Keiji Usawa

Keiji Usawa — CS2 Stats

BE76561199094222636[U:1:1133956908]Steam profile ↗✓ No bans

166Tracked matches35%Win rate2026Tracked since
340Hours in CS28Hrs last 2 wks
CSDB Rating2.2 LearningPositional Player
Premier CS Rating7,715Light Blue band · top ~65.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (10 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: 7,715 +1,013 20 Sept – 26 Oct · 4 days played
6,7027,715peak 7,71520 Sept26 Oct
7,715Peak Premier in tracked matches
40Days played since 2026-07-07

Premier CS Rating

  • At peak — 7,715
  • +893 over 30 days · improving
  • Next: Blue band at 10,000 — 2,285 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate45.3%39.9%42.0%above
Shot accuracy0.2%7.0%9.6%9.4% short
Kill/death ratio0.540.920.980.44 short
Match win rate39.3%42.3%43.8%4.5% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGKeiji UsawaPREMIER7,715 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim15
Positioning42
Utility24

0–100 skill scores via Leetify.

Recent form

COLD39–51–10Last 10039%Win rateLTLLLTWLWT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.4pp headshot accuracy · +60ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 820ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 753ms

Last 20

  • 4–10–6 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 723ms

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 against its own average).

Aim1.5
Utility2.4
Positioning4.2
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 62% 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

CT openings. Opening success drops from 41% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 699ms 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

Aim1.5
Positioning4.2
Utility2.4
Mechanics4.6
Opening Duels1.3
Win Impact0.0

Composite 2.2/10 (Learning), 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-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time690ms−30ms
first ⅓ avg 720ms → last ⅓ avg 690ms
Headshot accuracy12.7%−2.1%
first ⅓ avg 14.8% → last ⅓ avg 12.7%

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

0.06Best match rating · 9–6 · eldorado, 21 Jul →
35%Best headshot accuracy · 11–13 · inferno, 18 Aug →
422msFastest reaction time · 13–6 · office, 29 Sept →
13–2Biggest win · vertigo, 23 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–7In matches decided by ≤2 rounds

Map breakdown

officeBest map · 60% over 10mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
vertigoB209–1145%-0.05
infernoD154–1127%-0.04
officeA106–460%-0.05
mirageD91–811%-0.08
cacheD82–625%-0.09
nukeD72–529%-0.05
anubisD72–529%-0.07
fachwerkA53–260%-0.06
dust2A53–260%-0.04
rush_001—42–250%-0.08
overpass—32–167%-0.05
boulder—31–233%-0.11
shelter—21–150%-0.06
eldorado—11–0100%0.06
debris—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,235Lifetime kills
0.54K/D
666Matches
39.3%Match win rate
45.3%Headshot % · Top 25% of Light Blue band
0.2%Shot accuracy
526MVPs
185Hours (in match)
293Bombs planted
110Bombs defused

Most-used weapons

Lifetime map wins

915inferno
673vertigo
549office
418dust2
258nuke
207italy
54train
16stmarc

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.

13.8%Headshot accuracy
25.2%Accuracy (enemy spotted)
26.0%Spray accuracy
70.5%Counter-strafing
14.0°Preaim
699msReaction time
40.8%T opening success
23.8%CT opening success
0.33Enemies flashed / flash
2.0%Flash assists
5.95HE damage / grenade
1.84Flashes / 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 13.9873° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.8052% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3271 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0818%1 Nov →
mirage12–12-0.0518%1 Nov →
mirage1–13-0.110%27 Oct →
vertigo5–13-0.106%27 Oct →
nuke2–13-0.0211%26 Oct →
anubis12–12-0.089%26 Oct →
overpass13–10-0.0519%26 Oct →
fachwerk5–13-0.1116%22 Oct →
fachwerk13–4-0.0115%20 Oct →
inferno12–120.0115%18 Oct →
cache7–13-0.094%18 Oct →
office12–12-0.0812%18 Oct →
fachwerk13–5-0.079%18 Oct →
vertigo12–12-0.0612%18 Oct →
inferno5–13-0.0715%14 Oct →
mirage5–13-0.1311%14 Oct →
vertigo12–12-0.0515%13 Oct →
inferno10–13-0.0328%13 Oct →
vertigo4–13-0.0620%11 Oct →
cache13–9-0.0614%9 Oct →
inferno5–13-0.065%9 Oct →
vertigo6–13-0.1029%8 Oct →
rush_0015–8-0.120%8 Oct →
rush_0014–0-0.0410%8 Oct →
rush_0016–8-0.0210%8 Oct →
rush_0016–3-0.135%8 Oct →
mirage7–13-0.0717%4 Oct →
inferno13–11-0.0415%4 Oct →
dust26–13-0.029%4 Oct →
inferno13–11-0.0017%29 Sept →
office13–6-0.0416%29 Sept →
vertigo12–12-0.0311%23 Sept →
vertigo13–2-0.0111%23 Sept →
cache7–13-0.075%21 Sept →
inferno13–10-0.0614%20 Sept →
mirage4–3-0.100%20 Sept →
mirage10–13-0.0012%17 Sept →
vertigo5–13-0.0810%17 Sept →
inferno9–13-0.027%14 Sept →
fachwerk10–13-0.0311%13 Sept →
inferno7–13-0.0814%9 Sept →
shelter1–13-0.0815%9 Sept →
vertigo13–7-0.0110%6 Sept →
office5–13-0.079%6 Sept →
vertigo13–7-0.029%4 Sept →
office13–6-0.046%4 Sept →
dust213–10-0.0710%4 Sept →
vertigo7–13-0.0611%4 Sept →
office12–12-0.0313%4 Sept →
anubis13–8-0.1120%4 Sept →
cache12–12-0.108%1 Sept →
vertigo8–13-0.0220%1 Sept →
office13–11-0.075%30 Aug →
cache3–13-0.1511%29 Aug →
nuke5–13-0.0520%29 Aug →
overpass13–4-0.0419%29 Aug →
nuke11–13-0.0722%29 Aug →
inferno13–9-0.078%29 Aug →
vertigo13–9-0.1017%28 Aug →
inferno10–13-0.0519%28 Aug →
cache13–6-0.0624%18 Aug →
inferno11–13-0.0335%18 Aug →
dust213–2-0.0415%18 Aug →
nuke8–13-0.077%18 Aug →
vertigo4–13-0.053%14 Aug →
office7–13-0.1216%14 Aug →
inferno9–13-0.0324%12 Aug →
office13–8-0.0515%11 Aug →
nuke13–8-0.0415%9 Aug →
overpass12–12-0.0613%9 Aug →
vertigo10–13-0.036%9 Aug →
dust26–13-0.0615%9 Aug →
mirage3–13-0.077%23 Jul →
boulder2–13-0.145%23 Jul →
office13–10-0.017%23 Jul →
vertigo13–3-0.0820%22 Jul →
cache10–13-0.089%22 Jul →
dust213–5-0.0211%22 Jul →
anubis13–11-0.0420%22 Jul →
eldorado9–60.0617%21 Jul →
debris7–9-0.0927%21 Jul →
mirage11–13-0.1010%21 Jul →
mirage9–13-0.0635%21 Jul →
anubis8–13-0.0618%17 Jul →
nuke13–11-0.0530%17 Jul →
vertigo13–11-0.0919%15 Jul →
anubis2–13-0.0815%15 Jul →
nuke10–13-0.0611%15 Jul →
vertigo13–7-0.0326%12 Jul →
anubis10–13-0.049%10 Jul →
office13–5-0.0111%10 Jul →
vertigo13–9-0.0115%10 Jul →
inferno4–13-0.036%10 Jul →
boulder11–13-0.126%10 Jul →
shelter13–5-0.0515%10 Jul →
fachwerk13–9-0.1021%10 Jul →
anubis10–13-0.0915%10 Jul →
vertigo13–10-0.0613%9 Jul →
boulder13–7-0.0719%9 Jul →
inferno11–13-0.059%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 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.