tmm

tmm — CS2 Stats

DE76561198004336146[U:1:44070418]Steam profile ↗✓ No bans

3,438Tracked matches60%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating28,617Top 1% of 212,695 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)
CSDB Leaderboard#1888 of 259556 tracked
FaceitLevel 10 · 2,765 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 28,617 → 28,617
0Faceit ELO · 2,765 → 2,765
+4Tracked matches · now 3,438
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Premier CS Rating: 28,617 -386 23 Aug – 29 Oct · 17 days played
28,24429,003peak 29,00323 Aug29 Oct
Faceit ELO: 2,765 +0 28 Aug – 29 Oct · 11 observations
2,7652,765peak 2,76528 Aug29 Oct
29,122Peak Premier in tracked matches
2,765Highest Faceit ELO seen on CSDB
27Days played since 2026-08-22

Faceit ELO

  • At peak — 2,765
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 235 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier CS Rating

  • 386 below peak (29,003)
  • -205 over 30 days · steady
  • Next: Gold band at 30,000 — 1,383 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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.GGtmmFACEITLevel 10 · 2,765 ELOSTANDINGTop 12.4% of rankedPREMIER28,617 · Red band30 DAYS0 ELOPEAK ELO2,765csdb.gg/stats

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Performance scores

Aim81
Positioning51
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLLWLWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.1pp headshot accuracy · +8ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 478ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

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: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim8.1
Utility7.2
Positioning5.1
Opening Duels0.0
Clutch4.4

Strong T-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

ropz

Plays most like ropz 70% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 40% on T to 20% on CT — first contacts on the defending side are being lost.

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

Aim8.1
Positioning5.1
Utility7.2
Mechanics5.4
Opening Duels1.2
Win Impact8.3

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time507ms+10ms
first ⅓ avg 497ms → last ⅓ avg 507ms
Headshot accuracy14.0%−1.0%
first ⅓ avg 14.9% → last ⅓ avg 14.0%

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

0.14Best match rating · 11–13 · anubis, 28 Aug →
40%Best headshot accuracy · 6–0 · mirage, 6 Sept →
328msFastest reaction time · 13–5 · dust2, 11 Oct →
13–0Biggest win · cache, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2817–1161%0.00
cacheA2213–959%0.01
anubisB189–950%0.00
dust2C166–1038%-0.00
infernoS96–367%0.02
mirageA53–260%0.02
nuke—20–20%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,056Matches
58%Win rate
1.23Avg K/D
81.4ADR
38%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient18762%1.2715.8
Dust212258%1.1915.8
Anubis8955%1.1715.1
Inferno8961%1.3616.9
Cache8562%1.1615.3
Nuke1450%1.1313.4
Mirage757%1.4520.4
Overpass425%1.0717.0

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.

14.1%Headshot accuracy
40.2%Accuracy (enemy spotted)
45.6%Spray accuracy
74.4%Counter-strafing
9.8°Preaim
505msReaction time
39.8%T opening success
20.1%CT opening success
0.59Enemies flashed / flash
11.1%Flash assists
9.40HE damage / grenade
14.98Flashes / 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 14.1492% — below the 15% mark we flag

    Aim Training →
  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 39.8061% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0226%13 Oct →
anubis10–13-0.0019%13 Oct →
dust213–50.0515%11 Oct →
ancient0–13-0.1011%30 Sept →
ancient13–90.0014%29 Sept →
ancient13–20.0913%29 Sept →
cache13–10-0.049%29 Sept →
cache13–60.0111%29 Sept →
cache6–130.0215%29 Sept →
anubis13–40.0011%27 Sept →
dust216–120.0217%19 Sept →
mirage13–90.0119%14 Sept →
ancient16–140.0115%14 Sept →
ancient7–130.0214%13 Sept →
mirage13–70.0115%12 Sept →
inferno13–10.0818%12 Sept →
cache10–13-0.016%12 Sept →
nuke4–13-0.0715%12 Sept →
anubis11–13-0.0510%12 Sept →
nuke0–13-0.076%12 Sept →
ancient1–13-0.1126%12 Sept →
inferno13–90.026%11 Sept →
ancient22–190.0215%9 Sept →
anubis16–13-0.056%9 Sept →
cache13–10.069%9 Sept →
inferno13–6-0.0015%8 Sept →
ancient13–6-0.0319%8 Sept →
ancient8–13-0.0313%7 Sept →
dust23–13-0.0512%6 Sept →
cache13–00.0422%6 Sept →
anubis13–5-0.006%6 Sept →
anubis8–10.0720%6 Sept →
inferno13–00.0112%6 Sept →
mirage8–13-0.0510%6 Sept →
mirage6–00.1440%6 Sept →
dust24–13-0.0913%6 Sept →
dust24–1-0.0222%6 Sept →
ancient13–10-0.0214%6 Sept →
cache13–40.0616%5 Sept →
anubis13–10-0.0018%5 Sept →
ancient13–10.0510%5 Sept →
cache13–11-0.0017%5 Sept →
ancient14–16-0.0012%5 Sept →
anubis13–6-0.0315%4 Sept →
ancient7–13-0.047%4 Sept →
ancient13–50.0516%4 Sept →
cache13–40.048%2 Sept →
anubis11–13-0.0221%2 Sept →
dust211–130.0522%2 Sept →
ancient13–110.024%2 Sept →
dust210–13-0.0622%1 Sept →
cache13–70.0414%1 Sept →
ancient12–16-0.017%1 Sept →
cache13–11-0.0211%31 Aug →
dust217–19-0.0413%31 Aug →
cache5–130.0125%31 Aug →
ancient13–10-0.0218%31 Aug →
dust216–140.0917%31 Aug →
cache13–90.0215%31 Aug →
ancient13–80.0915%31 Aug →
ancient13–5-0.0621%31 Aug →
anubis10–13-0.0323%30 Aug →
dust210–13-0.0313%30 Aug →
cache7–13-0.0014%30 Aug →
ancient10–13-0.0517%30 Aug →
ancient13–70.0514%30 Aug →
cache5–13-0.0011%30 Aug →
cache13–8-0.035%30 Aug →
dust28–13-0.0326%29 Aug →
cache11–13-0.0215%29 Aug →
anubis19–160.0014%29 Aug →
cache13–60.019%28 Aug →
anubis9–13-0.0214%28 Aug →
inferno4–130.0114%28 Aug →
ancient16–12-0.0525%28 Aug →
inferno5–130.0517%28 Aug →
mirage8–13-0.0425%28 Aug →
anubis11–130.1410%28 Aug →
anubis11–13-0.017%27 Aug →
ancient13–80.0519%27 Aug →
anubis4–13-0.0515%27 Aug →
cache11–130.0521%27 Aug →
dust216–13-0.0118%26 Aug →
cache13–90.0017%26 Aug →
ancient19–170.059%25 Aug →
anubis13–100.0113%25 Aug →
anubis13–1-0.0010%25 Aug →
ancient13–20.0714%25 Aug →
dust210–13-0.0122%25 Aug →
inferno8–13-0.0517%23 Aug →
inferno13–50.059%23 Aug →
dust25–130.008%23 Aug →
inferno13–60.0320%23 Aug →
ancient8–130.0111%23 Aug →
anubis11–130.0916%23 Aug →
ancient5–13-0.0413%23 Aug →
dust25–13-0.0210%23 Aug →
cache11–130.0112%22 Aug →
ancient12–16-0.0011%22 Aug →
dust213–90.0827%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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