ScoutSwagger

ScoutSwagger — CS2 Stats

TK76561199806393230[U:1:1846127502]Steam profile ↗✓ No bans

659Tracked matches41%Win rate2024Tracked since
450Hours in CS3Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating20,258Top 50% of 215,386 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#80490 of 261506 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,258 -2,322 2 Aug – 12 Nov · 19 days played
20,00022,580peak 22,5802 Aug12 Nov
22,580Peak Premier in tracked matches
30Days played since 2026-07-09

Premier CS Rating

  • 2,322 below peak (22,580)
  • +87 over 30 days · steady
  • -1,662 over 90 days
  • Next: Red band at 25,000 — 4,742 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-26
  • Purple band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate42.1%46.9%49.3%7.2% short
Shot accuracy0.0%13.0%13.4%13.4% short
Kill/death ratio1.171.081.12above
Match win rate50.9%46.7%48.5%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGScoutSwaggerPREMIER20,258 · Pink bandcsdb.gg/stats

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Performance scores

Aim49
Positioning66
Utility76

0–100 skill scores via Leetify.

Recent form

HOT48–49–3Last 10048%Win rateWWWLTLWWWW

Last 10 vs previous 10: +40pp win rate · +0.07 avg rating · +0.1pp headshot accuracy · +100ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 634ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 17%
  • Avg reaction 683ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 633ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim4.9
Utility7.6
Positioning6.6
Opening Duels2.7

High utility contribution

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

iM

Plays most like iM 58% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 612ms 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

Aim4.9
Positioning6.6
Utility7.6
Mechanics5.2
Opening Duels4.7
Win Impact2.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time604ms+17ms
first ⅓ avg 587ms → last ⅓ avg 604ms
Headshot accuracy17.0%+1.2%
first ⅓ avg 15.9% → last ⅓ avg 17.0%

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

0.25Best match rating · 9–2 · nuke, 3 Aug →
36%Best headshot accuracy · 11–13 · office, 23 Aug →
313msFastest reaction time · 0–4 · cache, 28 Sept →
13–3Biggest win · ancient, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
3–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 32% over 25
MapGradePlayedRecordWin rateAvg rating
infernoD258–1732%-0.00
cacheB178–947%-0.00
anubisC114–736%0.03
mirageB105–550%0.02
nukeS97–278%0.05
trainS64–267%0.02
vertigoA53–260%0.08
ancient—42–250%-0.01
dust2—31–233%0.03
overpass—32–167%0.02
fachwerk—21–150%0.05
debris—21–150%0.04
poseidon—11–0100%0.21
office—10–10%0.04
boulder—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,110Lifetime kills
1.17K/D · Top 50% of Pink band
791Matches
50.9%Match win rate · Top 25% of Pink band
42.1%Headshot %
0.0%Shot accuracy
2,102MVPs
257Hours (in match)
917Bombs planted
212Bombs defused

Most-used weapons

Lifetime map wins

1,742inferno
698nuke
509train
506dust2
249vertigo
68italy
61office
1ar_shoots

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

Skill profile

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

17.1%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.9%Spray accuracy
73.3%Counter-strafing
10.7°Preaim
612msReaction time
55.5%T opening success
42.0%CT opening success
0.60Enemies flashed / flash
11.6%Flash assists
13.73HE damage / grenade
13.39Flashes / match

Recommended for you

Spend your practice time on Inferno

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

32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.0622%12 Nov →
anubis13–80.0524%5 Nov →
cache13–8-0.0615%5 Nov →
anubis6–130.1413%26 Oct →
dust215–150.0814%20 Oct →
cache6–13-0.0117%20 Oct →
poseidon9–50.2119%20 Oct →
overpass13–100.0818%14 Oct →
inferno13–60.0414%5 Oct →
nuke13–100.0112%4 Oct →
ancient13–6-0.0223%4 Oct →
inferno6–13-0.086%4 Oct →
vertigo10–4-0.046%4 Oct →
dust22–13-0.0020%4 Oct →
inferno6–130.0022%1 Oct →
cache5–130.0119%1 Oct →
anubis7–130.0313%1 Oct →
inferno9–13-0.0718%28 Sept →
vertigo13–40.1218%28 Sept →
cache2–13-0.0321%28 Sept →
cache0–4-0.130%28 Sept →
mirage5–13-0.0120%24 Sept →
mirage9–13-0.0116%21 Sept →
inferno13–70.1020%21 Sept →
anubis11–130.0111%21 Sept →
inferno8–130.0620%16 Sept →
inferno13–70.0620%16 Sept →
inferno6–13-0.0026%16 Sept →
overpass13–9-0.0222%13 Sept →
vertigo10–13-0.0117%13 Sept →
mirage10–130.0115%13 Sept →
train12–120.0816%13 Sept →
fachwerk5–130.0625%13 Sept →
overpass7–90.0010%11 Sept →
vertigo9–50.2118%11 Sept →
inferno9–50.0722%11 Sept →
inferno10–13-0.0125%11 Sept →
mirage13–6-0.0222%11 Sept →
ancient6–130.0118%11 Sept →
inferno11–13-0.0418%11 Sept →
dust213–100.0130%11 Sept →
train13–70.0518%11 Sept →
debris9–40.1615%11 Sept →
inferno7–9-0.0219%11 Sept →
anubis13–90.0718%8 Sept →
inferno2–9-0.148%8 Sept →
inferno15–15-0.077%7 Sept →
cache13–70.0720%24 Aug →
inferno13–6-0.0114%24 Aug →
train13–110.0120%24 Aug →
office11–130.0436%23 Aug →
anubis9–3-0.1118%23 Aug →
mirage6–13-0.0218%23 Aug →
cache13–100.0113%23 Aug →
cache13–70.0515%20 Aug →
debris7–9-0.0913%18 Aug →
train13–70.0116%18 Aug →
cache2–13-0.0322%18 Aug →
cache6–130.0416%18 Aug →
anubis0–13-0.013%13 Aug →
inferno11–13-0.018%13 Aug →
nuke6–13-0.0214%13 Aug →
inferno7–130.0021%10 Aug →
train9–13-0.059%10 Aug →
fachwerk13–100.0415%10 Aug →
cache13–50.0127%10 Aug →
mirage13–4-0.067%9 Aug →
nuke13–80.0529%9 Aug →
inferno13–80.0826%9 Aug →
ancient0–13-0.0710%9 Aug →
nuke13–70.068%6 Aug →
cache7–13-0.0211%6 Aug →
inferno13–16-0.0017%6 Aug →
mirage13–60.1417%3 Aug →
nuke5–13-0.0916%3 Aug →
inferno8–13-0.0420%3 Aug →
anubis7–130.0812%3 Aug →
nuke9–20.2515%3 Aug →
cache13–80.0714%2 Aug →
nuke13–110.0224%2 Aug →
anubis13–60.0519%2 Aug →
inferno7–130.0422%2 Aug →
ancient13–30.0311%26 Jul →
anubis8–13-0.0023%26 Jul →
vertigo0–20.100%26 Jul →
train13–11-0.0015%26 Jul →
cache13–60.018%26 Jul →
inferno8–13-0.0118%26 Jul →
cache6–13-0.0616%26 Jul →
anubis10–130.0019%26 Jul →
inferno11–130.0516%23 Jul →
mirage13–100.1820%23 Jul →
inferno13–9-0.0122%23 Jul →
cache13–40.0120%23 Jul →
mirage7–13-0.0612%20 Jul →
nuke13–80.0914%20 Jul →
cache7–130.039%20 Jul →
mirage13–70.0216%20 Jul →
inferno13–8-0.0111%9 Jul →
boulder13–60.0017%9 Jul →

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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