hamcore — CS2 Stats

76561198137222589[U:1:176956861]

305Tracked matches52%Win rate2021Tracked since
470Hours in CS15Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating14,875Blue band · top ~29.1% of ranked players (population est.)
CSDB Leaderboard#12875 of 19824 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGhamcoreFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,875 · Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning42
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLWWLLLWLWL

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

Player DNA

Aim5.7
Aggression3.6
Utility4.0
Positioning4.2
Opening Duels0.0

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 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 684ms 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

Aim5.7
Positioning4.2
Utility4.0
Mechanics7.7
Opening Duels0.1
Win Impact5.6

Composite 4.6/10 (Developing), 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-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time691ms−70ms
first ⅓ avg 760ms → last ⅓ avg 691ms
Headshot accuracy14.5%−3.0%
first ⅓ avg 17.5% → last ⅓ avg 14.5%

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

0.10Best rating — nuke 13–8
133Biggest win — train
5Longest win streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 58% over 12ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB189950%-0.03
dust2A169756%-0.04
ancientC1661038%-0.05
nukeB126650%-0.02
cacheA127558%-0.05
trainC73443%-0.03
mirageC73443%-0.02
overpassC52340%-0.03
anubis2020%-0.07
vertigo2020%-0.06
italy1010%-0.01
palacio1010%-0.10
golden1010%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,095Lifetime kills
0.62K/D
903Matches
33.4%Match win rate
42.4%Headshot %
11.2%Shot accuracy
927MVPs
285Hours (in match)
640Bombs planted
178Bombs defused

Most-used weapons

Lifetime map wins

895inferno
771dust2
275nuke
237train
125vertigo
39lake
34bank
24cbble

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

Faceit stats

Combat

6Matches
33%Win rate
0.52Avg K/D
ADR
44%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLWLL

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.

14.9%Headshot accuracy
35.1%Accuracy (enemy spotted)
34.2%Spray accuracy
84.5%Counter-strafing
10.5°Preaim
684msReaction time
29.2%T opening success
30.6%CT opening success
0.43Enemies flashed / flash
10.4%Flash assists
12.03HE damage / grenade
4.25Flashes / 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 Crosshair

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

    Headshot accuracy 14.8551% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.434 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.2128% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.0510%27 Aug
dust213–9-0.036%26 Aug
nuke13–10-0.019%25 Aug
inferno5–13-0.0721%25 Aug
ancient5–13-0.0815%23 Aug
anubis10–13-0.0810%23 Aug
train13–30.0226%22 Aug
cache6–13-0.149%22 Aug
cache16–14-0.0615%22 Aug
vertigo7–13-0.0329%22 Aug
ancient8–13-0.0910%21 Aug
train13–50.0317%20 Aug
ancient9–13-0.0713%19 Aug
cache11–13-0.0523%13 Aug
mirage14–16-0.0220%12 Aug
train12–12-0.1012%12 Aug
overpass13–4-0.0118%12 Aug
dust20–13-0.0711%10 Aug
ancient13–9-0.0810%10 Aug
dust213–30.0116%9 Aug
ancient13–9-0.0313%7 Aug
cache11–20.0321%7 Aug
cache13–11-0.0714%31 Jul
inferno4–13-0.0223%31 Jul
nuke13–80.1019%30 Jul
inferno13–8-0.048%29 Jul
nuke13–9-0.054%29 Jul
mirage1–13-0.0816%29 Jul
mirage13–7-0.0124%28 Jul
dust211–13-0.0615%27 Jul
nuke1–13-0.076%24 Jul
nuke3–13-0.0711%22 Jul
nuke3–13-0.116%22 Jul
nuke13–60.0512%21 Jul
dust24–13-0.0915%21 Jul
ancient6–130.0113%20 Jul
inferno13–6-0.028%19 Jul
dust26–13-0.0926%19 Jul
nuke13–5-0.0019%17 Jul
cache13–8-0.0514%16 Jul
cache13–9-0.0717%16 Jul
mirage13–40.0523%16 Jul
nuke10–13-0.0013%14 Jul
cache11–13-0.0315%13 Jul
mirage10–13-0.0316%11 Jul
cache13–8-0.0610%10 Jul
dust25–13-0.0911%10 Jul
cache13–8-0.0119%9 Jul
inferno13–110.079%7 Jul
italy10–13-0.0130%7 Jul
nuke7–13-0.0211%6 Jul
overpass8–130.0226%5 Jul
inferno2–13-0.0710%5 Jul
overpass13–9-0.0415%3 Jul
ancient4–13-0.059%2 Jul
mirage7–13-0.0315%30 Jun
ancient2–13-0.1512%30 Jun
dust213–10-0.0315%29 Jun
nuke13–30.035%29 Jun
dust216–14-0.047%27 Jun
cache9–13-0.067%26 Jun
cache6–130.0216%26 Jun
mirage13–8-0.0514%24 Jun
inferno12–10-0.0427%21 Oct
ancient10–13-0.0511%9 Oct
train1–8-0.0567%8 Oct
ancient12–12-0.0411%6 Oct
palacio5–13-0.106%6 Oct
inferno13–7-0.0210%6 Oct
inferno9–13-0.029%5 Oct
golden11–130.0014%5 Oct
train10–13-0.0517%5 Oct
train9–13-0.0318%3 Oct
inferno13–11-0.079%3 Oct
dust213–4-0.010%3 Oct
dust213–70.0117%2 Oct
inferno1–13-0.0450%27 Sept
dust213–11-0.0424%26 Sept
inferno13–40.0212%26 Sept
inferno13–11-0.0513%24 Sept
ancient1–13-0.1022%24 Sept
overpass10–13-0.0222%24 Sept
dust213–50.0323%23 Sept
nuke6–13-0.0927%23 Sept
overpass5–13-0.0822%22 Sept
inferno8–13-0.0915%22 Sept
vertigo0–13-0.080%22 Sept
ancient13–8-0.0532%22 Sept
train10–00.0123%22 Sept
ancient16–13-0.0020%15 Sept
ancient15–15-0.0616%14 Sept
inferno5–13-0.0311%12 Sept
dust213–6-0.0118%12 Sept
ancient13–60.0313%12 Sept
inferno10–7-0.0121%12 Sept
dust212–12-0.0126%12 Sept
inferno12–12-0.065%11 Sept
ancient7–3-0.0420%11 Sept
inferno9–13-0.0617%11 Sept
dust23–13-0.0724%11 Sept

Match data via Leetify.

Recent teammates

Milestones

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