Donatello

Donatello — CS2 Stats

76561198054816428[U:1:94550700]Steam profile ↗✓ No bans

735Tracked matches38%Win rate2022Tracked since
1,652Hours in CS24Hrs last 2 wks
CSDB Rating3.3 Learning
Premier CS Rating3,862Grey band · top ~83.6% of ranked players (population est.)
CSDB Leaderboard#27819 of 35858 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate38.4%40.1%1.6% short
Shot accuracy10.4%7.6%above
Kill/death ratio0.740.920.18 short
Match win rate39.1%42.2%3.0% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDonatelloPREMIER3,862 · Grey bandcsdb.gg/stats

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Performance scores

Aim33
Positioning41
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateWWTLLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim3.3
Aggression4.8
Utility4.0
Positioning4.1
Opening Duels2.1
Clutch3.2

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 79% playstyle similarity

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

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 51% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms 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

Aim3.3
Positioning4.1
Utility4.0
Mechanics5.8
Opening Duels2.7
Win Impact1.0

Composite 3.3/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time668ms−57ms
first ⅓ avg 725ms → last ⅓ avg 668ms
Headshot accuracy9.6%−0.5%
first ⅓ avg 10.1% → last ⅓ avg 9.6%

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

0.19Best rating — nuke 13–4
130Biggest win — anubis
4Longest win streak
W2Current streak
35In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA27161159%-0.01
dust2C2191243%0.00
nukeB168850%0.01
cacheA95456%-0.02
infernoD93633%-0.02
anubisS75271%0.00
ancientD61517%-0.05
poseidon31233%0.03
debris1010%-0.08
overpass1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,905Lifetime kills
0.74K/D
2,223Matches
39.1%Match win rate
38.4%Headshot %
10.4%Shot accuracy
2,869MVPs
776Hours (in match)
1,703Bombs planted
236Bombs defused

Most-used weapons

Lifetime map wins

3,239inferno
1,993dust2
1,980nuke
587train
228vertigo
24office
24safehouse
20lake

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

Faceit stats

Combat

45Matches
47%Win rate
0.72Avg K/D
66.5ADR
32%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%0.7010.1
Ancient650%0.609.0
Inferno650%0.7213.5
Dust2540%0.7411.8
Cache425%0.579.0
Anubis2100%1.1215.0
Train10%0.539.0
Nuke1100%1.757.0

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.

9.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.0%Spray accuracy
76.0%Counter-strafing
13.1°Preaim
664msReaction time
25.5%T opening success
51.2%CT opening success
0.56Enemies flashed / flash
5.7%Flash assists
6.44HE damage / grenade
5.25Flashes / 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 13.0789° — 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 9.5003% — below the 15% mark we flag

    Aim Training
Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–50.078%28 Aug
dust213–100.037%28 Aug
dust215–150.068%28 Aug
anubis9–13-0.028%27 Aug
mirage10–13-0.0112%27 Aug
mirage16–130.058%27 Aug
mirage13–9-0.0013%27 Aug
ancient8–130.0211%26 Aug
anubis13–00.0517%26 Aug
mirage8–130.0110%26 Aug
cache16–130.038%25 Aug
mirage9–13-0.069%25 Aug
ancient6–13-0.0312%24 Aug
mirage6–9-0.0613%24 Aug
dust27–130.0410%24 Aug
mirage8–13-0.0711%24 Aug
mirage4–13-0.006%24 Aug
inferno11–13-0.047%23 Aug
mirage13–80.068%20 Aug
mirage13–70.0110%20 Aug
dust216–140.0415%19 Aug
inferno0–13-0.0913%19 Aug
cache16–14-0.0011%18 Aug
dust22–130.0216%17 Aug
cache6–13-0.032%17 Aug
anubis13–11-0.018%17 Aug
nuke10–13-0.0713%9 Aug
nuke12–160.0610%7 Aug
dust27–13-0.042%7 Aug
debris0–9-0.088%7 Aug
ancient3–13-0.125%6 Aug
anubis4–13-0.097%6 Aug
dust213–30.0113%6 Aug
nuke2–13-0.068%6 Aug
ancient13–9-0.0311%6 Aug
dust22–11-0.0517%5 Aug
cache11–13-0.008%5 Aug
anubis13–6-0.0117%5 Aug
anubis13–60.0716%5 Aug
dust215–15-0.0315%5 Aug
mirage16–13-0.0313%5 Aug
nuke12–12-0.0514%4 Aug
mirage13–30.015%4 Aug
mirage13–50.0323%4 Aug
mirage13–70.0011%4 Aug
cache13–100.0012%3 Aug
mirage12–16-0.0214%3 Aug
mirage10–13-0.032%3 Aug
dust211–13-0.028%30 Jul
mirage6–13-0.0615%29 Jul
nuke13–40.015%29 Jul
dust213–60.0218%29 Jul
nuke13–9-0.0517%28 Jul
mirage13–50.0116%28 Jul
poseidon6–90.0314%28 Jul
nuke13–80.046%28 Jul
mirage11–13-0.088%27 Jul
dust25–13-0.048%27 Jul
dust29–13-0.0120%24 Jul
nuke2–13-0.067%23 Jul
nuke13–40.1921%23 Jul
anubis13–10-0.0021%23 Jul
inferno6–13-0.0224%22 Jul
ancient1–13-0.0812%22 Jul
mirage13–90.039%17 Jul
mirage13–70.0212%17 Jul
mirage6–13-0.0310%17 Jul
nuke10–130.0314%17 Jul
mirage13–30.025%16 Jul
nuke16–130.0513%14 Jul
cache13–7-0.025%14 Jul
dust215–15-0.0018%14 Jul
ancient6–13-0.0612%14 Jul
mirage13–80.005%13 Jul
nuke16–130.0210%13 Jul
overpass7–13-0.024%23 Jun
dust213–40.0312%20 Jun
dust26–13-0.0910%20 Jun
dust25–13-0.0421%20 Jun
inferno4–9-0.166%18 Jun
poseidon9–60.0514%18 Jun
dust213–60.068%18 Jun
nuke9–30.088%3 Jun
poseidon5–90.0116%3 Jun
inferno8–80.0013%11 May
cache9–130.017%8 May
inferno9–4-0.0017%6 May
cache13–10-0.094%30 Apr
inferno9–50.0510%29 Apr
nuke11–13-0.0713%28 Apr
cache6–13-0.070%28 Apr
mirage13–8-0.083%27 Apr
dust213–90.0710%24 Apr
nuke13–10.165%24 Apr
dust213–8-0.0115%24 Apr
nuke6–13-0.0610%23 Apr
inferno3–13-0.0811%22 Apr
inferno9–10.1419%21 Apr
dust213–70.018%17 Apr
mirage13–8-0.037%17 Apr

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 →