Taxi B

Taxi B — CS2 Stats

IT76561198144482595[U:1:184216867]Steam profile ↗✓ No bans

269Tracked matches36%Win rate2020Tracked since
1,216Hours in CS21Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating5,555Light Blue band · top ~76.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 5,555 -2,946 4 May – 4 Nov · 15 days played
5,55511,550peak 11,5504 May4 Nov
11,550Peak Premier in tracked matches
35Days played since 2026-05-01

Premier CS Rating

  • 5,995 below peak (11,550)
  • Next: Blue band at 10,000 — 4,445 to go
  • Reached: Blue band · 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 rate31.9%39.9%42.0%10.1% short
Shot accuracy16.8%7.0%9.6%above
Kill/death ratio0.980.920.98meets
Match win rate41.2%42.3%43.8%2.6% short

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

Widest gap: Headshot rate. 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.GGTaxi BPREMIER5,555 · Light 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

Aim59
Positioning71
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY38–58–4Last 10038%Win rateLLLWWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · −10ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 562ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 567ms

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 (+2.5 against its own average).

Aim5.9
Utility2.5
Positioning7.1
Opening Duels4.3

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 73% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.9
Positioning7.1
Utility2.5
Mechanics3.9
Opening Duels6.2
Win Impact0.2

Composite 4.3/10 (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 -0.00 → last ⅓ avg -0.01
Reaction time573ms−50ms
first ⅓ avg 622ms → last ⅓ avg 573ms
Headshot accuracy16.3%+2.5%
first ⅓ avg 13.8% → last ⅓ avg 16.3%

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

0.12Best match rating · 13–5 · dust2, 5 May →
71%Best headshot accuracy · 8–13 · mirage, 17 Oct →
438msFastest reaction time · 7–13 · dust2, 29 Oct →
13–3Biggest win · cache, 10 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 53% over 15overpassWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%-0.01
infernoC259–1636%0.01
ancientB158–753%0.00
mirageD102–820%-0.00
nukeC73–443%-0.01
overpassD71–614%-0.00
cache—31–233%-0.05
anubis—30–30%-0.04
train—10–10%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,871Lifetime kills
0.98K/D · Top 50% of Light Blue band
1,860Matches
41.2%Match win rate
31.9%Headshot %
16.8%Shot accuracy · Top 10% of Light Blue band
4,259MVPs
699Hours (in match)
2,068Bombs planted
333Bombs defused

Most-used weapons

AWP9,110
AK-476,347
P2501,066
MP91,005
P90986
AUG919

Lifetime map wins

6,353dust2
1,196inferno
1,005train
919nuke
381vertigo
267cbble
250lake
197office

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

Faceit stats

Combat

6Matches
33%Win rate
0.64Avg K/D
—ADR
28%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

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.

14.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.8%Spray accuracy
67.4%Counter-strafing
11.1°Preaim
569msReaction time
53.5%T opening success
56.3%CT opening success
0.54Enemies flashed / flash
3.6%Flash assists
7.39HE damage / grenade
1.36Flashes / 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. 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 14.2394% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.3576 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
train4–13-0.0318%5 Nov →
inferno4–13-0.046%4 Nov →
cache0–7-0.0614%4 Nov →
ancient13–9-0.0210%4 Nov →
inferno13–11-0.0226%2 Nov →
dust29–13-0.077%2 Nov →
mirage3–13-0.0417%2 Nov →
inferno13–80.079%31 Oct →
nuke13–40.0617%31 Oct →
dust210–130.026%31 Oct →
inferno13–40.034%30 Oct →
dust213–8-0.0410%30 Oct →
ancient13–40.0915%30 Oct →
inferno13–90.0216%30 Oct →
nuke7–13-0.0318%30 Oct →
mirage7–13-0.0115%29 Oct →
dust23–13-0.0614%29 Oct →
inferno3–13-0.067%29 Oct →
dust27–13-0.0313%29 Oct →
ancient9–10.0616%29 Oct →
nuke15–15-0.0426%28 Oct →
inferno15–15-0.008%28 Oct →
nuke13–10-0.0533%26 Oct →
nuke2–13-0.0311%26 Oct →
inferno7–130.0113%26 Oct →
inferno10–13-0.0313%26 Oct →
nuke10–13-0.0115%24 Oct →
mirage9–13-0.023%24 Oct →
mirage4–130.0018%18 Oct →
inferno9–130.0523%18 Oct →
mirage8–130.0271%17 Oct →
anubis2–13-0.0718%17 Oct →
dust27–13-0.0027%16 Oct →
cache1–13-0.098%16 Oct →
inferno6–13-0.0211%15 Oct →
inferno13–11-0.038%3 Oct →
dust23–13-0.0525%2 Oct →
overpass4–130.0111%2 Oct →
dust212–12-0.0120%2 Oct →
dust213–110.0531%1 Oct →
inferno3–130.0221%1 Oct →
ancient2–13-0.100%25 Sept →
anubis4–13-0.025%25 Sept →
dust213–5-0.0211%22 Sept →
ancient13–110.066%25 May →
dust24–13-0.0429%25 May →
overpass10–130.0421%25 May →
dust213–110.0215%25 May →
inferno15–150.0212%24 May →
overpass13–110.0613%24 May →
ancient13–11-0.0613%19 May →
overpass11–13-0.0313%19 May →
nuke13–100.0328%19 May →
dust211–13-0.0414%19 May →
ancient2–130.009%17 May →
dust22–13-0.0411%17 May →
dust213–10-0.0416%17 May →
inferno13–50.1123%17 May →
ancient13–80.0213%17 May →
anubis14–16-0.046%16 May →
inferno8–130.0515%16 May →
inferno13–80.0532%16 May →
inferno11–130.0912%16 May →
dust216–12-0.0116%15 May →
mirage13–110.0216%15 May →
dust213–8-0.033%15 May →
dust210–130.009%14 May →
mirage11–13-0.007%14 May →
ancient13–5-0.0111%14 May →
ancient10–130.0011%14 May →
ancient10–13-0.025%14 May →
mirage13–8-0.0210%13 May →
overpass8–13-0.0313%13 May →
ancient6–130.0418%13 May →
cache13–3-0.026%10 May →
inferno12–16-0.0313%9 May →
inferno7–13-0.020%7 May →
dust213–30.057%7 May →
dust22–13-0.027%6 May →
ancient11–13-0.028%6 May →
inferno9–13-0.033%6 May →
overpass5–13-0.0713%6 May →
inferno13–11-0.014%6 May →
dust213–70.049%5 May →
dust23–13-0.0317%5 May →
dust213–5-0.0219%5 May →
dust213–50.1214%5 May →
inferno3–130.0819%5 May →
mirage12–160.0316%5 May →
dust213–9-0.0417%4 May →
dust213–100.0620%4 May →
dust23–100.0133%3 May →
ancient13–9-0.009%3 May →
mirage10–13-0.0219%3 May →
ancient13–16-0.0321%2 May →
dust213–40.0623%2 May →
inferno13–11-0.0214%2 May →
inferno8–13-0.0722%2 May →
overpass8–130.0115%2 May →
dust211–130.0231%1 May →

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 →

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