tomppa

tomppa — CS2 Stats

76561197996285590[U:1:36019862]Steam profile ↗✓ No bans

1,532Tracked matches43%Win rate2020Tracked since
CSDB Rating4.9 DevelopingAll-Rounder
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,532 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 27 Feb 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,875 +290 19 Nov10 Jan · 17 days played
20,41822,839peak 22,83919 Nov10 Jan
23,208Peak Premier in tracked matches
39Days played since 2025-02-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGtomppaFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning50
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLWWLLWLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +3.8pp headshot accuracy · −19ms reaction

Win rate down 20pp 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 592ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 649ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 659ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.9
Utility5.4
Positioning5.0
Opening Duels2.7
Clutch5.4

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

NiKo

Plays most like NiKo 84% 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. 636ms 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

Aim5.9
Positioning5.0
Utility5.4
Mechanics6.2
Opening Duels1.4
Win Impact2.8

Composite 4.9/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time647ms+10ms
first ⅓ avg 637ms → last ⅓ avg 647ms
Headshot accuracy19.8%−2.5%
first ⅓ avg 22.3% → last ⅓ avg 19.8%

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 · 13–8 · mirage, 13 Oct
58%Best headshot accuracy · 13–6 · train, 30 Nov
422msFastest reaction time · 13–10 · inferno, 28 Jan
13–1Biggest win · nuke, 26 Dec

Across the last 100 tracked matches.

Highlights

5Longest win streak
77In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 70% over 27dust2Weakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
mirageS2719870%0.01
dust2D2481633%-0.02
infernoA138562%-0.00
overpassC114736%-0.01
nukeB105550%0.02
ancientB84450%-0.01
trainB63350%-0.00
cache1010%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,743Matches
50%Win rate
1.05Avg K/D
77.2ADR
40%Headshot %

Clutches & streaks

47%1v1 clutch win
12%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1173%0.9816.8
Nuke1060%0.8913.4
Dust2922%0.9814.7
Inferno540%0.9115.6
Ancient425%0.8915.0
Anubis10%0.6513.0

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.

19.8%Headshot accuracy
30.2%Accuracy (enemy spotted)
31.2%Spray accuracy
78.1%Counter-strafing
8.4°Preaim
636msReaction time
32.4%T opening success
39.0%CT opening success
0.59Enemies flashed / flash
4.5%Flash assists
8.51HE damage / grenade
7.38Flashes / 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 32.3802% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0412%10 Aug
mirage13–60.0329%10 Aug
inferno13–80.0824%7 Jun
ancient10–130.0420%8 Mar
dust27–130.0023%8 Mar
inferno13–6-0.0215%19 Feb
overpass6–13-0.0619%28 Jan
inferno13–10-0.0227%28 Jan
mirage4–13-0.0417%25 Jan
nuke9–13-0.0118%25 Jan
mirage16–140.0216%24 Jan
dust21–13-0.0415%24 Jan
dust22–13-0.1116%22 Jan
mirage13–7-0.018%22 Jan
dust216–12-0.0116%22 Jan
ancient10–13-0.0126%10 Jan
inferno13–70.0525%10 Jan
mirage13–60.0217%10 Jan
train6–13-0.0414%10 Jan
mirage13–10-0.0113%7 Jan
dust213–8-0.0118%6 Jan
mirage9–130.0716%6 Jan
dust29–13-0.0225%4 Jan
inferno6–13-0.0427%4 Jan
dust213–110.0526%3 Jan
train5–13-0.0917%3 Jan
dust213–30.0120%3 Jan
mirage10–130.0425%1 Jan
overpass4–13-0.0740%1 Jan
inferno5–13-0.089%1 Jan
mirage10–13-0.0324%27 Dec
overpass13–80.0420%27 Dec
inferno16–12-0.0116%27 Dec
dust29–13-0.0415%27 Dec
nuke13–10-0.0038%27 Dec
ancient5–13-0.0017%27 Dec
mirage13–110.0320%27 Dec
overpass16–140.0619%27 Dec
inferno11–130.0112%27 Dec
dust213–80.0324%27 Dec
ancient13–9-0.0715%27 Dec
mirage13–6-0.0420%27 Dec
overpass13–90.0314%27 Dec
nuke13–50.0130%27 Dec
mirage4–13-0.0419%27 Dec
train16–130.0828%27 Dec
dust211–13-0.0713%27 Dec
inferno13–70.0827%27 Dec
nuke13–10.1023%26 Dec
mirage6–13-0.0426%26 Dec
ancient13–60.0216%26 Dec
overpass9–13-0.038%26 Dec
dust25–13-0.0413%26 Dec
dust23–13-0.0636%26 Dec
overpass13–50.0320%26 Dec
overpass13–16-0.0018%21 Dec
mirage13–10-0.0413%21 Dec
mirage13–16-0.0318%18 Dec
train11–130.0118%18 Dec
mirage13–7-0.0515%4 Dec
nuke11–13-0.0220%3 Dec
ancient13–10-0.0121%30 Nov
inferno13–8-0.0428%30 Nov
dust213–1-0.0123%30 Nov
train13–6-0.0158%30 Nov
mirage13–60.1118%30 Nov
inferno12–16-0.0411%30 Nov
dust29–130.0114%29 Nov
nuke5–130.0223%29 Nov
mirage13–4-0.0219%29 Nov
mirage13–30.0220%28 Nov
dust211–13-0.0729%28 Nov
dust213–11-0.0334%27 Nov
overpass5–13-0.0624%27 Nov
overpass10–130.0520%20 Nov
dust27–13-0.0641%20 Nov
mirage13–80.0423%19 Nov
ancient13–6-0.0317%19 Nov
dust29–130.0617%19 Nov
train13–60.0338%15 Nov
nuke13–70.0320%27 Oct
dust26–13-0.0419%27 Oct
inferno13–60.0621%27 Oct
mirage13–110.0620%26 Oct
mirage13–110.0225%26 Oct
overpass14–16-0.0320%26 Oct
mirage13–6-0.0112%25 Oct
nuke13–80.0120%23 Oct
mirage16–130.0013%23 Oct
dust213–160.0122%13 Oct
mirage13–80.1221%13 Oct
inferno11–13-0.0434%7 Jul
nuke6–130.0313%7 Jul
mirage15–150.0414%30 Apr
dust213–6-0.0113%21 Apr
mirage13–70.0438%21 Apr
dust26–13-0.0720%6 Apr
ancient5–13-0.0128%7 Mar
dust29–130.0426%4 Mar
nuke9–13-0.0217%27 Feb

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 →