Tungdil

Tungdil — CS2 Stats

76561198017180491[U:1:56914763]Steam profile ↗✓ No bans

985Tracked matches52%Win rate2024Tracked since
CSDB Rating4.4 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+44Tracked matches · now 985
+9.0ppWin rate · 42.9% → 51.8%

Rating over time

32Days played since 2026-08-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim63
Positioning30
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY39–51–10Last 10039%Win rateLLWWWLWLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · −7ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 545ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 571ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 575ms

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 (+1.8 against its own average).

Aim6.3
Utility1.9
Positioning3.0
Opening Duels0.0
Clutch0.0

Limited utility dependence

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 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 555ms 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

Aim6.3
Positioning3.0
Utility1.9
Mechanics6.8
Opening Duels0.0
Win Impact5.6

Composite 4.4/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time558ms−105ms
first ⅓ avg 663ms → last ⅓ avg 558ms
Headshot accuracy11.0%−1.7%
first ⅓ avg 12.7% → last ⅓ avg 11.0%

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

0.08Best match rating · 11–0 · mirage, 31 Aug →
29%Best headshot accuracy · 13–8 · dust2, 25 Oct →
383msFastest reaction time · 1–13 · office, 8 Oct →
13–0Biggest win · office, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 60% over 10nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
officeB2513–1252%-0.01
dust2D257–1828%-0.04
nukeD112–918%-0.06
mirageA106–460%-0.02
cacheD93–633%-0.03
infernoC73–443%-0.04
ancient—42–250%-0.03
anubis—41–325%0.01
train—31–233%-0.04
vertigo—11–0100%0.04
overpass—10–10%-0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.54Avg K/D
57.6ADR
29%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
31.8%Spray accuracy
80.4%Counter-strafing
8.3°Preaim
555msReaction time
21.8%T opening success
23.0%CT opening success
0.23Enemies flashed / flash
0.7%Flash assists
8.20HE damage / grenade
0.71Flashes / 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 11.2267% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2254 — below the 0.5 mark we flag

    Grenade Lineups →
  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 21.831% — below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office6–13-0.066%30 Oct →
inferno0–13-0.0510%30 Oct →
cache13–6-0.0116%30 Oct →
nuke13–10.0413%30 Oct →
office13–30.037%30 Oct →
dust26–13-0.064%30 Oct →
office13–20.0416%29 Oct →
ancient9–13-0.0510%25 Oct →
dust213–7-0.0324%25 Oct →
dust213–8-0.0429%25 Oct →
anubis10–13-0.018%11 Oct →
mirage13–90.0014%11 Oct →
dust213–7-0.0515%11 Oct →
ancient13–90.046%11 Oct →
nuke12–12-0.0411%11 Oct →
office1–13-0.0412%8 Oct →
cache10–13-0.077%8 Oct →
mirage13–10.014%8 Oct →
nuke4–13-0.094%7 Oct →
cache13–5-0.0010%7 Oct →
office6–13-0.049%6 Oct →
ancient13–4-0.0012%6 Oct →
mirage7–130.008%6 Oct →
office10–130.019%4 Oct →
office7–13-0.0413%1 Oct →
dust212–12-0.1010%1 Oct →
cache12–12-0.0312%1 Oct →
office11–13-0.0115%29 Sept →
office2–6-0.050%29 Sept →
dust213–10.0417%29 Sept →
ancient12–12-0.0914%29 Sept →
office2–13-0.046%27 Sept →
dust212–12-0.0513%27 Sept →
dust27–13-0.0310%27 Sept →
inferno9–13-0.0126%23 Sept →
vertigo13–110.0414%22 Sept →
anubis12–12-0.029%22 Sept →
office9–130.0317%20 Sept →
office12–2-0.007%20 Sept →
dust27–130.0016%20 Sept →
cache7–13-0.019%20 Sept →
office13–00.0021%16 Sept →
mirage12–12-0.0511%16 Sept →
dust212–12-0.0213%16 Sept →
office1–13-0.0814%15 Sept →
dust212–12-0.0217%15 Sept →
cache11–13-0.0511%15 Sept →
dust28–13-0.0412%10 Sept →
mirage13–3-0.0516%10 Sept →
office7–13-0.046%8 Sept →
dust211–13-0.0110%8 Sept →
office13–11-0.059%6 Sept →
dust210–13-0.0513%6 Sept →
mirage13–11-0.0022%6 Sept →
dust213–4-0.039%6 Sept →
office13–9-0.0316%2 Sept →
anubis11–130.0519%2 Sept →
nuke11–13-0.0114%2 Sept →
office13–10.020%2 Sept →
office11–13-0.0415%1 Sept →
overpass4–9-0.136%1 Sept →
nuke1–9-0.2429%1 Sept →
nuke2–9-0.1413%1 Sept →
inferno5–13-0.086%1 Sept →
office13–50.004%31 Aug →
dust24–13-0.085%31 Aug →
inferno13–70.0116%31 Aug →
dust23–13-0.0610%31 Aug →
mirage11–00.085%31 Aug →
dust211–130.0110%30 Aug →
nuke2–13-0.1213%30 Aug →
anubis13–70.037%30 Aug →
office13–20.0415%28 Aug →
nuke13–60.0321%28 Aug →
nuke7–13-0.0522%28 Aug →
mirage8–13-0.1016%28 Aug →
cache12–12-0.036%27 Aug →
cache13–8-0.0213%27 Aug →
nuke9–130.0115%27 Aug →
office7–13-0.0116%25 Aug →
mirage13–10-0.0416%25 Aug →
dust25–13-0.0122%25 Aug →
dust20–13-0.107%23 Aug →
cache8–13-0.0211%23 Aug →
dust24–13-0.129%23 Aug →
office13–50.0315%21 Aug →
dust211–13-0.029%21 Aug →
inferno13–2-0.0019%21 Aug →
dust213–30.0410%21 Aug →
dust27–13-0.0413%18 Aug →
mirage11–13-0.0710%18 Aug →
train13–60.0117%16 Aug →
train10–13-0.068%16 Aug →
train3–13-0.089%16 Aug →
nuke5–9-0.0612%16 Aug →
inferno2–9-0.1211%16 Aug →
office13–70.0712%13 Aug →
inferno13–11-0.057%13 Aug →
office13–60.0115%12 Aug →
dust213–11-0.0217%12 Aug →

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 →

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