harbor

harbor — CS2 Stats

AU76561198047469450[U:1:87203722]Steam profile ↗✓ No bans

3,286Tracked matches27%Win rate2020Tracked since
44,862Hours in CS
CSDB Rating6.3 SolidSupport
CSDB Leaderboard#39019 of 259007 tracked
FaceitLevel 10 · 2,108 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (57 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,108 → 2,108
+138Tracked matches · now 3,286
−6.7ppWin rate · 33.3% → 26.7%

Rating over time

Premier CS Rating: 23,404 +0 20 Jun – 4 Sept · 3 days played
23,40423,404peak 23,40420 Jun4 Sept
Faceit ELO: 2,108 +0 3 Sept – 4 Sept · 2 observations
2,1082,108peak 2,1083 Sept4 Sept
23,404Peak Premier in tracked matches
2,108Highest Faceit ELO seen on CSDB
56Days played since 2026-06-20

Faceit ELO

  • At peak — 2,108
  • Next: 2,500 ELO at 2,500 — 392 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate65.9%50.9%
Shot accuracy18.3%13.7%
Kill/death ratio0.851.09
Match win rate47.4%48.4%

Share this profile

CSDB.GGharborFACEITLevel 10 · 2,108 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,108csdb.gg/stats

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Performance scores

Aim89
Positioning57
Utility62

0–100 skill scores via Leetify.

Recent form

COLD33–66–1Last 10033%Win rateWLLLLLLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +2.8pp headshot accuracy · +4ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 584ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 532ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

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 (+1.3 against its own average).

Aim8.9
Utility6.2
Positioning5.7
Opening Duels3.7
Clutch3.8

Sharp aimerStrong T-side opener

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: aim profile, utility contribution.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 61% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim8.9
Positioning5.7
Utility6.2
Mechanics7.2
Opening Duels4.6
Win Impact0.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time531ms−0ms
first ⅓ avg 531ms → last ⅓ avg 531ms
Headshot accuracy20.0%−1.1%
first ⅓ avg 21.1% → last ⅓ avg 20.0%

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

0.10Best match rating · 8–13 · nuke, 20 Jun →
33%Best headshot accuracy · 5–13 · inferno, 12 Oct →
359msFastest reaction time · 6–13 · ancient, 10 Sept →
13–1Biggest win · mirage, 27 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–17In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 43% over 23dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2810–1836%0.00
infernoC2310–1343%-0.02
ancientD155–1033%0.00
dust2D91–811%-0.02
nukeD93–633%0.00
anubisC83–538%0.02
cacheD71–614%-0.02
vertigo—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

802,137Lifetime kills
0.85K/D
14,949Matches
47.4%Match win rate
65.9%Headshot % · Top 10% of Level 10 players
18.3%Shot accuracy · Top 25% of Level 10 players
40,405MVPs
44,862Hours (in match)
15,431Bombs planted
5,383Bombs defused

Most-used weapons

AK-47478,025
AWP45,666
Glock-1813,803
FAMAS7,369
AUG7,047
P2506,844

Lifetime map wins

30,624inferno
19,413dust2
8,550train
7,738nuke
4,266vertigo
4,034cbble
969lake
93ar_shoots

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

Faceit stats

Combat

4,552Matches
52%Win rate
1.17Avg K/D
77.5ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage36849%1.0815.7
Ancient30353%1.1316.0
Inferno18749%1.0214.8
Anubis18152%1.0816.0
Nuke17249%1.0515.3
Dust215542%1.0215.8
Overpass4149%1.2216.6
Train3661%1.2016.1

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.

20.5%Headshot accuracy
39.2%Accuracy (enemy spotted)
45.7%Spray accuracy
82.2%Counter-strafing
9.2°Preaim
521msReaction time
60.9%T opening success
36.3%CT opening success
0.56Enemies flashed / flash
7.4%Flash assists
7.44HE damage / grenade
10.68Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.2992% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–30.1033%30 Oct →
dust211–130.0324%30 Oct →
dust23–13-0.0730%30 Oct →
mirage9–13-0.0222%29 Oct →
ancient9–130.0419%27 Oct →
inferno8–13-0.0133%18 Oct →
inferno11–130.0030%17 Oct →
nuke13–110.019%16 Oct →
cache3–13-0.017%15 Oct →
mirage13–8-0.0117%15 Oct →
inferno3–13-0.0521%13 Oct →
cache6–13-0.0420%13 Oct →
inferno3–13-0.0521%13 Oct →
cache6–13-0.0420%13 Oct →
inferno10–13-0.0512%13 Oct →
mirage0–40.0210%12 Oct →
mirage6–10-0.0318%12 Oct →
inferno5–13-0.0433%12 Oct →
mirage13–70.0919%11 Oct →
dust211–130.0220%9 Oct →
ancient11–130.0121%9 Oct →
inferno13–11-0.0414%7 Oct →
mirage0–13-0.075%7 Oct →
inferno13–7-0.0031%7 Oct →
mirage13–70.0924%3 Oct →
anubis2–13-0.0326%1 Oct →
mirage8–13-0.0412%28 Sept →
anubis4–13-0.0427%26 Sept →
ancient13–30.0720%25 Sept →
inferno4–13-0.0112%24 Sept →
dust210–13-0.0315%24 Sept →
inferno13–110.0121%24 Sept →
anubis16–140.0418%22 Sept →
ancient6–13-0.0019%22 Sept →
inferno7–13-0.0120%22 Sept →
cache9–13-0.0120%22 Sept →
mirage11–13-0.028%21 Sept →
anubis6–130.0324%19 Sept →
dust28–13-0.0225%19 Sept →
ancient11–13-0.0114%17 Sept →
ancient13–110.0114%16 Sept →
inferno12–160.0333%15 Sept →
mirage13–70.0311%13 Sept →
inferno19–17-0.0426%12 Sept →
mirage13–60.0220%12 Sept →
mirage10–13-0.0022%11 Sept →
cache11–130.0510%10 Sept →
ancient6–13-0.0324%10 Sept →
dust210–130.0115%8 Sept →
ancient5–13-0.0814%8 Sept →
dust213–9-0.0319%8 Sept →
ancient13–60.0824%5 Sept →
inferno9–13-0.0226%5 Sept →
nuke9–13-0.0217%5 Sept →
mirage9–13-0.0020%4 Sept →
nuke6–13-0.0619%4 Sept →
inferno13–50.0426%4 Sept →
mirage13–50.0215%3 Sept →
dust214–16-0.0229%2 Sept →
anubis6–13-0.0223%1 Sept →
mirage5–130.0116%31 Aug →
inferno19–170.0122%31 Aug →
ancient13–30.0821%31 Aug →
mirage13–10.0327%27 Aug →
dust23–13-0.0419%22 Aug →
mirage9–13-0.0219%21 Aug →
anubis13–8-0.017%21 Aug →
mirage13–30.0111%21 Aug →
cache5–13-0.0721%21 Aug →
nuke10–130.0217%20 Aug →
inferno17–19-0.0620%17 Aug →
inferno13–90.0325%14 Aug →
mirage9–13-0.0521%11 Aug →
cache16–13-0.0521%10 Aug →
mirage7–13-0.0722%9 Aug →
ancient2–13-0.0716%9 Aug →
inferno6–13-0.0624%6 Aug →
mirage11–130.0310%6 Aug →
mirage14–16-0.0317%5 Aug →
vertigo14–160.0317%5 Aug →
nuke3–130.0124%5 Aug →
inferno17–190.0017%5 Aug →
mirage13–80.0124%5 Aug →
ancient11–130.0131%3 Aug →
nuke13–7-0.0023%29 Jul →
mirage13–110.0124%21 Jul →
nuke13–8-0.0116%21 Jul →
inferno13–4-0.0723%19 Jul →
inferno13–70.0119%13 Jul →
mirage11–130.0622%10 Jul →
ancient13–7-0.0327%10 Jul →
mirage10–130.0217%10 Jul →
inferno13–8-0.0124%10 Jul →
mirage5–13-0.0319%7 Jul →
anubis12–120.1030%7 Jul →
mirage7–13-0.0120%1 Jul →
ancient11–13-0.0331%30 Jun →
nuke8–130.1014%20 Jun →
nuke1–13-0.0431%20 Jun →
ancient11–13-0.0120%20 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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