HarrietTubman666

HarrietTubman666 — CS2 Stats

IR76561199050823418[U:1:1090557690]Steam profile ↗✓ No bans

587Tracked matches34%Win rate2023Tracked since
CSDB Rating3.2 LearningPositional Player
Premier CS Rating11,583Blue band · top ~46.5% of ranked players (population est.)
FaceitLevel 4 · 862 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 11,583 → 11,583
0Faceit ELO · 862 → 862
+5Tracked matches · now 587
−6.9ppWin rate · 41.4% → 34.5%

Rating over time

Premier CS Rating: 11,583 +1,737 25 Jul – 27 Sept · 20 days played
8,77811,698peak 11,69825 Jul27 Sept
Faceit ELO: 862 +0 28 Aug – 27 Sept · 6 observations
862862peak 86228 Aug27 Sept
11,818Peak Premier in tracked matches
862Highest Faceit ELO seen on CSDB
32Days played since 2026-07-25

Faceit ELO

  • At peak — 862
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 39 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-28
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • 115 below peak (11,698)
  • +527 over 30 days · improving
  • Next: Purple band at 15,000 — 3,417 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHarrietTubman666FACEITLevel 4 · 862 ELOSTANDINGTop 81.0% of rankedPREMIER11,583 · Blue band30 DAYS0 ELOPEAK ELO862csdb.gg/stats

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Performance scores

Aim52
Positioning37
Utility22

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLWLWLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · −43ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 620ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 612ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • 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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim5.2
Utility2.2
Positioning3.7
Opening Duels0.2
Clutch1.0

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

sh1ro

Plays most like sh1ro 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 633ms 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

Aim5.2
Positioning3.7
Utility2.2
Mechanics5.1
Opening Duels0.1
Win Impact0.0

Composite 3.2/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time636ms−48ms
first ⅓ avg 683ms → last ⅓ avg 636ms
Headshot accuracy15.6%−1.2%
first ⅓ avg 16.8% → last ⅓ avg 15.6%

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

0.10Best match rating · 13–2 · mirage, 31 Jul →
38%Best headshot accuracy · 13–0 · dust2, 28 Aug →
469msFastest reaction time · 13–0 · dust2, 28 Aug →
13–0Biggest win · dust2, 28 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 78% over 9mirageWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageD185–1328%-0.02
nukeA169–756%-0.02
ancientA159–660%-0.03
anubisC125–742%-0.05
cacheC104–640%-0.06
dust2S97–278%-0.03
infernoC73–443%-0.02
trainB63–350%-0.05
boulder—20–20%-0.07
vertigo—11–0100%-0.07
overpass—11–0100%-0.01
debris—10–10%-0.10
shelter—11–0100%-0.04
fachwerk—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches
52%Win rate
0.77Avg K/D
63.0ADR
46%Headshot %

Clutches & streaks

25%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2552%0.7611.8
Anubis2450%0.7812.4
Nuke1362%0.7414.1
Ancient1362%0.7812.3
Dust21155%0.8511.3
Cache650%0.619.5
Inferno520%0.8411.0
Overpass10%0.9313.0

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.

14.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.4%Spray accuracy
72.8%Counter-strafing
9.8°Preaim
633msReaction time
24.2%T opening success
31.0%CT opening success
0.25Enemies flashed / flash
4.1%Flash assists
7.05HE damage / grenade
4.58Flashes / 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 14.5231% — below the 15% 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 0.2511 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 24.1551% — below the 40% mark we flag

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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0717%1 Oct →
mirage13–40.014%1 Oct →
ancient14–16-0.0814%1 Oct →
nuke13–11-0.0611%29 Sept →
anubis11–13-0.085%29 Sept →
ancient7–13-0.129%26 Sept →
mirage6–70.0128%26 Sept →
anubis6–13-0.0414%26 Sept →
nuke7–13-0.0819%26 Sept →
mirage8–13-0.0519%23 Sept →
vertigo13–11-0.0729%21 Sept →
overpass3–2-0.0122%21 Sept →
dust22–13-0.0926%21 Sept →
nuke13–60.079%15 Sept →
mirage6–13-0.0522%15 Sept →
dust23–13-0.0511%15 Sept →
boulder12–12-0.0518%10 Sept →
anubis9–13-0.0710%10 Sept →
cache13–9-0.0420%9 Sept →
nuke11–13-0.067%9 Sept →
cache1–6-0.080%3 Sept →
nuke13–90.0719%3 Sept →
dust213–7-0.0212%3 Sept →
nuke1–9-0.0014%3 Sept →
cache5–13-0.0710%1 Sept →
ancient5–13-0.0612%1 Sept →
train9–13-0.056%1 Sept →
anubis13–8-0.0611%31 Aug →
cache6–13-0.0925%31 Aug →
ancient12–70.0224%31 Aug →
mirage4–13-0.0214%31 Aug →
dust213–00.0238%28 Aug →
ancient13–9-0.1116%28 Aug →
cache13–6-0.0224%28 Aug →
ancient13–9-0.046%28 Aug →
mirage13–4-0.0125%28 Aug →
ancient8–13-0.0710%25 Aug →
anubis16–14-0.0719%25 Aug →
train13–10-0.0510%25 Aug →
ancient13–0-0.0119%25 Aug →
nuke1–13-0.0925%23 Aug →
ancient13–8-0.0014%23 Aug →
dust213–9-0.0319%23 Aug →
ancient13–90.0219%20 Aug →
dust213–11-0.078%19 Aug →
inferno5–13-0.0111%19 Aug →
debris7–9-0.1016%18 Aug →
train3–13-0.0923%17 Aug →
ancient10–13-0.0714%17 Aug →
mirage13–16-0.0913%15 Aug →
nuke13–110.0218%15 Aug →
ancient13–90.0114%14 Aug →
anubis8–13-0.0424%13 Aug →
inferno5–13-0.0323%13 Aug →
nuke13–70.0324%13 Aug →
anubis1–13-0.0428%7 Aug →
mirage8–13-0.035%7 Aug →
nuke14–160.0015%5 Aug →
nuke12–12-0.0617%4 Aug →
inferno13–11-0.0314%4 Aug →
shelter10–8-0.0415%4 Aug →
dust213–90.0119%4 Aug →
boulder10–13-0.0815%4 Aug →
fachwerk13–9-0.0617%2 Aug →
anubis13–110.0014%2 Aug →
mirage14–16-0.0617%2 Aug →
nuke13–60.0218%2 Aug →
train13–9-0.0621%1 Aug →
cache9–13-0.0427%1 Aug →
inferno8–130.0222%31 Jul →
inferno13–7-0.0611%31 Jul →
dust213–9-0.0216%31 Jul →
anubis1–13-0.0935%31 Jul →
mirage9–7-0.0824%31 Jul →
mirage13–20.1023%31 Jul →
nuke1–13-0.077%30 Jul →
mirage12–12-0.067%30 Jul →
dust213–6-0.0422%30 Jul →
cache13–11-0.0319%30 Jul →
mirage10–13-0.0227%30 Jul →
mirage13–50.0520%30 Jul →
mirage15–15-0.0116%29 Jul →
train7–13-0.049%28 Jul →
inferno8–13-0.0912%28 Jul →
mirage13–9-0.0318%28 Jul →
nuke13–8-0.0514%28 Jul →
cache5–13-0.0537%26 Jul →
anubis13–60.0217%26 Jul →
ancient13–7-0.0127%26 Jul →
cache13–7-0.049%26 Jul →
ancient13–50.0113%26 Jul →
cache7–13-0.0821%26 Jul →
mirage8–13-0.010%26 Jul →
ancient5–130.0214%25 Jul →
inferno13–20.1010%25 Jul →
nuke13–50.0417%25 Jul →
nuke13–7-0.0516%25 Jul →
train13–5-0.0210%25 Jul →
anubis13–11-0.057%25 Jul →
mirage11–13-0.048%25 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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