Mintgreen

Mintgreen — CS2 Stats

76561198045955424[U:1:85689696]Steam profile ↗✓ No bans

1,097Tracked matches47%Win rate2020Tracked since
4,021Hours in CS10Hrs last 2 wks
CSDB Rating5.9 SolidPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim89
Positioning40
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateLWWWWWLLLL

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

Player DNA

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

Aim8.9
Aggression3.9
Utility5.8
Positioning4.0
Opening Duels1.5
Clutch4.0

Sharp aimerStrong CT-side openerEffective flashes

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 88% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-fight frequency; lower positioning 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 49 points — deaths here waste a strong aim profile.

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 47% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning4.0
Utility5.8
Mechanics6.4
Opening Duels2.2
Win Impact3.9

Composite 5.9/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time549ms−55ms
first ⅓ avg 605ms → last ⅓ avg 549ms
Headshot accuracy17.5%+2.4%
first ⅓ avg 15.1% → last ⅓ avg 17.5%

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

0.17Best rating — mirage 13–8
130Biggest win — mirage
8Longest win streak
56In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 86% over 7infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B31151648%0.01
mirageA2516964%0.02
infernoC135838%-0.03
ancientC104640%-0.00
anubisB84450%0.01
nukeS76186%0.03
overpassC52340%0.03
office110100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,434Lifetime kills
1.27K/D · Top 25% of tracked players
7,192Matches
43.5%Match win rate
32.9%Headshot %
22.2%Shot accuracy · Top 1% of tracked players
15,215MVPs
2,961Hours (in match)
4,422Bombs planted
1,495Bombs defused

Most-used weapons

AK-4738,209
AWP29,337
P2503,824
Molotov3,251
Knife2,752

Lifetime map wins

16,986dust2
12,566inferno
3,430nuke
1,624vertigo
1,095train
164office
143cbble
84dust

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

Faceit stats

Combat

1,292Matches
54%Win rate
1.06Avg K/D
76.1ADR
32%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9237%0.9214.5
Dust29160%1.1017.2
Inferno5758%0.9614.6
Ancient4648%0.9715.2
Anubis3053%0.9614.8
Nuke1547%1.8214.5
Vertigo1050%0.9116.7
Overpass580%0.9217.0

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.

18.6%Headshot accuracy
43.1%Accuracy (enemy spotted)
42.4%Spray accuracy
78.9%Counter-strafing
8.7°Preaim
527msReaction time
24.7%T opening success
47.3%CT opening success
0.72Enemies flashed / flash
7.9%Flash assists
7.39HE damage / grenade
8.76Flashes / 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 24.6991% — below the 40% mark we flag

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.078%24 Aug
mirage13–11-0.0514%18 Aug
mirage13–80.1724%17 Aug
dust213–50.1016%17 Aug
nuke13–90.0928%17 Aug
dust213–80.0417%14 Aug
mirage9–13-0.0319%12 Aug
ancient11–130.0516%7 Aug
dust24–13-0.0528%5 Aug
inferno5–13-0.153%20 Jul
mirage8–130.1023%7 Jul
anubis3–13-0.0318%7 Jul
dust213–90.0621%5 Jul
ancient10–130.0217%5 Jul
dust213–80.0214%5 Jul
nuke13–4-0.0322%5 Jul
mirage7–13-0.0315%5 Jul
mirage7–13-0.0013%4 Jul
mirage13–3-0.0112%4 Jul
mirage13–50.0620%3 Jul
ancient14–16-0.0824%3 Jul
dust213–70.0240%3 Jul
mirage13–80.0418%2 Jul
dust213–9-0.0127%1 Jul
dust214–160.0025%1 Jul
dust20–13-0.000%1 Jul
anubis13–60.0217%1 Jul
inferno1–13-0.0416%1 Jul
dust213–16-0.0312%1 Jul
inferno7–13-0.0813%30 Jun
mirage2–00.000%30 Jun
ancient13–50.0114%30 Jun
mirage6–13-0.0026%30 Jun
nuke13–100.0912%30 Jun
mirage13–11-0.0116%29 Jun
inferno13–16-0.0511%29 Jun
dust213–60.0940%29 Jun
dust213–40.0727%26 Jun
mirage13–30.085%26 Jun
overpass8–130.0226%26 Jun
mirage13–100.0212%26 Jun
ancient16–130.0012%11 Jun
dust213–50.0617%25 May
inferno13–2-0.038%25 May
mirage3–130.0715%23 May
dust28–130.0413%23 May
anubis10–130.0114%23 May
inferno11–130.0418%23 May
mirage12–120.0716%23 May
dust213–40.0532%21 May
mirage13–70.0827%21 May
overpass6–130.0023%21 May
dust210–13-0.0322%21 May
inferno10–13-0.0120%17 May
dust213–5-0.070%17 May
dust27–13-0.0131%10 May
mirage15–15-0.048%10 May
dust213–40.0629%8 May
inferno2–13-0.0417%4 May
mirage13–8-0.0117%3 May
ancient9–130.0215%30 Apr
dust210–13-0.0313%29 Apr
inferno13–50.0219%24 Apr
ancient13–60.0021%22 Apr
anubis13–6-0.0315%15 Apr
nuke5–13-0.065%13 Apr
dust25–13-0.049%12 Apr
mirage13–4-0.0513%11 Apr
ancient9–13-0.0214%11 Apr
mirage3–13-0.0810%9 Apr
dust213–110.0311%9 Apr
dust213–4-0.0511%9 Apr
mirage13–80.0314%8 Apr
anubis13–90.0313%7 Apr
ancient11–13-0.078%6 Apr
dust210–13-0.024%6 Apr
dust25–130.0113%6 Apr
nuke13–70.0437%31 Mar
dust210–13-0.0810%31 Mar
ancient13–20.0413%31 Mar
dust27–13-0.0522%31 Mar
overpass5–130.0712%30 Mar
dust26–130.0523%30 Mar
dust213–11-0.0416%29 Mar
overpass13–3-0.0114%29 Mar
anubis12–160.0321%29 Mar
inferno13–90.078%29 Mar
nuke13–100.0114%25 Mar
office13–30.0614%20 Mar
mirage13–00.0513%18 Mar
mirage13–7-0.0319%10 Mar
inferno13–4-0.0210%10 Mar
inferno13–9-0.0217%8 Mar
anubis13–30.038%8 Mar
anubis11–130.0215%5 Mar
mirage13–70.0312%5 Mar
dust21–90.0021%16 Feb
nuke13–100.0713%16 Feb
overpass13–80.0518%16 Feb
dust210–130.0138%11 Feb

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →