Nautaman

Nautaman — CS2 Stats

76561198142156618[U:1:181890890]Steam profile ↗✓ No bans

531Tracked matches44%Win rate2021Tracked since
1,475Hours in CS11Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim42
Positioning65
Utility39

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateLLWLTLLLLT

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.5pp headshot accuracy · −88ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 626ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3.1 against its own average).

Aim4.2
Utility3.9
Positioning6.5
Opening Duels3.2
Clutch0.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.2
Positioning6.5
Utility3.9
Mechanics3.0
Opening Duels5.1
Win Impact3.1

Composite 4.4/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time591ms+29ms
first ⅓ avg 561ms → last ⅓ avg 591ms
Headshot accuracy18.2%−0.5%
first ⅓ avg 18.7% → last ⅓ avg 18.2%

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.

Personal bests

0.21Best match rating · 9–3 · inferno, 23 Sept →
40%Best headshot accuracy · 3–3 · mirage, 24 Oct →
391msFastest reaction time · 5–9 · inferno, 28 Oct →
13–1Biggest win · ancient, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
anubisC3113–1842%-0.00
dust2D205–1525%-0.01
mirageA169–756%-0.00
ancientB157–847%0.01
infernoS96–367%0.09
cacheC73–443%0.01
rush_001—11–0100%-0.03
nuke—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,946Lifetime kills
0.97K/D
3,018Matches
44.6%Match win rate
43.1%Headshot %
9.1%Shot accuracy
8,777MVPs
789Hours (in match)
3,040Bombs planted
506Bombs defused

Most-used weapons

AK-4712,360
AWP3,052
MP92,047
MP71,377
Knife1,090

Lifetime map wins

4,806inferno
3,571dust2
1,755vertigo
591train
494nuke
239cbble
147bank
116lake

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

Faceit stats

Combat

4Matches
50%Win rate
0.73Avg K/D
76.9ADR
52%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.6513.0
Ancient1100%0.7115.0
Mirage10%0.6210.0

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.

17.9%Headshot accuracy
29.3%Accuracy (enemy spotted)
35.6%Spray accuracy
63.7%Counter-strafing
11.3°Preaim
593msReaction time
53.9%T opening success
46.8%CT opening success
0.53Enemies flashed / flash
12.5%Flash assists
7.80HE damage / grenade
4.75Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0021%4 Nov →
anubis3–5-0.068%4 Nov →
anubis13–11-0.0622%4 Nov →
dust26–13-0.0518%1 Nov →
mirage12–12-0.0021%30 Oct →
anubis9–130.0115%30 Oct →
dust27–130.0419%29 Oct →
inferno5–90.1623%28 Oct →
dust28–130.0416%28 Oct →
anubis12–12-0.0218%26 Oct →
mirage8–130.0717%24 Oct →
dust210–13-0.0320%24 Oct →
anubis7–12-0.0319%24 Oct →
mirage3–3-0.0040%24 Oct →
mirage13–7-0.0413%24 Oct →
dust28–13-0.0632%24 Oct →
mirage13–80.0225%23 Oct →
dust213–70.0616%23 Oct →
dust211–13-0.0318%22 Oct →
mirage12–120.0513%22 Oct →
mirage9–13-0.1031%21 Oct →
anubis11–13-0.0412%21 Oct →
mirage13–100.0522%15 Oct →
anubis13–100.0114%15 Oct →
dust213–50.0214%15 Oct →
anubis11–13-0.0014%15 Oct →
anubis13–3-0.0315%13 Oct →
dust213–2-0.0013%11 Oct →
anubis13–50.1812%10 Oct →
mirage13–80.0419%10 Oct →
anubis13–100.0815%10 Oct →
rush_0018–4-0.0313%9 Oct →
dust212–120.0215%9 Oct →
mirage13–9-0.0115%9 Oct →
anubis1–13-0.110%8 Oct →
mirage13–8-0.0320%6 Oct →
dust213–2-0.0211%6 Oct →
dust213–110.0322%5 Oct →
anubis13–8-0.0214%5 Oct →
inferno13–60.0625%4 Oct →
nuke13–110.0526%3 Oct →
dust24–13-0.0524%3 Oct →
ancient10–1-0.0213%3 Oct →
anubis6–130.0416%2 Oct →
anubis6–130.0219%2 Oct →
mirage7–13-0.0414%1 Oct →
anubis3–130.0321%1 Oct →
anubis0–8-0.0129%29 Sept →
anubis5–130.0120%29 Sept →
ancient13–10.0117%28 Sept →
anubis6–7-0.0621%28 Sept →
mirage13–2-0.0111%27 Sept →
dust28–13-0.0818%26 Sept →
anubis13–90.0417%26 Sept →
inferno9–60.0827%26 Sept →
ancient7–13-0.0229%26 Sept →
anubis6–13-0.0019%26 Sept →
inferno6–130.0216%25 Sept →
anubis13–60.0314%25 Sept →
inferno9–50.1024%25 Sept →
inferno9–30.2120%23 Sept →
anubis10–13-0.0428%23 Sept →
dust20–11-0.0427%22 Sept →
ancient13–70.0223%20 Sept →
anubis9–130.0124%20 Sept →
anubis13–6-0.0222%20 Sept →
dust25–13-0.0111%19 Sept →
anubis4–13-0.103%19 Sept →
anubis13–110.0425%19 Sept →
mirage13–2-0.0016%19 Sept →
ancient13–2-0.0911%19 Sept →
ancient5–13-0.0311%19 Sept →
ancient3–13-0.0216%18 Sept →
anubis5–130.058%18 Sept →
dust24–130.0725%18 Sept →
cache13–110.0516%18 Sept →
ancient12–120.0626%18 Sept →
dust23–13-0.0816%18 Sept →
anubis13–20.0016%17 Sept →
inferno7–90.0623%14 Sept →
cache10–130.0012%14 Sept →
mirage12–120.0212%14 Sept →
mirage6–0-0.0122%14 Sept →
cache13–10.0424%14 Sept →
cache1–11-0.0517%13 Sept →
ancient2–13-0.0128%13 Sept →
dust26–13-0.0623%13 Sept →
anubis13–9-0.0516%13 Sept →
cache1–13-0.0518%13 Sept →
ancient9–20.0421%13 Sept →
anubis13–60.0915%12 Sept →
cache13–90.0228%12 Sept →
ancient13–2-0.0023%12 Sept →
inferno13–80.0325%12 Sept →
cache10–130.0520%12 Sept →
ancient4–13-0.0327%12 Sept →
ancient12–120.0225%12 Sept →
inferno13–60.0920%12 Sept →
ancient9–130.0616%12 Sept →
ancient13–110.1414%10 Sept →

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 →

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