Hamma — CS2 Stats

76561198013451548[U:1:53185820]

967Tracked matches53%Win rate2021Tracked since
1,412Hours in CS11Hrs last 2 wks
CSDB Rating3.2 Learning
Premier CS Rating14,895Blue band · top ~29% of ranked players (population est.)
CSDB Leaderboard#24875 of 40236 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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 rate37.4%42.2%42.7%5.2% short
Shot accuracy7.0%11.9%10.8%3.8% short
Kill/death ratio0.690.981.000.30 short
Match win rate36.8%43.6%44.1%7.3% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHammaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,895 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning35
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateWWWWWLLLWL

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Aim2.9
Aggression1.7
Utility5.6
Positioning3.5
Opening Duels0.0
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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning3.5
Utility5.6
Mechanics2.5
Opening Duels0.2
Win Impact6.1

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time629ms−41ms
first ⅓ avg 670ms → last ⅓ avg 629ms
Headshot accuracy11.9%+1.3%
first ⅓ avg 10.6% → last ⅓ avg 11.9%

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

0.11Best rating — cache 13–1
131Biggest win — cache
5Longest win streak
W5Current streak
1111In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
dust2B28141450%-0.02
mirageC26101638%-0.04
cacheB178947%-0.02
nukeB147750%-0.01
infernoB63350%-0.02
anubisA53260%-0.04
ancient1010%-0.06
vertigo1010%-0.06
office110100%-0.05
boulder1010%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,218Lifetime kills
0.69K/D
2,185Matches
36.8%Match win rate
37.4%Headshot %
7.0%Shot accuracy
3,071MVPs
866Hours (in match)
2,055Bombs planted
407Bombs defused

Most-used weapons

Lifetime map wins

4,665dust2
3,450inferno
1,644nuke
763vertigo
540train
110office
15italy
1aztec

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

Faceit stats

Combat

65Matches
42%Win rate
0.62Avg K/D
60.3ADR
35%Headshot %

Clutches & streaks

12%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%0.457.6
Dust2812%0.6111.0
Vertigo540%0.7211.0
Nuke520%0.5510.0
Anubis580%0.689.4
Overpass450%0.8212.8
Ancient367%0.618.7
Inferno20%0.6211.0

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.

11.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
39.1%Spray accuracy
61.2%Counter-strafing
14.2°Preaim
620msReaction time
23.6%T opening success
31.4%CT opening success
0.61Enemies flashed / flash
3.5%Flash assists
9.56HE damage / grenade
8.60Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.24° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.5112% — below the 15% mark we flag

    Aim Training
Spend your practice time on Mirage

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 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–50.026%28 Aug
dust213–8-0.0317%28 Aug
mirage13–5-0.0311%28 Aug
cache13–11-0.077%28 Aug
cache13–11-0.0215%21 Aug
dust27–13-0.0415%21 Aug
mirage8–13-0.0618%21 Aug
nuke2–13-0.0618%19 Aug
dust213–20.0715%19 Aug
mirage7–13-0.0324%19 Aug
cache9–130.0016%19 Aug
inferno13–80.0110%18 Aug
mirage8–13-0.0113%18 Aug
nuke11–130.104%16 Aug
mirage13–5-0.0113%16 Aug
dust27–13-0.0426%16 Aug
mirage6–13-0.0517%12 Aug
cache11–130.0117%12 Aug
mirage10–13-0.0416%11 Aug
nuke16–14-0.0410%11 Aug
dust213–9-0.035%11 Aug
cache5–13-0.068%10 Aug
nuke13–70.0410%9 Aug
cache13–5-0.023%9 Aug
anubis8–13-0.094%7 Aug
inferno13–50.072%7 Aug
dust213–80.038%7 Aug
nuke11–13-0.082%6 Aug
mirage13–10-0.049%6 Aug
dust213–110.0111%6 Aug
dust213–110.1013%5 Aug
nuke13–11-0.0414%4 Aug
dust213–3-0.0617%4 Aug
ancient5–13-0.063%3 Aug
inferno6–13-0.073%3 Aug
dust213–90.0511%3 Aug
nuke9–13-0.056%3 Aug
cache12–12-0.057%2 Aug
mirage13–10-0.0617%2 Aug
dust213–100.0110%2 Aug
mirage13–8-0.0323%1 Aug
dust216–130.0314%1 Aug
mirage9–13-0.054%1 Aug
anubis16–14-0.0014%31 Jul
cache13–2-0.0611%31 Jul
nuke13–110.0112%31 Jul
mirage15–15-0.018%30 Jul
inferno6–13-0.0411%30 Jul
vertigo1–6-0.060%30 Jul
cache13–4-0.0116%30 Jul
mirage9–13-0.0410%30 Jul
dust26–13-0.0913%30 Jul
dust214–16-0.0711%29 Jul
mirage7–13-0.0311%29 Jul
mirage13–5-0.075%29 Jul
nuke8–13-0.0717%28 Jul
cache13–10.114%28 Jul
dust28–13-0.0213%28 Jul
mirage12–12-0.0712%27 Jul
cache12–120.0310%27 Jul
anubis13–6-0.027%27 Jul
dust213–8-0.0515%27 Jul
inferno1–8-0.0617%15 Jul
dust212–16-0.064%13 Jul
cache14–160.014%13 Jul
mirage13–160.039%13 Jul
mirage16–14-0.059%12 Jul
cache13–10-0.0210%12 Jul
dust211–13-0.0318%12 Jul
mirage13–9-0.0511%11 Jul
nuke13–90.026%11 Jul
dust213–110.018%11 Jul
cache7–13-0.0113%11 Jul
dust210–13-0.045%11 Jul
office11–4-0.050%10 Jul
dust26–13-0.044%10 Jul
anubis11–13-0.0413%10 Jul
mirage13–16-0.0211%10 Jul
dust211–130.0922%9 Jul
boulder12–12-0.018%9 Jul
dust25–11-0.0319%6 Jul
cache6–13-0.0810%6 Jul
nuke8–130.089%5 Jul
mirage11–13-0.0819%28 Jun
nuke13–80.007%28 Jun
dust211–13-0.0422%28 Jun
nuke11–13-0.027%27 Jun
dust213–10-0.107%26 Jun
mirage13–50.038%26 Jun
nuke13–7-0.055%26 Jun
mirage10–13-0.086%25 Jun
anubis13–5-0.039%25 Jun
cache12–12-0.074%25 Jun
dust212–12-0.0616%25 Jun
mirage7–13-0.0511%24 Jun
dust28–13-0.047%24 Jun
inferno13–11-0.0013%23 Jun
dust213–30.0116%23 Jun
mirage13–6-0.0320%23 Jun
mirage1–9-0.036%23 Jun

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 →