Gramz

Gramz — CS2 Stats

76561198149662248[U:1:189396520]Steam profile ↗✓ No bans

1,809Tracked matches52%Win rate2020Tracked since
CSDB Rating6.1 SolidPassive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGGramzFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning39
Utility56

0–100 skill scores via Leetify.

Recent form

COLD50428Last 10050%Win rateTWLLWLLWLT

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9
Aggression3.5
Utility5.6
Positioning3.9
Opening Duels0.4

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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
Positioning3.9
Utility5.6
Mechanics8.9
Opening Duels1.6
Win Impact5.7

Composite 6.1/10 (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 time652ms+10ms
first ⅓ avg 642ms → last ⅓ avg 652ms
Headshot accuracy20.3%+0.4%
first ⅓ avg 19.9% → last ⅓ avg 20.3%

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

0.12Best rating — nuke 12–12
131Biggest win — cache
8Longest win streak
64In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB57292851%0.00
mirageB136746%0.00
vertigoA74357%0.02
nukeA53260%0.03
infernoC52340%-0.02
office3030%-0.04
overpass32167%0.01
anubis330100%-0.01
dust22020%-0.01
ancient21150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
60%Win rate
1.25Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%0.8814.7
Ancient10%1.0017.0
Inferno1100%1.1317.0
Overpass10%0.428.0
Vertigo1100%1.8830.0

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.

19.4%Headshot accuracy
37.3%Accuracy (enemy spotted)
36.6%Spray accuracy
89.9%Counter-strafing
8.9°Preaim
648msReaction time
21.0%T opening success
42.6%CT opening success
0.65Enemies flashed / flash
4.6%Flash assists
8.24HE damage / grenade
17.59Flashes / 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 20.9578% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–120.1225%8 Aug
mirage13–40.1021%8 Jul
mirage9–130.0229%6 Jul
cache10–130.0221%30 Jun
cache13–9-0.017%14 Jun
cache7–13-0.0515%27 May
cache4–13-0.0215%26 May
cache13–30.0520%26 May
mirage8–130.0320%24 May
dust212–12-0.0212%24 May
mirage11–130.0116%24 May
cache13–90.0922%24 May
ancient13–11-0.0643%24 May
inferno9–10.010%23 May
mirage13–5-0.0332%23 May
vertigo12–12-0.0112%23 May
cache12–12-0.0215%23 May
cache5–130.0124%23 May
mirage5–130.0224%23 May
vertigo13–30.1016%23 May
cache13–40.0121%23 May
cache13–80.0122%22 May
cache3–13-0.0615%21 May
cache13–11-0.0515%21 May
cache8–13-0.0337%20 May
cache12–120.0116%19 May
cache13–50.0117%17 May
cache13–3-0.0221%17 May
office9–13-0.0311%17 May
cache6–13-0.085%17 May
office4–13-0.0338%17 May
cache13–100.0134%17 May
cache3–130.0328%16 May
vertigo5–13-0.0512%16 May
cache6–13-0.0217%16 May
office9–13-0.0622%16 May
inferno2–13-0.0727%16 May
cache13–110.0315%16 May
cache13–9-0.0412%16 May
vertigo5–130.0521%15 May
cache10–130.0138%15 May
cache1–13-0.0714%15 May
cache13–6-0.119%11 May
cache1–13-0.0435%11 May
cache12–120.0425%11 May
cache13–8-0.0424%11 May
cache13–7-0.0112%10 May
cache13–9-0.0013%10 May
cache13–1-0.0019%10 May
cache13–10-0.0110%10 May
cache13–40.0127%10 May
cache13–110.1125%9 May
cache13–8-0.0025%9 May
cache12–120.0421%9 May
vertigo13–30.0523%9 May
cache13–30.0319%8 May
cache13–110.0231%8 May
inferno6–130.0124%8 May
cache7–13-0.0923%8 May
cache6–13-0.0534%8 May
vertigo13–4-0.0324%8 May
cache11–130.0639%8 May
cache13–60.0413%7 May
cache13–110.1126%6 May
mirage13–6-0.0713%6 May
cache7–13-0.0731%5 May
cache10–13-0.0415%5 May
cache13–70.0825%5 May
dust212–12-0.0115%4 May
overpass13–60.0312%4 May
overpass11–13-0.0217%3 May
mirage13–80.0023%3 May
mirage7–13-0.0524%2 May
mirage13–50.0423%2 May
vertigo13–90.0322%2 May
cache2–13-0.0732%2 May
cache7–13-0.0610%1 May
nuke13–50.0129%1 May
mirage9–13-0.0020%1 May
cache7–13-0.0411%30 Apr
cache2–13-0.0340%30 Apr
cache3–130.0030%30 Apr
cache13–50.067%29 Apr
cache8–13-0.0415%29 Apr
cache13–100.1124%29 Apr
cache13–20.0519%29 Apr
cache13–30.0715%29 Apr
cache7–130.0725%28 Apr
mirage9–130.0010%26 Apr
nuke13–60.0116%25 Apr
anubis13–10-0.0123%25 Apr
nuke5–130.0224%25 Apr
anubis16–120.0219%25 Apr
inferno16–120.038%25 Apr
inferno7–13-0.0726%25 Apr
nuke13–8-0.0124%25 Apr
ancient11–13-0.0214%24 Apr
mirage13–10-0.0311%24 Apr
anubis13–10-0.0324%24 Apr
overpass13–100.0221%23 Apr

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 →