Tomppa

Tomppa — CS2 Stats

76561198185657178[U:1:225391450]Steam profile ↗VAC banned

737Tracked matches57%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating20,570Top 50% of 212,910 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#75497 of 259675 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (9 days ago). 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: 20,570 +571 19 Jul – 25 Oct · 13 days played
19,99921,080peak 21,08019 Jul25 Oct
21,080Peak Premier in tracked matches
32Days played since 2026-07-18

Premier CS Rating

  • 510 below peak (21,080)
  • -131 over 90 days
  • Next: Red band at 25,000 — 4,430 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGTomppaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,570 · Pink 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

Aim57
Positioning55
Utility44

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLLLLWWLTLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −3.5pp headshot accuracy · −25ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 587ms

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 (+2.2 against its own average).

Aim5.7
Utility4.4
Positioning5.5
Opening Duels3.3
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

Twistzz

Plays most like Twistzz 86% 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

Reaction time. 584ms 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
Positioning5.5
Utility4.4
Mechanics4.7
Opening Duels2.6
Win Impact7.4

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time589ms−38ms
first ⅓ avg 627ms → last ⅓ avg 589ms
Headshot accuracy19.9%+2.1%
first ⅓ avg 17.8% → last ⅓ avg 19.9%

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

0.13Best match rating · 13–4 · fachwerk, 23 Jul →
46%Best headshot accuracy · 10–13 · fachwerk, 10 Aug →
445msFastest reaction time · 2–13 · anubis, 1 Aug →
13–1Biggest win · cache, 21 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
7–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

fachwerkBest map · 67% over 15anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheC219–1243%-0.01
fachwerkS1510–567%0.02
infernoC125–742%-0.02
nukeA106–460%-0.00
anubisD103–730%-0.01
dust2D62–433%-0.03
overpass—40–40%-0.03
ancient—42–250%-0.04
train—40–40%-0.01
mirage—30–30%-0.03
boulder—32–167%0.02
shelter—22–0100%-0.00
office—21–150%0.03
vertigo—20–20%-0.07
eldorado—10–10%-0.07
poseidon—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

428Matches
51%Win rate
1.02Avg K/D
47.9ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

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.

19.5%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.1%Spray accuracy
71.1%Counter-strafing
10.5°Preaim
584msReaction time
33.7%T opening success
47.5%CT opening success
0.44Enemies flashed / flash
3.2%Flash assists
12.44HE damage / grenade
3.28Flashes / 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. 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 0.4447 — below the 0.5 mark we flag

    Grenade Lineups →
  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 33.7207% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0313%25 Oct →
nuke10–130.0522%25 Oct →
mirage7–13-0.005%17 Oct →
cache8–13-0.076%17 Oct →
nuke16–140.0323%11 Oct →
cache13–8-0.0112%11 Oct →
cache8–13-0.0524%18 Sept →
cache12–120.018%17 Sept →
overpass2–13-0.0224%10 Sept →
fachwerk13–11-0.0125%10 Sept →
anubis10–13-0.019%7 Sept →
nuke13–11-0.0313%7 Sept →
nuke7–13-0.0532%29 Aug →
anubis13–5-0.0311%29 Aug →
cache13–90.0119%25 Aug →
inferno2–13-0.0616%24 Aug →
boulder13–5-0.0116%20 Aug →
cache13–8-0.0321%20 Aug →
fachwerk13–6-0.0134%20 Aug →
fachwerk12–120.0226%17 Aug →
ancient13–100.0219%15 Aug →
fachwerk13–70.0217%15 Aug →
fachwerk13–110.0517%15 Aug →
fachwerk13–50.0331%14 Aug →
inferno16–14-0.0710%10 Aug →
fachwerk10–13-0.0146%10 Aug →
fachwerk13–6-0.0232%9 Aug →
cache13–8-0.0217%8 Aug →
eldorado5–9-0.0711%6 Aug →
poseidon6–9-0.0039%6 Aug →
cache7–13-0.0616%6 Aug →
train7–13-0.0025%6 Aug →
dust213–110.0018%5 Aug →
inferno9–130.0417%5 Aug →
anubis13–60.0622%5 Aug →
inferno3–13-0.059%5 Aug →
train10–13-0.0326%4 Aug →
cache13–4-0.0525%4 Aug →
mirage8–13-0.0424%4 Aug →
anubis10–130.0017%4 Aug →
inferno11–130.0422%1 Aug →
cache5–13-0.1010%1 Aug →
anubis2–13-0.0733%1 Aug →
anubis10–13-0.0414%31 Jul →
nuke13–10-0.0520%31 Jul →
shelter13–2-0.0319%31 Jul →
cache6–13-0.0426%31 Jul →
fachwerk13–100.0126%31 Jul →
ancient4–13-0.0916%31 Jul →
inferno11–13-0.048%31 Jul →
office10–13-0.0221%30 Jul →
fachwerk13–70.0530%30 Jul →
overpass10–130.0218%30 Jul →
train12–120.0115%27 Jul →
inferno12–12-0.0115%26 Jul →
dust27–13-0.0920%25 Jul →
cache8–13-0.0023%25 Jul →
inferno13–20.0317%25 Jul →
cache13–110.0311%24 Jul →
nuke13–6-0.0514%24 Jul →
dust21–13-0.0013%24 Jul →
cache8–13-0.0416%24 Jul →
anubis6–13-0.0320%24 Jul →
office13–30.0912%24 Jul →
fachwerk13–50.0326%24 Jul →
boulder13–50.1023%23 Jul →
nuke13–30.0523%23 Jul →
fachwerk13–40.1319%23 Jul →
fachwerk12–120.0213%21 Jul →
nuke4–13-0.0518%21 Jul →
cache13–10.0319%21 Jul →
nuke13–80.0327%21 Jul →
overpass3–9-0.0711%21 Jul →
ancient13–10-0.0611%20 Jul →
inferno13–9-0.0329%20 Jul →
cache3–13-0.0315%20 Jul →
shelter13–50.0216%20 Jul →
cache13–70.1128%20 Jul →
inferno16–13-0.019%19 Jul →
dust212–40.0121%19 Jul →
cache13–50.0418%19 Jul →
nuke11–130.0418%19 Jul →
fachwerk7–13-0.0215%19 Jul →
fachwerk12–120.0412%19 Jul →
inferno13–6-0.007%19 Jul →
vertigo11–13-0.0119%19 Jul →
boulder3–13-0.0338%19 Jul →
cache11–130.0119%19 Jul →
train3–13-0.0326%19 Jul →
anubis8–130.0529%19 Jul →
anubis6–13-0.0816%18 Jul →
vertigo1–13-0.1413%18 Jul →
cache5–13-0.0213%18 Jul →
mirage7–13-0.0624%18 Jul →
anubis13–90.0413%18 Jul →
dust25–13-0.0716%18 Jul →
inferno4–13-0.086%18 Jul →
ancient12–12-0.028%18 Jul →
dust212–12-0.0418%18 Jul →
overpass2–13-0.0625%18 Jul →

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 →

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