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Werndog — CS2 Stats

76561199029493899[U:1:1069228171]

1,210Tracked matches47%Win rate2020Tracked since
1,459Hours in CS19Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating18,783Purple band · top ~13.3% of ranked players (population est.)
CSDB Leaderboard#15003 of 31710 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate39.4%44.2%44.9%5.5% short
Shot accuracy5.0%11.2%11.8%6.9% short
Kill/death ratio0.981.041.040.06 short
Match win rate47.2%45.3%45.3%above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWerndogFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,783 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning55
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY39–61Last 10039%Win rateLWLWLWLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.0
Aggression5.3
Utility6.6
Positioning5.5
Opening Duels2.0
Clutch0.6

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Reaction time. 596ms 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

Aim5.0
Positioning5.5
Utility6.6
Mechanics5.6
Opening Duels2.0
Win Impact3.9

Composite 5.0/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time600ms−41ms
first ⅓ avg 642ms → last ⅓ avg 600ms
Headshot accuracy15.2%−1.8%
first ⅓ avg 17.0% → last ⅓ avg 15.2%

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

0.12Best rating — cache 16–14
13–0Biggest win — train
4Longest win streak
10–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 48% over 27infernoWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.00
nukeB199–1047%0.00
mirageC197–1237%0.00
cacheC94–544%0.03
ancientD92–722%-0.01
infernoD90–90%-0.01
anubisD62–433%-0.01
vertigo—11–0100%0.05
train—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,951Lifetime kills
0.98K/D
2,080Matches
47.2%Match win rate · Top 50% of Level 5 players
39.4%Headshot %
5.0%Shot accuracy
3,951MVPs
755Hours (in match)
2,636Bombs planted
571Bombs defused

Most-used weapons

AK-4710,214
M4A4 / M4A1-S5,262
AWP2,469
Desert Eagle1,810
P2000 / USP-S1,722
Glock-181,183
MAC-10959
MP9872
PP-Bizon796
Tec-9768

Lifetime map wins

5,253dust2
1,915nuke
1,078inferno
687train
431vertigo
71office
38lake
35cbble

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

Faceit stats

Combat

61Matches
59%Win rate
0.84Avg K/D
73.5ADR
38%Headshot %

Clutches & streaks

23%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.8112.5
Dust2367%0.8412.7
Inferno2100%1.1412.5
Nuke2100%1.4817.0
Ancient10%0.8814.0

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.

15.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.9%Spray accuracy
75.1%Counter-strafing
12.4°Preaim
596msReaction time
36.7%T opening success
39.4%CT opening success
0.67Enemies flashed / flash
6.5%Flash assists
13.00HE damage / grenade
15.05Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4322° — above the 12° mark we flag

    Aim Training →
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.

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–160.0210%28 Aug →
dust213–9-0.0115%28 Aug →
nuke4–130.0114%28 Aug →
dust213–70.019%26 Aug →
nuke12–160.0120%25 Aug →
cache13–110.0217%25 Aug →
anubis10–13-0.0111%24 Aug →
dust210–13-0.0422%24 Aug →
mirage13–11-0.0217%24 Aug →
nuke2–13-0.0417%24 Aug →
anubis13–110.0010%24 Aug →
ancient13–160.0110%22 Aug →
nuke13–100.0220%22 Aug →
cache16–140.1216%21 Aug →
mirage13–6-0.015%21 Aug →
dust213–9-0.028%21 Aug →
ancient6–13-0.0118%21 Aug →
mirage4–13-0.0717%20 Aug →
mirage13–60.0824%20 Aug →
nuke11–130.0517%20 Aug →
mirage3–13-0.0316%19 Aug →
nuke10–130.0626%19 Aug →
mirage10–13-0.055%17 Aug →
dust213–80.0814%17 Aug →
nuke16–14-0.0822%17 Aug →
dust213–60.0712%17 Aug →
nuke10–13-0.0426%15 Aug →
dust21–13-0.1318%15 Aug →
dust213–7-0.0523%15 Aug →
nuke10–130.058%14 Aug →
dust211–130.0013%14 Aug →
cache7–130.0615%14 Aug →
dust26–13-0.0410%14 Aug →
mirage13–90.0615%14 Aug →
ancient13–11-0.0418%13 Aug →
dust27–13-0.0319%13 Aug →
inferno3–13-0.0810%13 Aug →
mirage13–20.0926%13 Aug →
cache14–160.0116%13 Aug →
anubis9–130.1118%11 Aug →
mirage10–130.0321%11 Aug →
inferno4–13-0.0112%10 Aug →
inferno10–13-0.067%9 Aug →
inferno9–130.0313%7 Aug →
cache7–130.0520%7 Aug →
inferno5–13-0.0113%7 Aug →
dust213–110.0414%7 Aug →
mirage10–13-0.0422%6 Aug →
cache16–130.0220%6 Aug →
ancient8–13-0.016%6 Aug →
anubis0–13-0.074%4 Aug →
ancient3–13-0.090%3 Aug →
dust214–16-0.0817%3 Aug →
dust26–2-0.038%3 Aug →
mirage11–13-0.0313%3 Aug →
nuke7–13-0.0428%2 Aug →
nuke13–90.0126%2 Aug →
inferno6–13-0.0020%2 Aug →
nuke13–110.0415%1 Aug →
dust213–10-0.0525%1 Aug →
dust213–40.0222%1 Aug →
mirage5–13-0.0126%1 Aug →
cache11–13-0.0019%1 Aug →
ancient7–13-0.0211%1 Aug →
mirage13–40.0713%1 Aug →
ancient14–160.0114%31 Jul →
dust213–110.0112%31 Jul →
nuke13–100.0113%31 Jul →
ancient13–100.0622%31 Jul →
cache7–130.0617%31 Jul →
ancient6–13-0.0213%31 Jul →
dust26–13-0.0522%31 Jul →
nuke4–13-0.0016%31 Jul →
dust213–100.0227%31 Jul →
nuke13–10-0.048%28 Jul →
nuke13–50.0323%28 Jul →
dust210–130.0017%28 Jul →
nuke13–11-0.0116%27 Jul →
dust213–50.077%27 Jul →
mirage13–40.0419%26 Jul →
cache13–8-0.0221%26 Jul →
inferno10–130.058%25 Jul →
dust28–130.047%25 Jul →
nuke13–10-0.0032%25 Jul →
vertigo13–90.0522%25 Jul →
train13–0-0.0311%25 Jul →
mirage1–13-0.080%23 Jul →
inferno5–13-0.0519%23 Jul →
anubis2–13-0.0416%23 Jul →
dust26–13-0.0311%22 Jul →
mirage2–13-0.0611%22 Jul →
anubis13–8-0.0320%22 Jul →
dust210–13-0.0313%22 Jul →
dust211–130.0316%22 Jul →
mirage12–16-0.0218%21 Jul →
mirage10–130.0625%21 Jul →
mirage7–13-0.0133%20 Jul →
nuke11–13-0.0218%20 Jul →
dust26–130.1017%20 Jul →
inferno3–130.0326%20 Jul →

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 →

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