Ham

Ham — CS2 Stats

BW76561198877079398[U:1:916813670]Steam profile ↗✓ No bans

1,288Tracked matches46%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating12,371Blue band · top ~42.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−359Premier CS Rating · 12,730 → 12,371

Rating over time

Premier CS Rating: 12,371 -1,101 24 Oct – 7 Nov · 9 days played
11,30614,134peak 14,13424 Oct7 Nov
14,656Peak Premier in tracked matches
9Days played since 2026-10-24

Premier CS Rating

  • 1,763 below peak (14,134)
  • Next: Purple band at 15,000 — 2,629 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGHamFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,371 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning54
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLLWWWWTLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −2.8pp headshot accuracy · −45ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 553ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 576ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility5.2
Positioning5.4
Opening Duels1.1

Strong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 566ms 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

Aim5.8
Positioning5.4
Utility5.2
Mechanics5.5
Opening Duels2.7
Win Impact3.8

Composite 4.8/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time568ms−9ms
first ⅓ avg 577ms → last ⅓ avg 568ms
Headshot accuracy17.9%+1.6%
first ⅓ avg 16.2% → last ⅓ avg 17.9%

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.

Personal bests

0.12Best match rating · 13–6 · anubis, 6 Nov →
36%Best headshot accuracy · 13–7 · cache, 5 Nov →
406msFastest reaction time · 11–13 · inferno, 2 Nov →
13–0Biggest win · anubis, 7 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
7–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 56% over 16nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB178–947%-0.02
nukeD175–1229%-0.00
infernoC167–944%-0.03
cacheA169–756%0.00
dust2C146–843%-0.02
anubisA95–456%0.04
ancientA95–456%-0.01
fachwerk—10–10%-0.07
office—10–10%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy
32.6%Accuracy (enemy spotted)
30.7%Spray accuracy
75.0%Counter-strafing
10.2°Preaim
566msReaction time
38.3%T opening success
43.5%CT opening success
0.63Enemies flashed / flash
4.2%Flash assists
9.92HE damage / grenade
6.25Flashes / 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. 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 38.2677% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0711%7 Nov →
dust210–130.0318%7 Nov →
cache8–13-0.0111%7 Nov →
anubis13–00.0922%7 Nov →
anubis13–60.1218%6 Nov →
mirage13–10-0.0328%6 Nov →
cache13–90.0914%6 Nov →
anubis12–120.0913%6 Nov →
anubis5–130.0316%6 Nov →
dust210–13-0.037%6 Nov →
mirage12–12-0.0018%6 Nov →
ancient4–13-0.0512%6 Nov →
cache2–13-0.0218%6 Nov →
dust213–8-0.0515%6 Nov →
dust213–90.0319%6 Nov →
cache13–70.1120%6 Nov →
mirage13–60.0112%6 Nov →
cache13–70.0436%5 Nov →
dust213–90.0524%5 Nov →
nuke13–4-0.0312%5 Nov →
inferno13–30.0020%5 Nov →
inferno6–13-0.0130%5 Nov →
mirage8–13-0.0031%5 Nov →
inferno10–13-0.0511%5 Nov →
mirage3–13-0.1112%5 Nov →
nuke3–13-0.0120%5 Nov →
cache13–16-0.058%5 Nov →
dust27–130.0212%5 Nov →
inferno13–10-0.0312%5 Nov →
ancient9–13-0.0219%3 Nov →
mirage13–80.0718%3 Nov →
mirage13–110.0335%3 Nov →
inferno9–13-0.0319%3 Nov →
nuke8–130.0315%2 Nov →
dust28–13-0.069%2 Nov →
ancient3–13-0.0415%2 Nov →
mirage11–13-0.0717%2 Nov →
nuke13–110.0315%2 Nov →
inferno11–13-0.016%2 Nov →
cache13–160.025%2 Nov →
inferno13–110.0417%1 Nov →
mirage9–130.0610%1 Nov →
nuke13–50.0017%1 Nov →
cache13–9-0.0119%1 Nov →
ancient13–100.0716%1 Nov →
anubis13–80.0220%1 Nov →
inferno5–13-0.0820%1 Nov →
mirage2–00.050%1 Nov →
nuke16–140.0215%1 Nov →
cache13–10-0.0510%1 Nov →
cache13–110.0715%1 Nov →
dust213–10-0.0711%1 Nov →
ancient9–13-0.0117%1 Nov →
fachwerk10–13-0.0728%1 Nov →
nuke4–13-0.0416%1 Nov →
mirage9–13-0.0110%1 Nov →
nuke3–13-0.0510%31 Oct →
inferno13–90.0128%31 Oct →
cache7–13-0.0816%31 Oct →
cache13–9-0.078%31 Oct →
nuke7–13-0.0118%31 Oct →
cache13–7-0.0410%31 Oct →
dust215–15-0.0711%31 Oct →
mirage2–13-0.0617%31 Oct →
dust28–13-0.087%31 Oct →
nuke11–13-0.0327%31 Oct →
ancient12–7-0.0011%31 Oct →
dust23–13-0.0627%31 Oct →
inferno10–13-0.0927%31 Oct →
nuke13–80.0516%31 Oct →
nuke5–130.0711%31 Oct →
nuke14–16-0.0315%31 Oct →
inferno13–20.0026%31 Oct →
office5–130.078%31 Oct →
anubis8–130.009%31 Oct →
cache4–130.0016%31 Oct →
anubis3–130.0216%31 Oct →
nuke8–13-0.0410%31 Oct →
cache13–6-0.0514%31 Oct →
anubis13–10-0.039%31 Oct →
nuke9–130.0412%31 Oct →
ancient13–50.0123%31 Oct →
mirage13–4-0.008%31 Oct →
cache7–130.0610%30 Oct →
inferno10–13-0.0125%30 Oct →
dust210–13-0.0319%30 Oct →
dust213–80.0227%30 Oct →
mirage13–80.0112%30 Oct →
anubis13–110.0128%30 Oct →
nuke5–13-0.0422%30 Oct →
dust213–6-0.0519%30 Oct →
mirage5–13-0.0817%30 Oct →
ancient13–90.029%30 Oct →
inferno16–12-0.029%30 Oct →
nuke11–13-0.0014%24 Oct →
mirage13–3-0.0421%24 Oct →
inferno16–13-0.0117%24 Oct →
inferno6–13-0.094%24 Oct →
ancient13–10-0.0214%24 Oct →
mirage10–13-0.0625%24 Oct →

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 →

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