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Tilhelm Well — CS2 Stats

76561198324333094[U:1:364067366]

2,086Tracked matches42%Win rate2020Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating13,776Blue band · top ~34.9% of ranked players (population est.)
CSDB Leaderboard#24295 of 37298 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGTilhelm WellFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER13,776 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning48
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLTWWLLTWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2
Aggression4.6
Utility3.6
Positioning4.8
Opening Duels2.4
Clutch5.2

Strong CT-side openerLimited 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.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; 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

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

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim7.2
Positioning4.8
Utility3.6
Mechanics8.1
Opening Duels2.4
Win Impact2.4

Composite 5.1/10 (Developing), 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-0.00−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time551ms−70ms
first ⅓ avg 622ms → last ⅓ avg 551ms
Headshot accuracy11.2%−1.0%
first ⅓ avg 12.2% → last ⅓ avg 11.2%

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.

Highlights

0.15Best rating — mirage 4–0
13–1Biggest win — nuke
6Longest win streak
5–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 63% over 16infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%0.01
ancientC167–944%-0.00
nukeA1610–663%0.03
mirageA148–657%0.03
anubisA148–657%0.02
infernoC83–538%-0.00
cacheA53–260%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

590Matches
53%Win rate
1.11Avg K/D
82.9ADR
36%Headshot %

Clutches & streaks

46%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22952%1.1914.9
Ancient2552%1.4518.6
Anubis2361%1.3017.2
Nuke1567%1.6117.6
Inferno1527%1.0312.5
Mirage1250%1.1214.4
Overpass367%1.5321.3
Vertigo250%1.6823.0

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.

11.5%Headshot accuracy
36.5%Accuracy (enemy spotted)
34.1%Spray accuracy
86.5%Counter-strafing
8.9°Preaim
558msReaction time
29.7%T opening success
49.5%CT opening success
0.57Enemies flashed / flash
1.3%Flash assists
3.57HE damage / grenade
4.70Flashes / 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 11.5063% — 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 29.6604% — below the 40% mark we flag

Spend your practice time on Inferno

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 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.050%29 Aug →
dust215–150.0112%29 Aug →
dust213–80.0311%29 Aug →
ancient13–8-0.0010%29 Aug →
nuke4–13-0.096%27 Aug →
ancient8–130.008%27 Aug →
mirage15–15-0.0219%27 Aug →
cache13–80.0715%27 Aug →
cache14–16-0.0313%25 Aug →
dust213–40.0714%25 Aug →
anubis13–40.0611%25 Aug →
mirage2–9-0.090%25 Aug →
inferno7–13-0.078%25 Aug →
dust28–13-0.0113%25 Aug →
ancient13–40.0611%24 Aug →
nuke13–60.0313%24 Aug →
ancient4–13-0.079%24 Aug →
dust28–13-0.0518%24 Aug →
anubis12–4-0.007%24 Aug →
mirage15–150.0210%23 Aug →
ancient11–130.039%23 Aug →
dust210–130.0114%23 Aug →
ancient6–13-0.027%23 Aug →
mirage4–00.1513%23 Aug →
cache15–150.0412%23 Aug →
dust216–14-0.0413%23 Aug →
ancient7–13-0.0614%23 Aug →
mirage13–110.0616%22 Aug →
inferno0–13-0.1013%22 Aug →
ancient8–13-0.0215%22 Aug →
dust215–150.0212%20 Aug →
inferno6–13-0.0716%19 Aug →
mirage6–13-0.009%19 Aug →
nuke13–9-0.0216%19 Aug →
nuke16–13-0.0315%19 Aug →
dust213–10-0.035%18 Aug →
dust20–13-0.0814%18 Aug →
dust213–40.0313%18 Aug →
nuke13–90.0016%18 Aug →
nuke13–10.0728%18 Aug →
mirage13–30.076%18 Aug →
anubis13–70.108%17 Aug →
nuke10–130.0611%17 Aug →
inferno13–90.0617%17 Aug →
nuke13–8-0.0118%17 Aug →
dust28–13-0.057%16 Aug →
ancient16–130.0223%16 Aug →
anubis9–130.0318%16 Aug →
dust213–8-0.0116%16 Aug →
nuke11–130.0112%15 Aug →
dust216–140.0215%15 Aug →
ancient13–30.1012%15 Aug →
dust213–100.0313%15 Aug →
dust213–11-0.0518%15 Aug →
dust212–160.0310%15 Aug →
anubis13–80.0619%14 Aug →
mirage13–50.0817%14 Aug →
dust213–10.025%9 Aug →
anubis13–11-0.039%9 Aug →
dust213–60.0912%9 Aug →
inferno13–50.0716%8 Aug →
ancient8–13-0.0512%8 Aug →
nuke13–90.0414%8 Aug →
dust23–13-0.0321%7 Aug →
mirage13–80.0218%7 Aug →
dust27–130.0313%6 Aug →
mirage5–130.0116%6 Aug →
ancient13–10-0.025%5 Aug →
dust27–130.0117%5 Aug →
inferno13–40.1026%5 Aug →
nuke13–20.1418%4 Aug →
anubis6–130.028%4 Aug →
anubis16–12-0.024%3 Aug →
mirage13–50.0113%3 Aug →
anubis11–13-0.035%2 Aug →
inferno7–130.0216%1 Aug →
mirage13–60.0914%1 Aug →
cache13–30.0814%1 Aug →
dust211–130.0517%1 Aug →
nuke11–13-0.009%1 Aug →
nuke13–100.058%31 Jul →
dust20–13-0.0314%31 Jul →
dust213–40.074%31 Jul →
nuke10–130.0513%31 Jul →
cache13–60.0515%30 Jul →
mirage9–130.0716%30 Jul →
anubis13–40.0614%28 Jul →
anubis15–150.0510%28 Jul →
dust212–160.0018%28 Jul →
ancient13–50.1111%27 Jul →
ancient9–13-0.0110%27 Jul →
dust213–20.099%27 Jul →
nuke5–00.1215%27 Jul →
anubis13–20.086%26 Jul →
mirage13–10-0.018%26 Jul →
anubis4–13-0.085%26 Jul →
anubis7–13-0.0217%25 Jul →
nuke12–160.0119%24 Jul →
ancient2–13-0.0713%23 Jul →
ancient13–8-0.0214%23 Jul →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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