Tammos

Tammos — CS2 Stats

DE76561198252083776[U:1:291818048]Steam profile ↗✓ No bans

2,592Tracked matches44%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,592 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,104 +3,597 13 Sept – 6 Dec · 7 days played
19,50723,807peak 23,80713 Sept6 Dec
23,870Peak Premier in tracked matches
47Days played since 2024-09-01

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

Share this profile

CSDB.GGTammosFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim66
Positioning63
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLWWLLLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.7pp headshot accuracy · −48ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

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).

Aim6.6
Utility4.6
Positioning6.3
Opening Duels4.7
Clutch3.2

Effective flashes

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

ZywOo

Plays most like ZywOo 86% 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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim6.6
Positioning6.3
Utility4.6
Mechanics6.6
Opening Duels4.0
Win Impact3.1

Composite 5.6/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time603ms+13ms
first ⅓ avg 591ms → last ⅓ avg 603ms
Headshot accuracy17.7%−1.0%
first ⅓ avg 18.7% → last ⅓ avg 17.7%

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

0.22Best match rating · 9–1 · inferno, 13 Oct →
53%Best headshot accuracy · 13–3 · mirage, 7 Jan →
391msFastest reaction time · 5–9 · vertigo, 13 Oct →
13–0Biggest win · train, 4 Jul →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 62% over 13mirageWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.00
ancientA1810–856%0.02
anubisB136–746%0.02
infernoA138–562%0.03
trainA95–456%0.02
dust2A74–357%0.03
vertigoA74–357%-0.01
cache—42–250%0.01
nuke—43–175%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,886Matches
52%Win rate
1.07Avg K/D
76.5ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis10559%1.1216.4
Vertigo9162%1.0816.2
Ancient8552%1.0415.4
Mirage7336%0.9514.8
Nuke3043%0.9514.7
Inferno1553%0.8312.0
Dust21346%0.9614.6
Overpass956%1.0815.8

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.

17.0%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.0%Spray accuracy
79.5%Counter-strafing
8.2°Preaim
594msReaction time
37.4%T opening success
54.6%CT opening success
0.70Enemies flashed / flash
9.1%Flash assists
11.98HE damage / grenade
6.68Flashes / 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 37.3936% — 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.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0622%8 Jun →
cache13–50.0229%4 May →
cache9–130.0220%4 May →
cache13–30.0819%3 May →
dust213–60.0625%25 Apr →
anubis2–13-0.0518%25 Apr →
mirage3–130.049%19 Apr →
anubis10–13-0.0213%19 Apr →
mirage13–9-0.0214%17 Apr →
ancient13–16-0.0014%17 Apr →
anubis6–130.1114%14 Apr →
inferno13–5-0.035%14 Apr →
inferno10–13-0.023%12 Apr →
ancient5–13-0.0413%12 Apr →
ancient13–80.0617%3 Apr →
mirage12–12-0.0625%2 Apr →
mirage9–13-0.0516%7 Aug →
inferno13–50.0424%7 Aug →
mirage9–130.0118%7 Aug →
inferno13–80.0219%6 Aug →
ancient4–13-0.0228%6 Aug →
ancient12–120.0225%5 Aug →
mirage13–60.0615%5 Aug →
ancient12–12-0.0221%4 Aug →
mirage6–13-0.0112%4 Aug →
ancient13–50.0017%4 Aug →
train11–130.0116%4 Aug →
mirage13–7-0.0013%20 Jul →
train8–13-0.0516%20 Jul →
ancient13–10-0.0012%20 Jul →
dust213–90.1026%14 Jul →
mirage11–130.0418%14 Jul →
anubis13–11-0.0328%6 Jul →
ancient9–130.0723%6 Jul →
mirage13–70.0214%6 Jul →
inferno13–40.0422%5 Jul →
train13–30.0614%5 Jul →
inferno10–13-0.0222%4 Jul →
train13–00.0718%4 Jul →
inferno2–13-0.0711%3 Jul →
mirage1–13-0.106%3 Jul →
mirage8–13-0.0610%28 Jan →
mirage13–30.0253%7 Jan →
train5–13-0.0424%7 Jan →
dust213–70.0431%25 Dec →
nuke13–60.0730%25 Dec →
dust29–13-0.0116%19 Dec →
dust211–13-0.0118%19 Dec →
anubis6–13-0.0413%6 Dec →
ancient13–80.0123%6 Dec →
train13–8-0.0320%14 Nov →
train3–130.0135%14 Nov →
train13–40.1343%14 Nov →
train13–70.0426%14 Nov →
ancient13–9-0.0121%16 Oct →
anubis12–12-0.0219%16 Oct →
vertigo5–9-0.069%13 Oct →
inferno9–10.2231%13 Oct →
inferno9–40.1320%13 Oct →
inferno9–13-0.0412%11 Oct →
dust21–13-0.1422%11 Oct →
mirage10–130.0326%11 Oct →
anubis13–110.1131%10 Oct →
dust213–40.1624%10 Oct →
inferno13–80.0217%10 Oct →
anubis13–70.0913%9 Oct →
mirage13–20.0415%9 Oct →
ancient13–20.1429%9 Oct →
vertigo15–150.0015%8 Oct →
mirage9–130.0424%8 Oct →
ancient13–20.0945%8 Oct →
mirage13–50.0126%8 Oct →
mirage8–130.0119%7 Oct →
vertigo13–8-0.085%7 Oct →
nuke9–50.0310%7 Oct →
mirage13–40.0118%6 Oct →
inferno7–9-0.0328%6 Oct →
anubis13–80.0216%5 Oct →
vertigo9–13-0.0115%5 Oct →
anubis13–10.0636%5 Oct →
vertigo13–90.0613%3 Oct →
ancient10–130.0118%3 Oct →
inferno9–40.1715%2 Oct →
anubis9–130.0416%30 Sept →
ancient16–140.0311%25 Sept →
anubis10–13-0.045%25 Sept →
mirage14–16-0.0414%25 Sept →
mirage13–00.0822%22 Sept →
mirage6–13-0.0217%16 Sept →
nuke11–13-0.0518%15 Sept →
ancient13–4-0.0621%15 Sept →
mirage13–11-0.0017%13 Sept →
ancient9–130.0425%13 Sept →
vertigo13–11-0.0214%13 Sept →
anubis16–14-0.0119%11 Sept →
mirage9–13-0.0329%11 Sept →
mirage9–130.0410%9 Sept →
vertigo13–90.0128%8 Sept →
nuke13–90.0210%8 Sept →
ancient13–40.0810%1 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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