bond

bond — CS2 Stats

GB76561198065359126[U:1:105093398]Steam profile ↗✓ No bans

1,081Tracked matches57%Win rate2020Tracked since
CSDB Rating7.1 StrongSupport
Premier CS Rating26,544Top 5% of 180,525 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#8274 of 224700 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,081 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 24 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 26,544 +867 3 Jan3 Sept · 9 days played
25,67727,999peak 27,9993 Jan3 Sept
27,999Peak Premier in tracked matches
44Days played since 2025-12-24

Premier CS Rating

  • 1,455 below peak (27,999)
  • Next: Gold band at 30,000 3,456 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band 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.

Share this profile

CSDB.GGbondFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,544 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning57
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateLLLWWWLWLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −2.3pp headshot accuracy · +1ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 619ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 658ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 657ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim7.5
Utility7.4
Positioning5.7
Opening Duels4.0
Clutch3.6

Effective flashes

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 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 691ms 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

Aim7.5
Positioning5.7
Utility7.4
Mechanics8.0
Opening Duels3.6
Win Impact7.2

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time682ms+42ms
first ⅓ avg 640ms → last ⅓ avg 682ms
Headshot accuracy27.4%+6.8%
first ⅓ avg 20.6% → last ⅓ avg 27.4%

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

0.22Best match rating · 10–0 · dust2, 10 May
43%Best headshot accuracy · 13–7 · cache, 11 May
406msFastest reaction time · 1–13 · ancient, 30 Dec
13–1Biggest win · overpass, 30 Dec

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
84In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A1912763%0.04
mirageC1771041%0.01
infernoD123925%0.01
overpassS129375%0.04
nukeA116555%0.02
cacheS96367%0.05
trainS65183%-0.02
vertigo43175%-0.02
anubis43175%0.04
ancient31233%-0.06
warden2020%0.03
alpine1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,021Matches
55%Win rate
1.10Avg K/D
83.3ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21573%1.0214.8
Mirage1464%1.0415.8
Inferno1275%1.0715.4
Cache757%1.5418.4
Anubis540%1.0413.8
Nuke333%1.2117.7
Overpass2100%1.7217.0

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.

27.7%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.1%Spray accuracy
86.1%Counter-strafing
10.1°Preaim
691msReaction time
43.2%T opening success
45.4%CT opening success
0.82Enemies flashed / flash
13.3%Flash assists
15.47HE damage / grenade
7.02Flashes / match

Recommended for you

Spend your practice time on Inferno

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–130.0122%29 Aug
inferno7–130.0626%10 Jul
dust27–13-0.0724%10 Jul
dust213–100.0419%24 Jun
mirage13–100.0224%24 Jun
dust213–80.0535%23 Jun
mirage9–13-0.0423%23 Jun
dust213–90.0022%22 Jun
cache9–130.0229%20 Jun
cache9–130.0635%6 Jun
cache13–70.1336%12 May
cache6–130.0127%11 May
cache13–70.0543%11 May
dust210–00.2242%10 May
mirage1–10.000%10 May
mirage11–13-0.0227%10 May
mirage13–80.0832%7 May
nuke8–13-0.0324%5 May
inferno13–10-0.0223%4 May
vertigo9–30.0829%3 May
cache13–90.0641%1 May
dust213–60.0817%1 May
inferno13–110.0832%1 May
dust213–50.0426%1 May
mirage7–13-0.0223%1 May
cache13–70.0336%30 Apr
cache9–40.0713%29 Apr
cache13–7-0.0129%29 Apr
vertigo9–7-0.1527%24 Apr
train13–7-0.0427%23 Apr
warden8–130.0628%17 Apr
mirage8–13-0.0724%17 Apr
dust213–20.1941%3 Apr
overpass13–110.1016%12 Mar
inferno7–130.0127%12 Mar
dust210–13-0.0220%4 Mar
mirage16–13-0.0116%29 Jan
inferno8–130.0023%24 Jan
nuke13–90.0726%23 Jan
inferno5–130.0142%23 Jan
warden10–13-0.0126%22 Jan
alpine8–130.0413%22 Jan
overpass13–60.0618%15 Jan
mirage12–12-0.0514%15 Jan
train5–13-0.0321%15 Jan
inferno5–13-0.0118%15 Jan
nuke13–60.0428%14 Jan
anubis13–50.0018%14 Jan
inferno11–13-0.0125%14 Jan
overpass13–70.0330%14 Jan
anubis13–8-0.0213%12 Jan
overpass13–50.0822%12 Jan
dust26–13-0.0431%12 Jan
vertigo13–50.0215%12 Jan
train13–50.0126%11 Jan
anubis5–10.0431%11 Jan
mirage8–13-0.0315%11 Jan
train13–70.0013%11 Jan
nuke13–70.0727%11 Jan
inferno10–13-0.0433%11 Jan
nuke13–10-0.0219%9 Jan
train13–6-0.0817%9 Jan
dust213–90.0323%9 Jan
overpass13–11-0.0122%9 Jan
inferno13–16-0.0224%8 Jan
overpass8–130.0114%8 Jan
mirage13–20.0930%8 Jan
ancient9–13-0.1019%8 Jan
overpass7–13-0.0324%7 Jan
overpass9–130.0618%5 Jan
dust216–130.0416%5 Jan
mirage5–130.0121%5 Jan
nuke10–13-0.0226%4 Jan
dust213–30.0525%4 Jan
nuke13–40.0718%4 Jan
nuke13–80.0222%3 Jan
dust213–70.0525%3 Jan
overpass13–30.1526%3 Jan
train13–6-0.0124%3 Jan
nuke11–130.0222%3 Jan
nuke3–80.0525%30 Dec
ancient1–13-0.1116%30 Dec
dust213–80.0417%30 Dec
overpass13–10.0911%30 Dec
mirage8–130.0333%29 Dec
ancient13–20.0313%28 Dec
anubis12–120.1225%28 Dec
mirage13–110.0118%28 Dec
dust212–120.0328%28 Dec
nuke1–13-0.0819%28 Dec
dust213–16-0.0318%28 Dec
mirage13–70.0313%28 Dec
inferno13–110.0316%27 Dec
dust210–130.0514%27 Dec
mirage13–60.0719%27 Dec
overpass13–11-0.0416%27 Dec
vertigo4–13-0.0327%26 Dec
overpass13–11-0.0121%25 Dec
mirage9–130.0716%24 Dec
dust24–13-0.0228%24 Dec

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 →