Gramzi — CS2 Stats

76561198001184440[U:1:40918712]

789Tracked matches46%Win rate2020Tracked since
1,771Hours in CS
CSDB Rating4.1 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate42.1%42.2%42.7%meets
Shot accuracy18.1%11.9%10.8%above
Kill/death ratio1.010.981.00meets
Match win rate44.6%43.6%44.1%meets

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGGramziFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim42
Positioning37
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWLLLWLLWWL

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

Player DNA

Aim4.2
Aggression4.0
Utility5.0
Positioning3.7
Opening Duels0.5
Clutch0.0

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 74% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 40% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 713ms 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

Aim4.2
Positioning3.7
Utility5.0
Mechanics5.3
Opening Duels1.3
Win Impact3.8

Composite 4.1/10 (Developing), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time717ms+27ms
first ⅓ avg 689ms → last ⅓ avg 717ms
Headshot accuracy18.5%+0.4%
first ⅓ avg 18.1% → last ⅓ avg 18.5%

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

0.12Best rating — overpass 13–2
130Biggest win — dust2
4Longest win streak
85In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 80% over 5nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA22121055%-0.01
mirageA2012860%-0.02
nukeC135838%-0.02
anubisA116555%0.00
overpassB105550%0.00
ancientC52340%-0.03
dust2S54180%0.01
cache4040%-0.03
train32167%0.02
cache_b31233%-0.02
vertigo2020%-0.11
office1010%-0.04
rooftop1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

75,713Lifetime kills
1.01K/D · Top 50% of Level 3 players
4,329Matches
44.6%Match win rate · Top 50% of Level 3 players
42.1%Headshot %
18.1%Shot accuracy · Top 10% of Level 3 players
8,749MVPs
1,771Hours (in match)
2,880Bombs planted
806Bombs defused

Most-used weapons

Lifetime map wins

10,325inferno
2,248nuke
1,640dust2
1,300cbble
1,284train
1,179vertigo
163lake
149safehouse

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

Faceit stats

Combat

156Matches
53%Win rate
1.21Avg K/D
76.7ADR
40%Headshot %

Clutches & streaks

20%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno667%1.1718.2
Anubis367%0.6613.0
Mirage333%1.1713.3
Dust210%0.508.0
Train1100%0.9519.0
Ancient1100%1.2515.0

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.

18.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
30.8%Spray accuracy
73.8%Counter-strafing
10.6°Preaim
713msReaction time
23.6%T opening success
40.1%CT opening success
0.58Enemies flashed / flash
3.7%Flash assists
7.15HE damage / grenade
5.87Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 713.407ms — above the 700ms mark we flag

    Aim Training
  2. 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 23.5741% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–10.0714%28 Jul
ancient3–13-0.1113%28 Jul
inferno9–13-0.0616%28 Jul
dust25–13-0.0616%28 Jul
mirage13–10.0720%27 Jul
nuke9–13-0.0419%13 Jul
mirage9–13-0.0915%10 Jul
dust213–0-0.0132%10 Jul
inferno13–7-0.0323%10 Jul
cache8–13-0.0115%10 Jul
inferno13–0-0.0111%10 Jul
cache12–12-0.0115%7 Jul
cache4–13-0.0912%7 Jul
nuke7–13-0.0714%25 Jun
anubis13–20.0520%18 Jun
inferno13–11-0.0234%6 Jun
inferno13–100.0119%6 Jun
inferno9–13-0.0321%4 Jun
inferno13–80.0417%26 May
nuke13–10-0.0411%1 May
anubis15–15-0.1015%1 May
mirage13–8-0.0717%1 May
inferno13–16-0.0413%1 May
inferno9–130.0314%1 May
ancient13–50.0829%1 May
cache7–13-0.0229%30 Apr
inferno8–13-0.0710%18 Apr
mirage10–13-0.0123%18 Apr
nuke13–5-0.0318%18 Apr
nuke3–130.0629%18 Apr
overpass13–20.1217%13 Apr
mirage10–8-0.0515%13 Apr
overpass6–13-0.0023%13 Apr
mirage16–13-0.0027%12 Apr
anubis13–110.0417%12 Apr
anubis13–6-0.0120%11 Apr
inferno13–40.0337%11 Apr
mirage7–13-0.0613%11 Apr
inferno13–40.0629%11 Apr
inferno11–13-0.0313%11 Apr
nuke13–5-0.039%11 Apr
mirage13–7-0.0113%11 Apr
inferno7–13-0.0314%11 Apr
mirage10–130.0220%11 Apr
anubis13–70.0214%6 Apr
nuke13–90.0619%6 Apr
anubis11–130.0131%6 Apr
anubis8–13-0.0113%5 Apr
mirage13–5-0.0224%5 Apr
ancient9–13-0.0410%5 Apr
inferno13–80.0214%5 Apr
nuke8–13-0.0417%5 Apr
vertigo12–12-0.0431%2 Apr
office3–13-0.0421%2 Apr
inferno13–11-0.059%2 Apr
mirage13–60.0815%30 Mar
anubis4–13-0.069%30 Mar
ancient6–13-0.0519%30 Mar
dust213–80.0129%29 Mar
vertigo2–9-0.1829%29 Mar
anubis6–130.0238%29 Mar
inferno15–150.0220%22 Mar
mirage11–130.0332%18 Mar
nuke13–110.0136%17 Mar
mirage13–110.0743%17 Mar
dust213–20.1020%17 Mar
mirage4–13-0.0629%4 Mar
overpass10–13-0.0022%3 Mar
overpass7–13-0.0928%1 Feb
inferno7–13-0.1513%25 Jan
mirage9–13-0.0613%25 Jan
mirage13–4-0.015%25 Jan
overpass16–14-0.0215%18 Jan
inferno16–130.0218%18 Jan
mirage13–30.0324%18 Jan
nuke2–13-0.120%18 Jan
rooftop8–8-0.0518%18 Jan
train13–40.0827%16 Jan
inferno5–13-0.0221%16 Jan
nuke14–160.0315%16 Jan
overpass11–130.0421%16 Jan
nuke8–13-0.0513%15 Jan
inferno13–5-0.0124%15 Jan
overpass13–7-0.0122%15 Jan
nuke6–9-0.0126%14 Jan
overpass13–80.0210%13 Jan
overpass3–9-0.104%13 Jan
cache_b4–13-0.0526%12 Jan
ancient13–9-0.0218%11 Jan
train6–13-0.0419%10 Jan
mirage13–10-0.0221%10 Jan
overpass13–80.0723%10 Jan
inferno13–40.0426%10 Jan
cache_b13–110.0625%10 Jan
mirage8–13-0.108%10 Jan
dust213–80.0122%10 Jan
anubis13–7-0.0317%10 Jan
mirage13–5-0.0620%10 Jan
cache_b3–13-0.0918%9 Jan
train13–100.0115%8 Jan

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 →