-prodigy — CS2 Stats

76561198871517151[U:1:911251423]✓ No bans

2,165Tracked matches59%Win rate2024Tracked since
CSDB Rating5.8 SolidPassive Rifler
Premier CS Rating21,733Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#8705 of 27859 tracked
FaceitLevel 8 · 1,509 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG-prodigyFACEITLevel 8 · 1,509 ELOSTANDINGTop 31.2% of rankedPREMIER21,733 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning42
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51454Last 10051%Win rateTWWLLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.0
Aggression3.3
Utility5.6
Positioning4.2
Opening Duels0.6
Clutch3.8

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 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 614ms 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

Aim7.0
Positioning4.2
Utility5.6
Mechanics7.1
Opening Duels0.9
Win Impact7.9

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time614ms+4ms
first ⅓ avg 610ms → last ⅓ avg 614ms
Headshot accuracy15.3%−3.0%
first ⅓ avg 18.2% → last ⅓ avg 15.3%

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

0.10Best rating — inferno 13–3
130Biggest win — nuke
7Longest win streak
117In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 80% over 20anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB26131350%0.00
dust2B24121250%-0.00
infernoS2016480%0.01
ancientC156940%-0.01
anubisD71614%-0.01
nukeA53260%-0.04
overpass2020%-0.00
train1010%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,539Matches
49%Win rate
1.10Avg K/D
74.5ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno39149%1.1015.2
Ancient36753%1.1216.1
Dust222445%1.2015.7
Anubis21149%1.0815.8
Mirage20849%1.0214.5
Nuke10550%1.0614.8
Vertigo2454%1.0012.9
Train633%1.1413.5

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.

15.7%Headshot accuracy
37.5%Accuracy (enemy spotted)
36.9%Spray accuracy
82.0%Counter-strafing
9.7°Preaim
614msReaction time
27.5%T opening success
37.1%CT opening success
0.61Enemies flashed / flash
3.6%Flash assists
8.94HE damage / grenade
10.32Flashes / 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

    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 27.4501% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno12–120.0119%20 Apr
mirage13–100.0116%20 Apr
ancient13–60.0219%20 Apr
inferno11–13-0.0721%19 Apr
inferno12–16-0.0512%19 Apr
mirage5–130.0116%19 Mar
inferno13–70.0825%18 Mar
mirage7–13-0.0813%17 Mar
ancient16–120.0221%13 Mar
inferno13–7-0.0320%12 Mar
mirage16–140.0210%12 Mar
inferno13–110.0316%11 Mar
mirage16–120.0310%10 Mar
anubis11–130.0132%10 Mar
ancient5–13-0.0911%10 Mar
nuke14–16-0.0616%9 Mar
ancient13–9-0.0117%8 Mar
mirage2–13-0.0424%8 Mar
ancient8–13-0.0212%5 Mar
dust29–130.0216%5 Mar
mirage13–50.0418%5 Mar
mirage13–60.0729%5 Mar
overpass6–13-0.0210%4 Mar
dust29–13-0.019%3 Mar
nuke13–9-0.0311%3 Mar
inferno13–90.0113%3 Mar
dust213–40.0621%3 Mar
mirage13–70.014%3 Mar
inferno13–80.027%2 Mar
ancient13–40.0110%2 Mar
inferno13–1-0.059%2 Mar
dust25–13-0.0411%2 Mar
ancient8–13-0.078%2 Mar
dust213–100.0412%2 Mar
mirage13–11-0.0034%2 Mar
mirage10–130.019%28 Feb
mirage3–130.0025%27 Feb
dust23–13-0.0511%26 Feb
mirage0–3-0.040%26 Feb
nuke3–13-0.1122%26 Feb
inferno16–120.0420%25 Feb
mirage15–150.0422%25 Feb
ancient7–13-0.0716%25 Feb
dust213–11-0.0517%25 Feb
inferno13–5-0.0418%25 Feb
anubis13–60.055%25 Feb
inferno13–80.0335%25 Feb
mirage7–13-0.0614%25 Feb
dust213–6-0.0223%25 Feb
dust213–4-0.0323%25 Feb
inferno13–20.007%25 Feb
mirage9–4-0.0419%25 Feb
ancient11–130.0017%25 Feb
nuke13–70.0215%25 Feb
overpass14–160.0220%24 Feb
dust213–16-0.0536%24 Feb
dust213–11-0.056%24 Feb
inferno13–110.0211%24 Feb
mirage10–13-0.1018%24 Feb
ancient13–10-0.0420%23 Feb
inferno16–140.0116%23 Feb
dust29–130.0027%23 Feb
dust28–13-0.0524%23 Feb
dust214–160.0016%23 Feb
inferno13–110.0816%23 Feb
inferno13–8-0.0123%23 Feb
mirage16–130.027%23 Feb
ancient10–130.0712%20 Feb
dust213–70.0136%20 Feb
inferno13–50.0416%20 Feb
dust213–60.0620%20 Feb
ancient7–13-0.0722%18 Feb
ancient13–90.0912%18 Feb
mirage13–90.0820%17 Feb
dust29–130.0020%17 Feb
inferno11–130.0013%17 Feb
mirage13–90.0012%17 Feb
mirage12–160.0318%17 Feb
anubis5–13-0.0423%16 Feb
train3–13-0.0817%15 Feb
inferno13–30.1016%15 Feb
ancient8–13-0.0124%13 Feb
dust28–13-0.0226%13 Feb
mirage13–80.0420%12 Feb
dust213–11-0.059%12 Feb
mirage9–13-0.0219%12 Feb
dust213–70.0417%12 Feb
anubis15–150.0026%11 Feb
mirage5–13-0.0314%11 Feb
dust213–90.0235%11 Feb
dust24–13-0.0118%11 Feb
dust25–130.0323%10 Feb
anubis9–130.0117%10 Feb
anubis7–13-0.0410%10 Feb
mirage7–130.0312%10 Feb
anubis5–13-0.0515%10 Feb
mirage13–110.0318%9 Feb
nuke13–0-0.0113%9 Feb
ancient15–15-0.029%9 Feb
dust213–110.0420%9 Feb

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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