Zamhall Tompa ♿

Zamhall Tompa ♿ — CS2 Stats

SE76561199212657923[U:1:1252392195]Steam profile ↗✓ No bans

684Tracked matches66%Win rate2021Tracked since
1,643Hours in CS17Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating19,519Top 50% of 205,052 CSDB-tracked playersPurple band · top ~10.4% of ranked players (population est.)
CSDB Leaderboard#89670 of 252242 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,519 +6,084 29 Apr – 15 Oct · 18 days played
10,20119,519peak 19,51929 Apr15 Oct
19,519Peak Premier in tracked matches
31Days played since 2026-02-05

Premier CS Rating

  • At peak — 19,519
  • Next: Pink band at 20,000 — 481 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,250), 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 rate39.2%41.8%42.7%3.5% short
Shot accuracy8.0%12.2%11.3%3.3% short
Kill/death ratio0.930.980.990.07 short
Match win rate46.2%43.3%43.9%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

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.GGZamhall Tompa ♿FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,519 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim45
Positioning56
Utility13

0–100 skill scores via Leetify.

Recent form

HOT54–42–4Last 10054%Win rateWTWLWWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · +139ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 581ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 511ms

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 (+3.2 against its own average).

Aim4.5
Utility1.3
Positioning5.6
Opening Duels2.9
Clutch0.0

Limited utility dependence

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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 50% 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

Aim4.5
Positioning5.6
Utility1.3
Mechanics0.0
Opening Duels3.6
Win Impact10.0

Composite 4.0/10 (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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time542ms−27ms
first ⅓ avg 570ms → last ⅓ avg 542ms
Headshot accuracy12.3%+0.2%
first ⅓ avg 12.1% → last ⅓ avg 12.3%

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.

Personal bests

0.17Best match rating · 13–0 · anubis, 29 Jun →
50%Best headshot accuracy · 7–1 · inferno, 12 Jun →
313msFastest reaction time · 3–3 · dust2, 13 Oct →
13–0Biggest win · anubis, 29 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 71% over 7ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%-0.01
anubisA1710–759%0.00
dust2C167–944%-0.03
ancientC145–936%-0.01
mirageB137–654%0.01
infernoS96–367%-0.04
cacheS75–271%-0.01
overpass—33–0100%0.03
vertigo—22–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,004Lifetime kills
0.93K/D
1,810Matches
46.2%Match win rate · Top 50% of Level 3 players
39.2%Headshot %
8.0%Shot accuracy
4,202MVPs
682Hours (in match)
931Bombs planted
368Bombs defused

Most-used weapons

Lifetime map wins

3,341dust2
2,267nuke
1,909inferno
1,396vertigo
643train
503office
8ar_shoots
4cbble

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

Faceit stats

Combat

33Matches
30%Win rate
0.78Avg K/D
37.0ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%0.7913.9
Inferno617%0.7810.7
Nuke650%0.8314.5
Dust2520%1.0211.2
Anubis30%0.519.3
Vertigo30%0.396.3
Ancient10%0.7512.0

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.

12.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
39.2%Spray accuracy
50.1%Counter-strafing
9.3°Preaim
536msReaction time
48.6%T opening success
40.1%CT opening success
0.25Enemies flashed / flash
0.0%Flash assists
4.80HE damage / grenade
2.02Flashes / 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 12.2328% — 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 0.251 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0013%15 Oct →
cache15–150.0215%15 Oct →
nuke13–6-0.0010%15 Oct →
cache4–13-0.0511%15 Oct →
cache13–100.0215%15 Oct →
nuke13–40.0410%14 Oct →
ancient13–80.0114%14 Oct →
cache13–10.0115%14 Oct →
dust213–10-0.0316%14 Oct →
mirage13–2-0.0216%14 Oct →
cache13–50.0411%14 Oct →
cache13–9-0.026%14 Oct →
anubis13–100.0415%14 Oct →
inferno10–13-0.1014%14 Oct →
anubis13–50.020%14 Oct →
ancient7–130.0213%14 Oct →
inferno13–10-0.079%14 Oct →
anubis16–13-0.0514%13 Oct →
dust213–11-0.036%13 Oct →
dust23–30.0029%13 Oct →
mirage6–13-0.0114%13 Oct →
mirage13–70.0012%13 Oct →
anubis13–90.0816%15 Jul →
nuke8–13-0.028%2 Jul →
ancient4–13-0.0311%2 Jul →
nuke9–13-0.0211%2 Jul →
anubis2–130.0415%2 Jul →
inferno4–130.0315%1 Jul →
nuke13–90.0215%29 Jun →
ancient16–140.0411%29 Jun →
anubis13–00.174%29 Jun →
ancient13–80.029%29 Jun →
inferno13–30.0214%27 Jun →
mirage13–80.0111%27 Jun →
anubis9–13-0.0811%25 Jun →
mirage13–40.035%25 Jun →
anubis13–10-0.0416%25 Jun →
dust213–7-0.0315%25 Jun →
nuke4–130.0012%24 Jun →
ancient7–13-0.0110%24 Jun →
nuke13–0-0.0416%23 Jun →
anubis10–13-0.0514%23 Jun →
ancient13–110.0213%18 Jun →
nuke13–7-0.0410%18 Jun →
ancient6–130.009%18 Jun →
ancient6–130.0520%18 Jun →
inferno7–1-0.0250%12 Jun →
dust24–13-0.1119%11 Jun →
dust29–13-0.0220%10 Jun →
anubis13–6-0.0511%10 Jun →
vertigo13–3-0.090%10 Jun →
dust29–13-0.0113%10 Jun →
mirage12–12-0.0121%10 Jun →
cache13–7-0.0712%8 Jun →
inferno13–9-0.1119%8 Jun →
vertigo13–40.0016%8 Jun →
dust211–13-0.0312%4 Jun →
nuke13–8-0.0232%4 Jun →
nuke13–4-0.0115%4 Jun →
dust25–13-0.026%3 Jun →
nuke6–13-0.0313%3 Jun →
nuke1–7-0.046%1 Jun →
nuke7–130.0115%1 Jun →
nuke13–110.0811%9 May →
mirage10–130.078%9 May →
anubis13–00.088%9 May →
dust213–80.0414%9 May →
overpass13–90.0116%9 May →
mirage13–20.0821%9 May →
overpass13–70.1112%9 May →
mirage9–130.008%9 May →
nuke6–130.0012%9 May →
ancient11–13-0.0110%9 May →
anubis16–12-0.059%5 May →
ancient5–13-0.0911%5 May →
nuke11–13-0.0612%5 May →
ancient13–5-0.026%4 May →
mirage9–13-0.0110%4 May →
ancient5–13-0.0724%29 Apr →
inferno13–4-0.053%29 Apr →
anubis13–110.0312%29 Apr →
dust213–10-0.0526%29 Apr →
mirage7–13-0.0411%22 Apr →
nuke13–11-0.056%22 Apr →
dust22–13-0.098%22 Apr →
dust28–13-0.0218%27 Mar →
overpass13–3-0.0317%27 Mar →
mirage13–50.0418%27 Mar →
inferno6–13-0.0330%26 Mar →
mirage13–10-0.0311%25 Mar →
dust213–7-0.0814%25 Mar →
anubis12–12-0.0213%25 Mar →
nuke12–12-0.003%25 Mar →
nuke4–130.034%15 Feb →
dust25–13-0.0211%15 Feb →
dust213–50.039%14 Feb →
anubis3–13-0.0310%14 Feb →
ancient11–13-0.0412%13 Feb →
anubis0–20.000%13 Feb →
anubis8–13-0.0415%5 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.