TappingTucan

TappingTucan — CS2 Stats

US76561198284928545[U:1:324662817]Steam profile ↗✓ No bans

1,655Tracked matches67%Win rate2020Tracked since
3,190Hours in CS61Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating13,581Blue band · top ~35.9% of ranked players (population est.)
FaceitLevel 9 · 1,334 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 13,581 → 13,581
−604Faceit ELO · 1,938 → 1,334

Rating over time

Premier CS Rating: 13,581 +2,042 26 Sept – 2 Nov · 12 days played
11,53913,581peak 13,58126 Sept2 Nov
13,581Peak Premier in tracked matches
1,938Highest Faceit ELO seen on CSDB
36Days played since 2026-08-28

Faceit ELO

  • 604 below peak (1,938)
  • Next: Level 7 at 1,351 — 17 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

Premier CS Rating

  • At peak — 13,581
  • +1,835 over 30 days · improving
  • Next: Purple band at 15,000 — 1,419 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate38.3%48.2%50.9%12.7% short
Shot accuracy9.2%13.2%13.7%4.5% short
Kill/death ratio0.871.071.090.22 short
Match win rate43.1%46.9%48.4%5.3% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTappingTucanFACEITLevel 9 · 1,334 ELOSTANDINGTop 20.7% of rankedPREMIER13,581 · Blue bandPEAK ELO1,938csdb.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

Aim69
Positioning63
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWLLWLWWWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.7pp headshot accuracy · +43ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 563ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

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 (+1.6 against its own average).

Aim6.9
Utility5.9
Positioning6.3
Opening Duels3.8
Clutch2.6

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9
Positioning6.3
Utility5.9
Mechanics5.3
Opening Duels4.6
Win Impact10.0

Composite 6.1/10 (Solid), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time555ms−15ms
first ⅓ avg 570ms → last ⅓ avg 555ms
Headshot accuracy16.5%+0.3%
first ⅓ avg 16.3% → last ⅓ avg 16.5%

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

0.10Best match rating · 16–12 · cache, 24 Oct →
33%Best headshot accuracy · 13–5 · dust2, 22 Oct →
406msFastest reaction time · 13–10 · mirage, 7 Oct →
13–2Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 64% over 22ancientWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2918–1162%0.00
anubisB2312–1152%0.00
dust2A2214–864%-0.00
ancientB157–847%0.01
nuke—43–175%0.02
inferno—42–250%0.01
cache—22–0100%0.08
vertigo—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,514Lifetime kills
0.87K/D
3,385Matches
43.1%Match win rate
38.3%Headshot %
9.2%Shot accuracy
7,304MVPs
2,001Hours (in match)
2,962Bombs planted
999Bombs defused

Most-used weapons

AK-4716,265
AWP6,221
SSG 082,119
MAC-101,908
MP71,233
MP91,132

Lifetime map wins

5,897inferno
5,526dust2
2,339nuke
1,096vertigo
633train
248office
115lake
44cbble

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

Faceit stats

Combat

1,061Matches
50%Win rate
0.97Avg K/D
76.5ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage21652%0.9514.4
Dust219149%0.9514.9
Anubis10852%0.9714.9
Ancient9449%0.9515.4
Inferno5450%1.0114.8
Nuke2850%0.7712.5
Overpass2548%1.0215.4
Cache2576%1.1115.8

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.

16.6%Headshot accuracy
35.4%Accuracy (enemy spotted)
35.4%Spray accuracy
74.0%Counter-strafing
9.2°Preaim
550msReaction time
40.4%T opening success
56.8%CT opening success
0.58Enemies flashed / flash
7.4%Flash assists
7.32HE damage / grenade
9.47Flashes / match

Recommended for you

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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0214%3 Nov →
anubis13–7-0.0022%3 Nov →
dust26–13-0.043%3 Nov →
mirage10–13-0.0510%2 Nov →
mirage13–10-0.0215%2 Nov →
mirage13–16-0.038%2 Nov →
nuke13–50.0822%2 Nov →
dust213–80.0317%2 Nov →
anubis13–90.0213%2 Nov →
ancient5–13-0.0212%2 Nov →
dust213–11-0.0326%2 Nov →
ancient13–110.1018%31 Oct →
ancient13–90.038%31 Oct →
dust28–13-0.0417%31 Oct →
dust213–11-0.0129%31 Oct →
mirage13–40.0221%31 Oct →
anubis16–13-0.0313%31 Oct →
dust213–60.0213%31 Oct →
inferno13–110.0313%30 Oct →
mirage13–11-0.0113%30 Oct →
anubis7–130.0118%29 Oct →
ancient8–13-0.0325%28 Oct →
anubis13–100.0616%27 Oct →
cache13–90.0528%27 Oct →
dust211–13-0.0717%27 Oct →
mirage13–20.0910%26 Oct →
mirage9–13-0.0116%26 Oct →
anubis13–110.0215%25 Oct →
anubis13–50.0528%25 Oct →
cache16–120.1021%24 Oct →
mirage13–100.0114%24 Oct →
dust28–130.0324%23 Oct →
mirage13–70.018%23 Oct →
ancient8–13-0.0116%22 Oct →
dust213–50.0233%22 Oct →
anubis11–13-0.036%22 Oct →
nuke13–80.0428%19 Oct →
dust213–9-0.0712%18 Oct →
ancient19–220.0111%17 Oct →
anubis7–13-0.059%17 Oct →
mirage13–7-0.0014%17 Oct →
ancient13–9-0.0220%17 Oct →
anubis13–70.077%16 Oct →
mirage6–130.0133%16 Oct →
dust210–130.0216%16 Oct →
anubis8–130.0414%15 Oct →
mirage13–100.0223%15 Oct →
ancient14–160.0312%15 Oct →
anubis13–5-0.0112%14 Oct →
mirage13–11-0.0515%14 Oct →
ancient22–190.0114%13 Oct →
mirage13–9-0.027%13 Oct →
dust213–80.0317%13 Oct →
dust25–130.0010%13 Oct →
inferno15–150.0321%12 Oct →
mirage7–130.0315%12 Oct →
ancient13–90.078%12 Oct →
dust213–8-0.0310%12 Oct →
mirage7–130.0215%11 Oct →
anubis10–13-0.0719%11 Oct →
anubis16–14-0.0114%11 Oct →
anubis13–6-0.0410%11 Oct →
ancient6–13-0.0214%10 Oct →
mirage16–140.026%10 Oct →
anubis8–130.078%9 Oct →
mirage10–13-0.019%9 Oct →
anubis6–13-0.0315%8 Oct →
dust22–13-0.0521%8 Oct →
nuke13–4-0.0322%7 Oct →
inferno3–13-0.0012%7 Oct →
mirage13–100.0513%7 Oct →
anubis11–13-0.0616%6 Oct →
mirage13–90.0117%6 Oct →
ancient2–13-0.0823%6 Oct →
ancient13–110.0728%5 Oct →
mirage5–13-0.0311%5 Oct →
dust213–100.0211%5 Oct →
anubis13–9-0.0411%5 Oct →
mirage10–13-0.0326%4 Oct →
ancient13–11-0.0127%4 Oct →
mirage13–90.0614%4 Oct →
dust213–110.0213%3 Oct →
vertigo8–130.0128%2 Oct →
anubis8–13-0.0010%2 Oct →
mirage13–2-0.0217%2 Oct →
mirage4–13-0.048%1 Oct →
anubis13–40.0310%1 Oct →
dust213–60.0418%1 Oct →
dust214–16-0.0210%30 Sept →
mirage13–10-0.0116%29 Sept →
inferno13–8-0.0313%29 Sept →
dust213–40.0422%28 Sept →
dust213–90.0418%28 Sept →
mirage13–70.0123%28 Sept →
mirage16–13-0.0315%27 Sept →
dust213–10-0.0113%27 Sept →
nuke15–150.0013%27 Sept →
ancient14–160.0720%26 Sept →
anubis11–130.0110%26 Sept →
mirage4–13-0.0011%26 Sept →

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 →

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