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DeagleScout — CS2 Stats

76561199815677191[U:1:1855411463]✓ No bans

1,892Tracked matches54%Win rate2025Tracked since
1,696Hours in CS17Hrs last 2 wks
CSDB Rating4.1 Developing
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim53
Positioning42
Utility31

0–100 skill scores via Leetify.

Recent form

COLD42–47–11Last 10042%Win rateTWLLLTLLLL

Last 10 vs previous 10: -50pp win rate · -0.07 avg rating

Player DNA

Aim5.3
Aggression5.3
Utility3.1
Positioning4.2
Opening Duels1.7
Clutch2.0

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 80% playstyle similarity

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

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 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 675ms 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

Aim5.3
Positioning4.2
Utility3.1
Mechanics5.4
Opening Duels2.2
Win Impact6.3

Composite 4.1/10 (Developing), 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 -0.02 → last ⅓ avg -0.01
Reaction time679ms−22ms
first ⅓ avg 701ms → last ⅓ avg 679ms
Headshot accuracy16.2%+2.0%
first ⅓ avg 14.2% → last ⅓ avg 16.2%

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 — dust2 13–11
13–3Biggest win — nuke
5Longest win streak
9–11In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 60% over 5dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC166–1038%-0.03
cacheC145–936%-0.03
anubisB147–750%-0.03
nukeB137–654%-0.02
dust2D134–931%0.01
mirageC83–538%-0.02
trainA53–260%0.01
vertigoA53–260%-0.04
ancient—31–233%-0.00
office—31–233%0.04
shelter—11–0100%0.05
debris—11–0100%0.11
fachwerk—10–10%-0.03
boulder—10–10%-0.07
overpass—10–10%-0.09
italy—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,818Lifetime kills
0.88K/D
2,322Matches
40.3%Match win rate
51.6%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
4,350MVPs
884Hours (in match)
1,732Bombs planted
745Bombs defused

Most-used weapons

AK-4714,917
M4A4 / M4A1-S8,698
AWP4,662
Desert Eagle2,509
P2000 / USP-S2,272
Glock-181,637
MP91,145
MAC-101,118
SSG 08667
Galil AR434

Lifetime map wins

3,975dust2
2,934nuke
2,359inferno
1,167train
706office
337vertigo
329italy
5ar_shoots

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

Faceit stats

Combat

77Matches
45%Win rate
0.64Avg K/D
56.9ADR
43%Headshot %

Clutches & streaks

30%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1656%0.538.6
Overpass1155%0.6812.6
Nuke1118%0.6410.1
Dust2944%0.7710.4
Ancient757%0.7913.0
Train729%0.6310.0
Anubis650%0.7512.2
Mirage650%0.518.2

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.

16.7%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.9%Spray accuracy
74.1%Counter-strafing
13.3°Preaim
675msReaction time
25.9%T opening success
48.0%CT opening success
0.38Enemies flashed / flash
1.6%Flash assists
6.78HE damage / grenade
7.49Flashes / 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 13.2944° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3847 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 13 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
cache12–12-0.047%27 Aug →
cache13–11-0.120%27 Aug →
cache4–13-0.0510%27 Aug →
mirage6–13-0.109%27 Aug →
inferno7–13-0.0318%23 Aug →
mirage12–12-0.026%23 Aug →
inferno8–13-0.0223%22 Aug →
train8–130.0924%21 Aug →
vertigo4–13-0.0616%21 Aug →
ancient5–13-0.0612%21 Aug →
shelter13–40.0533%21 Aug →
nuke7–130.0212%21 Aug →
dust213–110.1217%21 Aug →
debris9–70.1117%19 Aug →
mirage11–13-0.0711%18 Aug →
anubis13–6-0.034%18 Aug →
nuke13–6-0.0129%15 Aug →
cache11–13-0.0124%15 Aug →
dust212–120.1117%14 Aug →
inferno13–110.0316%14 Aug →
inferno12–12-0.0119%13 Aug →
vertigo13–9-0.0815%13 Aug →
nuke4–130.0223%13 Aug →
train13–6-0.1219%13 Aug →
train13–10-0.0120%13 Aug →
cache13–7-0.0513%11 Aug →
office7–130.0124%10 Aug →
office12–70.0821%9 Aug →
inferno13–6-0.006%9 Aug →
vertigo13–11-0.0414%8 Aug →
nuke13–9-0.0329%8 Aug →
ancient13–80.059%8 Aug →
dust26–130.0119%8 Aug →
cache13–60.0522%7 Aug →
anubis7–13-0.0313%7 Aug →
inferno11–13-0.095%6 Aug →
cache13–6-0.0517%6 Aug →
mirage13–100.0516%5 Aug →
inferno13–11-0.0218%4 Aug →
inferno13–11-0.033%4 Aug →
cache11–13-0.0411%4 Aug →
vertigo12–120.0118%3 Aug →
vertigo13–5-0.0211%31 Jul →
mirage13–6-0.037%30 Jul →
dust213–9-0.0415%30 Jul →
nuke10–13-0.0522%30 Jul →
inferno13–11-0.0512%28 Jul →
anubis11–13-0.0712%27 Jul →
anubis6–1-0.0113%27 Jul →
anubis8–130.020%27 Jul →
fachwerk12–12-0.0314%27 Jul →
anubis1–13-0.1115%27 Jul →
inferno11–13-0.0114%26 Jul →
anubis5–13-0.0517%26 Jul →
cache12–120.0620%24 Jul →
nuke13–30.0320%23 Jul →
anubis6–13-0.038%23 Jul →
inferno5–13-0.0213%23 Jul →
dust212–16-0.0514%22 Jul →
train11–130.0416%19 Jul →
nuke13–80.0012%19 Jul →
inferno8–13-0.123%19 Jul →
nuke12–12-0.0219%19 Jul →
dust210–13-0.0419%18 Jul →
anubis16–19-0.026%16 Jul →
inferno8–13-0.0625%13 Jul →
dust212–120.0020%12 Jul →
ancient8–13-0.0013%12 Jul →
cache8–13-0.0118%12 Jul →
nuke13–6-0.086%11 Jul →
boulder5–13-0.0714%9 Jul →
cache11–13-0.1113%9 Jul →
cache13–30.0018%8 Jul →
dust29–130.0216%8 Jul →
anubis13–3-0.0416%8 Jul →
dust27–130.0517%8 Jul →
mirage5–13-0.0016%8 Jul →
nuke13–60.0614%7 Jul →
cache4–13-0.0717%7 Jul →
nuke4–13-0.0115%7 Jul →
cache12–120.0328%7 Jul →
anubis13–60.0314%7 Jul →
office12–120.0312%29 Jun →
mirage13–7-0.0010%29 Jun →
dust26–90.0425%27 Jun →
inferno7–130.045%27 Jun →
overpass11–13-0.098%27 Jun →
nuke6–3-0.0817%27 Jun →
anubis13–8-0.0524%27 Jun →
italy11–13-0.0813%26 Jun →
dust213–7-0.088%26 Jun →
dust213–90.0113%24 Jun →
inferno4–13-0.0316%24 Jun →
nuke5–13-0.0618%23 Jun →
anubis13–8-0.019%23 Jun →
inferno13–11-0.0111%22 Jun →
mirage11–13-0.027%22 Jun →
dust27–13-0.0312%22 Jun →
anubis13–5-0.0521%22 Jun →
train13–100.0610%21 Jun →

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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