LookWhatICanDo

LookWhatICanDo — CS2 Stats

DK76561198263191080[U:1:302925352]Steam profile ↗✓ No bans

1,511Tracked matches42%Win rate2020Tracked since
2,212Hours in CS3Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating14,592Blue band · top ~30.6% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 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: 14,592 -286 8 Aug – 25 Oct · 22 days played
14,59217,136peak 17,1368 Aug25 Oct
17,296Peak Premier in tracked matches
31Days played since 2026-07-26

Premier CS Rating

  • 2,544 below peak (17,136)
  • -2,007 over 30 days · declining
  • -286 over 90 days
  • Next: Purple band at 15,000 — 408 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches523−18
Win rate20%35%−15pp
K/D0.650.83−0.17
Headshot %33%44%−11pp

Measured 23 Sep 2026 → 27 Oct 2026; previous 30 Aug 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.9%42.0%44.4%1.4% short
Shot accuracy13.0%9.6%11.9%above
Kill/death ratio1.090.981.03above
Match win rate45.3%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGLookWhatICanDoPREMIER14,592 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim53
Positioning42
Utility23

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateWTTLLLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −20ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 541ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 535ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

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 (+2.2 against its own average).

Aim5.3
Utility2.3
Positioning4.2
Opening Duels0.4
Clutch1.2

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

iM

Plays most like iM 90% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

Counter-strafing. Only 65% 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

Aim5.3
Positioning4.2
Utility2.3
Mechanics3.4
Opening Duels0.5
Win Impact2.4

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time533ms−38ms
first ⅓ avg 571ms → last ⅓ avg 533ms
Headshot accuracy15.5%−4.0%
first ⅓ avg 19.5% → last ⅓ avg 15.5%

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

0.29Best match rating · 6–0 · boulder, 9 Aug →
40%Best headshot accuracy · 7–0 · ancient, 8 Aug →
375msFastest reaction time · 8–13 · ancient, 28 Jul →
13–1Biggest win · nuke, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 57% over 14cacheWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%-0.01
cacheC176–1135%-0.01
nukeC156–940%0.00
anubisA148–657%-0.00
ancientA116–555%0.00
mirageC83–538%0.01
dust2C73–443%-0.02
vertigo—10–10%-0.03
train—10–10%-0.00
boulder—11–0100%0.29
fachwerk—10–10%0.00

Across the last 100 tracked matches.

Lifetime stats

64,271Lifetime kills
1.09K/D · Top 25% of Blue band
3,202Matches
45.3%Match win rate · Top 50% of Blue band
42.9%Headshot % · Top 50% of Blue band
13.0%Shot accuracy · Top 50% of Blue band
8,144MVPs
1,292Hours (in match)
4,875Bombs planted
761Bombs defused

Most-used weapons

Lifetime map wins

8,064inferno
6,903dust2
2,660nuke
1,187vertigo
1,139train
126cbble
47office
34lake

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

Faceit stats

Combat

137Matches
51%Win rate
1.12Avg K/D
77.8ADR
42%Headshot %

Clutches & streaks

26%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1267%1.0614.8
Inferno989%0.9613.1
Mirage967%1.6115.4
Nuke838%0.8313.8
Dust2850%1.5316.9
Cache450%1.0715.5
Vertigo367%0.8210.0
Ancient333%0.7312.3

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.

15.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.3%Spray accuracy
65.5%Counter-strafing
11.5°Preaim
536msReaction time
34.1%T opening success
28.7%CT opening success
0.31Enemies flashed / flash
0.7%Flash assists
6.98HE damage / grenade
3.41Flashes / 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. 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 0.3071 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.1377% — below the 40% mark we flag

Spend your practice time on Cache

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0328%25 Oct →
nuke12–12-0.024%25 Oct →
cache12–12-0.0314%25 Oct →
nuke8–13-0.055%22 Oct →
mirage0–13-0.0813%22 Oct →
inferno6–13-0.0515%21 Sept →
dust211–13-0.0228%21 Sept →
inferno13–90.0424%16 Sept →
cache13–90.0329%16 Sept →
nuke10–13-0.047%15 Sept →
nuke4–130.0226%14 Sept →
inferno7–13-0.0212%13 Sept →
nuke12–120.013%13 Sept →
cache5–13-0.0412%11 Sept →
inferno13–3-0.0213%11 Sept →
dust213–8-0.0825%11 Sept →
mirage5–13-0.0419%11 Sept →
cache9–13-0.0113%10 Sept →
nuke13–90.0523%10 Sept →
ancient12–12-0.0013%10 Sept →
ancient7–13-0.0531%4 Sept →
inferno13–90.0012%4 Sept →
mirage11–13-0.0321%4 Sept →
nuke13–70.0119%3 Sept →
cache9–13-0.064%3 Sept →
ancient14–16-0.047%31 Aug →
nuke13–30.0115%31 Aug →
nuke13–90.008%24 Aug →
cache13–10-0.0516%24 Aug →
anubis4–13-0.0310%23 Aug →
cache13–2-0.038%23 Aug →
cache6–130.0218%22 Aug →
inferno12–12-0.0418%22 Aug →
cache12–12-0.0711%21 Aug →
dust212–12-0.0315%21 Aug →
mirage13–30.076%21 Aug →
vertigo9–13-0.037%21 Aug →
inferno7–13-0.0118%20 Aug →
cache13–70.0618%19 Aug →
anubis10–130.0922%19 Aug →
inferno9–13-0.0411%19 Aug →
train10–13-0.0015%19 Aug →
inferno2–130.0224%19 Aug →
inferno10–13-0.0314%18 Aug →
anubis13–90.0010%18 Aug →
ancient4–130.0118%17 Aug →
cache13–5-0.0615%17 Aug →
anubis13–80.0216%17 Aug →
ancient13–80.0622%14 Aug →
cache14–160.0628%14 Aug →
inferno7–13-0.1023%13 Aug →
anubis13–40.0218%13 Aug →
inferno13–7-0.029%13 Aug →
mirage12–160.0914%13 Aug →
ancient13–50.0531%10 Aug →
anubis8–130.0616%10 Aug →
dust24–13-0.0422%10 Aug →
boulder6–00.290%9 Aug →
fachwerk8–130.0013%9 Aug →
inferno13–50.0727%9 Aug →
cache7–13-0.0227%8 Aug →
ancient7–00.0940%8 Aug →
inferno13–60.0430%8 Aug →
ancient13–9-0.0315%8 Aug →
anubis11–13-0.0213%8 Aug →
nuke10–130.0218%8 Aug →
inferno13–5-0.0120%8 Aug →
cache13–110.0724%8 Aug →
nuke13–10.0814%4 Aug →
inferno11–13-0.0226%4 Aug →
nuke14–16-0.0413%30 Jul →
anubis3–13-0.0540%30 Jul →
inferno7–9-0.1427%29 Jul →
inferno9–30.1924%29 Jul →
inferno7–13-0.0515%29 Jul →
anubis13–80.0217%28 Jul →
nuke6–13-0.0311%28 Jul →
cache5–13-0.0418%28 Jul →
ancient8–13-0.0523%28 Jul →
mirage13–11-0.0019%28 Jul →
inferno13–10-0.0618%27 Jul →
ancient13–50.0212%27 Jul →
anubis13–90.0229%27 Jul →
cache5–13-0.0417%27 Jul →
inferno13–9-0.0217%27 Jul →
anubis13–5-0.078%27 Jul →
dust213–70.0124%27 Jul →
anubis17–19-0.029%27 Jul →
anubis13–10-0.0313%27 Jul →
inferno13–30.0113%27 Jul →
inferno13–60.0020%27 Jul →
dust213–50.0227%27 Jul →
mirage13–70.0617%27 Jul →
nuke6–13-0.0313%27 Jul →
mirage11–13-0.0020%27 Jul →
inferno7–13-0.0317%26 Jul →
nuke13–90.0122%26 Jul →
cache7–130.0821%26 Jul →
dust26–13-0.0336%26 Jul →
anubis13–10-0.0317%26 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.