Tamppooni

Tamppooni — CS2 Stats

FI76561198053082577[U:1:92816849]Steam profile ↗✓ No bans

834Tracked matches52%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating10,507Blue band · top ~52.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Nov 2025 (296 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.

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. 26 days played since 23 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 10,507 +2,851 9 Nov20 Sept · 11 days played
7,65610,808peak 10,8089 Nov20 Sept
10,808Peak Premier in tracked matches
26Days played since 2025-10-23

Premier CS Rating

  • 301 below peak (10,808)
  • Next: Purple band at 15,000 4,493 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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

Share this profile

CSDB.GGTamppooniFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,507 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning26
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWLLLWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −3.0pp headshot accuracy · −22ms 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 693ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 704ms

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: SupportUtility contribution stands above the rest of this profile (+3.1 against its own average).

Aim3.7
Utility5.9
Positioning2.6
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.

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 714ms 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

Aim3.7
Positioning2.6
Utility5.9
Mechanics5.0
Opening Duels0.5
Win Impact5.6

Composite 3.7/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time721ms+25ms
first ⅓ avg 696ms → last ⅓ avg 721ms
Headshot accuracy13.9%+4.0%
first ⅓ avg 10.0% → last ⅓ avg 13.9%

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

0.08Best match rating · 13–10 · mirage, 9 Nov
26%Best headshot accuracy · 13–6 · mirage, 2 Nov
391msFastest reaction time · 0–13 · anubis, 23 Oct
13–1Biggest win · mirage, 11 Nov

Across the last 100 tracked matches.

Highlights

4Longest win streak
136In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 67% over 9mirageWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
mirageC2381535%-0.04
dust2B179853%-0.04
ancientB168850%-0.04
infernoA106460%-0.04
overpassC104640%-0.04
nukeS96367%-0.05
trainC73443%-0.08
vertigoA53260%-0.06
anubis31233%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Mirage 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.

13.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
35.0%Spray accuracy
72.3%Counter-strafing
10.6°Preaim
714msReaction time
21.8%T opening success
33.8%CT opening success
0.57Enemies flashed / flash
2.0%Flash assists
7.91HE damage / grenade
23.76Flashes / 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 13.5878% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 713.9088ms — above the 700ms mark we flag

    Aim Training
  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 21.7699% — below the 40% mark we flag

Spend your practice time on Mirage

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

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.065%28 Jul
mirage8–13-0.089%28 Jul
ancient11–13-0.0815%10 Apr
vertigo5–13-0.0618%10 Apr
inferno13–7-0.0413%10 Apr
inferno13–30.023%6 Dec
ancient13–8-0.0416%6 Dec
vertigo6–13-0.0918%1 Dec
dust28–13-0.0914%1 Dec
inferno13–7-0.063%1 Dec
mirage7–13-0.0913%1 Dec
train0–13-0.1311%1 Dec
ancient10–13-0.0514%28 Nov
nuke13–2-0.0410%25 Nov
nuke13–9-0.0620%21 Nov
ancient13–10-0.0516%21 Nov
mirage15–15-0.0919%21 Nov
nuke16–14-0.0913%20 Nov
mirage6–13-0.0013%20 Nov
mirage10–130.0616%20 Nov
ancient13–4-0.0010%19 Nov
overpass1–120.0015%19 Nov
mirage13–5-0.0322%19 Nov
inferno10–13-0.0711%18 Nov
mirage6–13-0.0814%18 Nov
overpass13–110.0515%18 Nov
overpass13–8-0.0513%17 Nov
dust213–110.0110%17 Nov
dust23–13-0.0910%17 Nov
mirage13–7-0.0322%17 Nov
dust213–110.0123%17 Nov
ancient13–10-0.0311%17 Nov
overpass10–13-0.0824%17 Nov
overpass13–60.0617%17 Nov
overpass4–13-0.089%16 Nov
train13–7-0.0519%15 Nov
ancient5–13-0.127%15 Nov
vertigo13–7-0.0222%15 Nov
mirage4–13-0.0714%15 Nov
nuke13–11-0.0510%15 Nov
nuke8–13-0.019%15 Nov
dust26–13-0.0313%15 Nov
dust216–14-0.0011%11 Nov
mirage13–10.0126%11 Nov
ancient15–15-0.044%11 Nov
dust216–13-0.0213%11 Nov
dust213–9-0.043%11 Nov
mirage13–100.0813%9 Nov
ancient11–13-0.055%8 Nov
train13–3-0.025%8 Nov
mirage13–11-0.079%8 Nov
dust213–1-0.0410%8 Nov
overpass11–13-0.0710%8 Nov
ancient16–130.069%8 Nov
mirage13–8-0.0413%8 Nov
inferno13–40.0311%8 Nov
dust213–110.0213%8 Nov
inferno8–13-0.0515%8 Nov
ancient7–130.0213%8 Nov
dust26–13-0.0918%8 Nov
train10–13-0.098%7 Nov
mirage2–13-0.043%7 Nov
ancient11–13-0.0412%7 Nov
overpass10–13-0.0618%6 Nov
train13–11-0.116%5 Nov
inferno9–13-0.0721%5 Nov
mirage9–130.0120%3 Nov
dust27–13-0.0314%3 Nov
ancient13–11-0.0311%3 Nov
nuke13–3-0.028%3 Nov
dust213–8-0.098%2 Nov
mirage8–13-0.072%2 Nov
vertigo13–11-0.036%2 Nov
nuke13–20.0012%2 Nov
anubis13–70.0113%2 Nov
overpass13–8-0.087%2 Nov
nuke4–13-0.0319%2 Nov
mirage13–6-0.0326%2 Nov
ancient3–13-0.023%2 Nov
ancient13–8-0.0511%2 Nov
mirage9–13-0.103%1 Nov
dust213–2-0.039%1 Nov
inferno13–11-0.0813%31 Oct
dust212–12-0.007%31 Oct
mirage11–13-0.052%31 Oct
dust25–13-0.055%29 Oct
inferno10–13-0.055%29 Oct
mirage4–13-0.086%29 Oct
dust26–13-0.094%29 Oct
inferno13–5-0.0415%29 Oct
mirage7–13-0.1013%29 Oct
overpass14–16-0.049%29 Oct
mirage6–130.0415%29 Oct
nuke7–13-0.166%27 Oct
anubis9–13-0.0814%27 Oct
vertigo13–8-0.1012%27 Oct
train7–13-0.1011%27 Oct
anubis0–13-0.0724%23 Oct
train8–13-0.0710%23 Oct
mirage13–11-0.086%23 Oct

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 →