grond

grond — CS2 Stats

76561199088380105[U:1:1128114377]Steam profile ↗

1,729Tracked matches57%Win rate2020Tracked since
CSDB Rating6.4 SolidHybrid Rifler
Premier CS Rating16,297Purple band · top ~23.2% of ranked players (population est.)
CSDB Leaderboard#9677 of 15901 tracked
Ladder ranks via Leetify

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CSDB.GGgrondPREMIER16,297 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

COLD59374Last 10059%Win rateLLLLWLWLTL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.9
Aggression5.3
Utility4.5
Positioning5.1
Opening Duels1.5

Excellent counter-strafingStrong 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

NiKo

Plays most like NiKo 90% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim7.9
Positioning5.1
Utility4.5
Mechanics8.7
Opening Duels2.8
Win Impact7.4

Composite 6.4/10 (Solid), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time677ms−19ms
first ⅓ avg 696ms → last ⅓ avg 677ms
Headshot accuracy32.1%−11.1%
first ⅓ avg 43.3% → last ⅓ avg 32.1%

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

0.09Best rating — dust2 13–6
130Biggest win — mirage
6Longest win streak
L4Current streak
86In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 24dust2Weakest map · 56% over 27
MapGradePlayedRecordWin rateAvg rating
dust2A27151256%-0.01
mirageS2416867%-0.03
infernoA1710759%-0.03
cacheA169756%-0.00
anubis43175%-0.01
ancient42250%0.00
nuke31233%-0.03
train21150%-0.01
overpass220100%-0.00
vertigo1010%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (56% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

32.8%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.6%Spray accuracy
89.2%Counter-strafing
8.5°Preaim
665msReaction time
19.6%T opening success
52.3%CT opening success
0.65Enemies flashed / flash
7.0%Flash assists
2.96HE damage / grenade
9.87Flashes / 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 19.5727% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0842%26 Aug
cache4–13-0.0739%26 Aug
cache8–13-0.0446%24 Aug
cache8–13-0.0226%23 Aug
mirage13–10-0.0326%23 Aug
mirage8–13-0.0430%23 Aug
dust213–9-0.0226%23 Aug
dust24–13-0.0721%23 Aug
dust215–15-0.0625%23 Aug
cache9–130.0133%23 Aug
dust215–15-0.0216%23 Aug
inferno13–10-0.0524%22 Aug
anubis13–100.0041%22 Aug
inferno11–130.0328%22 Aug
inferno9–13-0.0542%21 Aug
dust213–60.0938%21 Aug
inferno13–50.0552%21 Aug
nuke9–13-0.0536%14 Aug
mirage13–7-0.0122%14 Aug
cache16–120.0145%9 Aug
inferno13–70.0364%9 Aug
dust213–70.0059%9 Aug
anubis13–11-0.0345%8 Aug
mirage13–10-0.0524%8 Aug
mirage3–13-0.0325%4 Aug
ancient13–90.0520%30 Jul
cache13–70.0214%28 Jul
mirage13–60.0033%28 Jul
mirage13–10-0.0129%27 Jul
nuke6–13-0.0521%26 Jul
dust213–100.0126%26 Jul
cache7–130.0128%26 Jul
dust213–11-0.0315%26 Jul
cache16–13-0.0126%26 Jul
dust213–9-0.0237%26 Jul
mirage13–11-0.0226%26 Jul
inferno13–10-0.0424%26 Jul
ancient13–80.0523%25 Jul
mirage5–13-0.0731%25 Jul
cache16–140.0215%24 Jul
mirage6–13-0.0519%24 Jul
inferno13–50.0134%24 Jul
cache4–13-0.0755%23 Jul
anubis13–60.0223%23 Jul
mirage13–6-0.0443%23 Jul
mirage13–50.0050%23 Jul
dust211–13-0.0022%23 Jul
mirage13–20.0119%23 Jul
inferno13–10.0742%22 Jul
dust215–15-0.0227%22 Jul
mirage8–13-0.0641%22 Jul
cache13–60.0332%22 Jul
dust26–13-0.0531%22 Jul
inferno9–13-0.0426%20 Jul
dust211–130.0548%20 Jul
cache13–5-0.0054%20 Jul
dust213–5-0.0027%20 Jul
inferno13–11-0.0735%19 Jul
cache9–13-0.0028%19 Jul
cache13–10.0734%19 Jul
dust213–60.0931%19 Jul
mirage13–6-0.0947%19 Jul
inferno14–16-0.0723%19 Jul
inferno13–9-0.0053%19 Jul
mirage13–4-0.0424%19 Jul
mirage13–00.000%19 Jul
mirage1–5-0.0850%19 Jul
mirage13–1-0.0129%19 Jul
cache16–14-0.0125%18 Jul
dust213–2-0.0325%13 Jul
dust20–20.02100%13 Jul
ancient8–13-0.0628%13 Jul
inferno7–13-0.0428%13 Jul
inferno16–120.0225%12 Jul
mirage13–70.0229%12 Jul
inferno6–13-0.1225%11 Jul
dust213–4-0.0223%11 Jul
dust213–4-0.0658%6 Jul
dust213–11-0.0441%6 Jul
mirage13–7-0.0347%25 Jun
inferno4–13-0.1214%25 Jun
dust213–8-0.0481%25 Jun
train9–13-0.0165%22 Jun
overpass13–90.0429%22 Jun
dust29–13-0.0528%21 Jun
overpass13–4-0.0450%21 Jun
mirage13–9-0.0441%21 Jun
mirage10–130.0041%18 Jun
ancient9–13-0.0441%18 Jun
dust24–13-0.0117%18 Jun
train13–10-0.0160%17 Jun
dust213–110.0362%17 Jun
anubis5–13-0.0530%16 Jun
inferno13–8-0.0650%16 Jun
cache13–20.0391%16 Jun
dust213–10-0.0547%16 Jun
vertigo6–13-0.0148%16 Jun
dust212–120.0142%15 Jun
nuke13–70.0377%14 Jun
mirage11–13-0.0230%14 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →