Ben Dover — CS2 Stats

76561198042916176[U:1:82650448]

3,217Tracked matches46%Win rate2023Tracked since
3,808Hours in CS23Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating7,906Light Blue band · top ~64.9% of ranked players (population est.)
CSDB Leaderboard#31576 of 42361 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate25.1%42.7%44.0%18.9% short
Shot accuracy8.1%10.8%11.6%3.5% short
Kill/death ratio0.851.001.030.18 short
Match win rate31.3%44.1%45.1%13.8% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBen DoverFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER7,906 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning43
Utility61

0–100 skill scores via Leetify.

Recent form

COLD39574Last 10039%Win rateWTLLLWLWLL

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

Player DNA

Aim4.0
Aggression3.9
Utility6.1
Positioning4.3
Opening Duels0.8
Clutch5.4

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0
Positioning4.3
Utility6.1
Mechanics4.2
Opening Duels0.8
Win Impact3.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time596ms−24ms
first ⅓ avg 620ms → last ⅓ avg 596ms
Headshot accuracy9.5%−1.3%
first ⅓ avg 10.8% → last ⅓ avg 9.5%

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

0.13Best rating — anubis 6–13
131Biggest win — inferno
4Longest win streak
47In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 56% over 9mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientC1971237%-0.00
nukeD1961332%-0.01
infernoC1761135%-0.02
anubisC156940%-0.01
cacheA116555%-0.04
dust2A95456%0.00
mirageD92722%-0.04
overpass110100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,620Lifetime kills
0.85K/D
6,451Matches
31.3%Match win rate
25.1%Headshot %
8.1%Shot accuracy
7,664MVPs
2,095Hours (in match)
4,278Bombs planted
848Bombs defused

Most-used weapons

AWP30,186
AK-4712,826
P903,498
MP73,202
MAC-103,174
AUG3,129

Lifetime map wins

7,262dust2
6,541inferno
5,426nuke
1,360vertigo
843train
240office
116lake
88cbble

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

Faceit stats

Combat

40Matches
52%Win rate
0.80Avg K/D
67.0ADR
31%Headshot %

Clutches & streaks

47%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient933%0.6514.7
Nuke757%0.8814.3
Inferno667%0.9112.7
Mirage560%1.0212.4
Cache540%0.7713.4
Overpass4100%0.9416.0
Vertigo20%0.254.0
Anubis10%0.609.0

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.

9.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.3%Spray accuracy
68.7%Counter-strafing
13.0°Preaim
603msReaction time
30.3%T opening success
36.0%CT opening success
0.59Enemies flashed / flash
4.8%Flash assists
7.53HE damage / grenade
11.69Flashes / 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 12.9911° — above the 12° mark we flag

    Aim Training
  2. 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 9.6843% — below the 15% mark we flag

    Aim Training
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0310%27 Aug
ancient15–150.0012%27 Aug
ancient10–130.0213%25 Aug
anubis3–13-0.0720%25 Aug
nuke6–130.046%25 Aug
cache13–9-0.047%24 Aug
nuke6–13-0.035%22 Aug
inferno13–10.108%22 Aug
inferno11–13-0.0214%22 Aug
dust29–130.0213%21 Aug
cache10–13-0.0222%21 Aug
nuke8–13-0.079%21 Aug
anubis16–140.0510%21 Aug
ancient13–11-0.011%21 Aug
inferno13–6-0.016%20 Aug
ancient13–7-0.058%20 Aug
ancient8–13-0.045%20 Aug
dust215–150.027%20 Aug
dust213–10-0.0215%19 Aug
anubis11–13-0.035%19 Aug
cache10–13-0.0413%18 Aug
nuke16–130.068%18 Aug
anubis13–80.038%17 Aug
anubis13–6-0.0221%17 Aug
mirage5–13-0.0410%16 Aug
nuke11–13-0.064%16 Aug
mirage10–13-0.065%15 Aug
ancient13–7-0.045%15 Aug
nuke7–13-0.1212%15 Aug
nuke13–40.0411%15 Aug
ancient16–120.024%15 Aug
cache16–12-0.016%15 Aug
mirage6–13-0.089%15 Aug
anubis13–9-0.048%15 Aug
inferno13–11-0.0210%15 Aug
inferno13–9-0.025%15 Aug
cache13–11-0.008%15 Aug
cache4–13-0.097%14 Aug
dust28–130.008%14 Aug
nuke5–13-0.0816%14 Aug
ancient8–130.0413%14 Aug
ancient13–5-0.006%14 Aug
inferno7–13-0.026%14 Aug
cache13–7-0.0112%14 Aug
inferno7–13-0.0315%13 Aug
ancient14–16-0.0617%13 Aug
nuke9–130.049%13 Aug
inferno13–50.0214%13 Aug
nuke10–13-0.025%12 Aug
inferno10–13-0.0410%12 Aug
anubis16–130.026%12 Aug
mirage13–10-0.016%11 Aug
inferno12–16-0.0512%11 Aug
anubis10–130.0013%11 Aug
ancient13–50.087%11 Aug
nuke14–16-0.0212%9 Aug
anubis6–130.1321%9 Aug
nuke9–13-0.034%9 Aug
nuke13–30.1011%8 Aug
nuke13–3-0.019%8 Aug
ancient6–130.0213%7 Aug
mirage13–8-0.1011%5 Aug
ancient4–13-0.0812%5 Aug
nuke9–13-0.0411%5 Aug
nuke10–130.020%4 Aug
overpass9–20.0620%4 Aug
mirage6–13-0.0623%3 Aug
inferno5–13-0.048%3 Aug
cache5–13-0.0715%2 Aug
anubis5–13-0.0127%2 Aug
dust213–7-0.046%1 Aug
mirage8–13-0.035%1 Aug
anubis8–130.058%1 Aug
dust213–90.0210%1 Aug
ancient9–130.0113%1 Aug
dust213–60.0318%1 Aug
anubis0–13-0.130%1 Aug
dust29–130.0119%1 Aug
nuke10–130.0114%1 Aug
nuke13–90.0518%31 Jul
mirage14–16-0.0113%31 Jul
dust213–8-0.026%31 Jul
ancient9–130.0314%31 Jul
inferno5–13-0.030%30 Jul
ancient4–13-0.0117%30 Jul
inferno6–130.020%30 Jul
inferno2–13-0.0418%30 Jul
ancient7–130.0211%30 Jul
inferno13–80.018%29 Jul
ancient15–15-0.0410%29 Jul
cache13–6-0.027%28 Jul
inferno3–13-0.060%28 Jul
anubis13–9-0.016%27 Jul
ancient13–8-0.0010%27 Jul
nuke13–9-0.0312%26 Jul
cache3–13-0.0612%26 Jul
mirage15–150.0617%26 Jul
anubis7–13-0.047%26 Jul
anubis6–13-0.0221%25 Jul
inferno11–13-0.064%25 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 →