
mirage16–14-0.037%16 Jul
mirage13–3-0.0418%16 Jul
nuke9–130.012%16 Jul
ancient11–13-0.038%16 Jul
dust28–13-0.0413%16 Jul
cache13–70.015%15 Jul
mirage6–13-0.074%15 Jul
ancient5–130.0422%15 Jul
dust213–100.0317%15 Jul
cache10–130.0011%15 Jul
cache13–1-0.029%15 Jul
ancient13–100.014%15 Jul
anubis13–40.0313%15 Jul
cache13–11-0.065%15 Jul
dust213–10-0.0329%14 Jul
cache13–60.0315%14 Jul
ancient13–50.057%14 Jul
nuke6–13-0.0911%14 Jul
dust213–100.0022%14 Jul

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 →