🎡Natsu🎡

🎡Natsu🎡 β€” CS2 Stats

DE76561198138668738[U:1:178403010]Steam profile β†—βœ“ No bans

2,000Tracked matches53%Win rate2020Tracked since
6,845Hours in CS
CSDB Rating7.2 StrongEntry Fragger
Premier CS Rating28,627Top 5% of 17,162 CSDB-tracked playersRed band Β· top ~1.3% of ranked players (population est.)
CSDB Leaderboard#320 of 26431 tracked
FaceitLevel 10 Β· 2,580 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate53.4%52.0%
Shot accuracy20.4%13.7%
Kill/death ratio1.001.08
Match win rate50.6%48.8%

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CSDB.GG🎡Natsu🎡FACEITLevel 10 · 2,580 ELOSTANDINGTop 12.4% of rankedPREMIER28,627 · Red bandcsdb.gg/stats

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Performance scores

Aim88
Positioning67
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWLLLWLWWWW

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

Player DNA

Primary style: Entry Fragger β€” High opening-fight frequency with above-par success in them.

Aim8.8
Aggression10.0
Utility4.5
Positioning6.7
Opening Duels6.0
Clutch3.0

Sharp aimerLimited utility dependence

Style profile from tracked-match aggregates β€” how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Strengths

Aim. Aim score of 88 β€” the mechanical foundation is a clear strength.

Areas to improve

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

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.8
Positioning6.7
Utility4.5
Mechanics6.7
Opening Duels6.0
Win Impact6.1

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (Γ—1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first β…“ avg 0.02 β†’ last β…“ avg 0.02
Reaction time519msβˆ’32ms
first β…“ avg 551ms β†’ last β…“ avg 519ms
Headshot accuracy23.9%βˆ’1.1%
first β…“ avg 24.9% β†’ last β…“ avg 23.9%

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

0.17Best rating β€” dust2 13–2
13–2Biggest win β€” dust2
6Longest win streak
17–9In matches decided by ≀2 rounds
14Overtime games

Map breakdown

cacheBest map Β· 64% over 14anubisWeakest map Β· 43% over 21
MapGradePlayedRecordWin rateAvg rating
anubisC219–1243%0.01
ancientA2012–860%0.02
infernoA1610–663%0.02
cacheA149–564%0.01
nukeA127–558%0.03
dust2B115–645%0.03
overpassβ€”32–167%0.01
mirageβ€”20–20%0.00
italyβ€”10–10%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

327,511Lifetime kills
1.00K/D
10,009Matches
50.6%Match win rate Β· Top 50% of Level 10 players
53.4%Headshot % Β· Top 50% of Level 10 players
20.4%Shot accuracy Β· Top 5% of Level 10 players
41,966MVPs
6,845Hours (in match)
6,105Bombs planted
2,734Bombs defused

Most-used weapons

AK-4794,246
AWP64,434
Glock-1811,425
P2505,875
P905,777
Knife4,763
SG 5534,689

Lifetime map wins

32,048dust2
19,542inferno
9,380nuke
3,519train
2,588cbble
1,282vertigo
304lake
240office

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

Faceit stats

Combat

3,448Matches
50%Win rate
1.12Avg K/D
85.3ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient20851%1.1117.7
Dust218651%1.1017.9
Inferno17350%1.1218.1
Anubis16657%1.1318.6
Mirage14246%1.1118.1
Nuke13557%1.2218.6
Cache4257%1.1917.7
Overpass3941%1.2419.8

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.9%Headshot accuracy
39.0%Accuracy (enemy spotted)
39.0%Spray accuracy
80.1%Counter-strafing
8.9Β°Preaim
510msReaction time
49.4%T opening success
58.3%CT opening success
0.54Enemies flashed / flash
6.4%Flash assists
10.56HE damage / grenade
4.95Flashes / match

Recommended for you

Spend your practice time on Anubis

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

43% win rate across 21 tracked games β€” your weakest map with enough games to be worth reading into.

Anubis callouts & strategy β†’Anubis grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
ancient13–70.0017%28 Aug β†’
anubis11–130.0421%28 Aug β†’
nuke13–16-0.0116%28 Aug β†’
inferno8–13-0.0710%28 Aug β†’
ancient13–70.0732%28 Aug β†’
inferno17–190.0419%21 Aug β†’
anubis13–100.0126%21 Aug β†’
ancient13–70.1037%21 Aug β†’
dust213–80.0215%17 Aug β†’
inferno19–170.0726%16 Aug β†’
cache13–50.0350%16 Aug β†’
cache13–11-0.0224%16 Aug β†’
ancient13–16-0.0122%7 Aug β†’
mirage17–190.0028%7 Aug β†’
anubis6–13-0.0723%7 Aug β†’
anubis16–14-0.0818%7 Aug β†’
cache13–160.0013%6 Aug β†’
inferno14–16-0.0211%4 Aug β†’
dust213–110.0622%1 Aug β†’
inferno13–90.0134%1 Aug β†’
anubis11–130.0117%31 Jul β†’
dust213–20.1712%31 Jul β†’
nuke10–130.0317%31 Jul β†’
ancient19–160.1320%31 Jul β†’
anubis9–13-0.0025%31 Jul β†’
inferno9–13-0.0521%24 Jul β†’
ancient16–13-0.0420%24 Jul β†’
cache13–50.0841%24 Jul β†’
nuke7–13-0.0122%24 Jul β†’
anubis13–110.0139%22 Jul β†’
nuke13–60.0442%22 Jul β†’
inferno13–80.0813%21 Jul β†’
nuke13–60.0931%21 Jul β†’
cache7–13-0.0317%21 Jul β†’
anubis9–130.0417%20 Jul β†’
cache4–13-0.0522%19 Jul β†’
dust27–13-0.0120%19 Jul β†’
inferno13–90.0223%17 Jul β†’
ancient10–13-0.0413%6 Jun β†’
nuke13–100.0227%5 Jun β†’
ancient6–13-0.0626%5 Jun β†’
anubis7–130.0028%5 Jun β†’
inferno13–9-0.0027%4 Jun β†’
anubis10–130.0848%29 May β†’
nuke13–90.0630%28 May β†’
inferno13–110.0732%28 May β†’
dust24–130.0145%27 May β†’
overpass13–4-0.0222%24 May β†’
ancient6–130.0436%23 May β†’
ancient16–140.0328%18 May β†’
ancient8–13-0.0430%17 May β†’
inferno13–110.0319%17 May β†’
overpass13–50.0319%17 May β†’
nuke11–13-0.0121%13 May β†’
anubis13–30.0618%11 May β†’
dust28–130.0325%9 May β†’
ancient13–110.0223%9 May β†’
inferno13–11-0.0323%8 May β†’
ancient13–80.0825%3 May β†’
nuke16–140.0228%3 May β†’
nuke13–60.0516%3 May β†’
anubis4–13-0.0229%3 May β†’
anubis6–13-0.0219%1 May β†’
dust24–13-0.0723%1 May β†’
cache13–50.1233%30 Apr β†’
cache13–80.0332%30 Apr β†’
cache13–11-0.0124%28 Apr β†’
cache3–13-0.0420%27 Apr β†’
cache6–13-0.0243%27 Apr β†’
cache13–60.0116%27 Apr β†’
anubis7–130.0827%26 Apr β†’
inferno11–130.0135%26 Apr β†’
cache13–2-0.0125%26 Apr β†’
inferno6–130.0228%25 Apr β†’
dust213–110.0926%24 Apr β†’
anubis13–80.0717%24 Apr β†’
cache13–40.0921%24 Apr β†’
mirage4–130.0036%23 Apr β†’
ancient13–110.0122%23 Apr β†’
ancient13–60.0813%23 Apr β†’
ancient10–130.0619%22 Apr β†’
ancient10–130.0127%22 Apr β†’
nuke13–6-0.0117%21 Apr β†’
anubis6–13-0.0133%20 Apr β†’
ancient11–13-0.0430%20 Apr β†’
dust211–130.0244%17 Apr β†’
ancient13–90.0621%17 Apr β†’
overpass15–190.0221%17 Apr β†’
anubis13–90.0518%17 Apr β†’
anubis4–13-0.066%14 Apr β†’
inferno13–110.0431%14 Apr β†’
anubis13–7-0.0524%13 Apr β†’
nuke9–130.0834%1 Apr β†’
anubis13–80.0132%1 Apr β†’
ancient13–6-0.0024%1 Apr β†’
italy5–130.0328%28 Mar β†’
anubis13–100.0226%18 Mar β†’
dust213–110.0113%26 Feb β†’
dust22–13-0.0422%26 Feb β†’
inferno16–140.0526%25 Feb β†’

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’