_tripleN

_tripleN — CS2 Stats

76561197995956178[U:1:35690450]Steam profile ↗✓ No bans

2,428Tracked matches40%Win rate2023Tracked since
2,546Hours in CS20Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
FaceitLevel 7 · 1,015 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,015 → 1,015
+96Tracked matches · now 2,428
+13.3ppWin rate · 26.7% → 40.0%

Rating over time

1,015Highest Faceit ELO seen on CSDB
41Days played since 2026-04-18

Faceit ELO

  • At peak — 1,015
  • Next: Level 5 at 1,051 — 36 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-02
  • Level 3 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.5%45.7%46.8%4.3% short
Shot accuracy4.1%12.7%13.0%8.8% short
Kill/death ratio0.861.051.060.21 short
Match win rate42.9%45.7%46.3%3.4% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_tripleNFACEITLevel 7 · 1,015 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,015csdb.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

Aim45
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLLLWLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −40ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 558ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 579ms

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).

Aim4.5
Utility4.6
Positioning5.8
Opening Duels2.2
Clutch3.0

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 72% 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

Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.5
Positioning5.8
Utility4.6
Mechanics3.5
Opening Duels3.8
Win Impact1.7

Composite 3.8/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time575ms−105ms
first ⅓ avg 679ms → last ⅓ avg 575ms
Headshot accuracy12.3%−0.7%
first ⅓ avg 12.9% → last ⅓ avg 12.3%

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

0.06Best match rating · 13–8 · ancient, 25 Apr →
24%Best headshot accuracy · 13–8 · ancient, 21 May →
453msFastest reaction time · 14–16 · inferno, 25 Oct →
13–0Biggest win · nuke, 24 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
4–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 61% over 28ancientWeakest map · 36% over 33
MapGradePlayedRecordWin rateAvg rating
ancientC3312–2136%-0.02
anubisA2817–1161%-0.03
infernoC198–1142%-0.03
nukeA106–460%-0.01
overpassB63–350%-0.03
dust2—20–20%-0.06
cache—21–150%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 33). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,466Lifetime kills
0.86K/D
3,726Matches
42.9%Match win rate
42.5%Headshot %
4.1%Shot accuracy
6,079MVPs
1,382Hours (in match)
4,455Bombs planted
845Bombs defused

Most-used weapons

AK-4716,274
AWP2,314
MP91,692
MP71,543
MAC-101,492
FAMAS1,443

Lifetime map wins

7,076inferno
5,280nuke
3,345dust2
962vertigo
742train
173italy
114cbble
25office

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

Faceit stats

Combat

1,507Matches
50%Win rate
0.84Avg K/D
67.4ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient42952%0.8413.0
Anubis33658%0.8713.3
Inferno31447%0.8112.4
Nuke24451%0.9013.6
Dust29334%0.7911.8
Train2744%0.7412.3
Overpass1753%0.8514.8
Mirage1414%0.6611.4

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.

11.5%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.6%Spray accuracy
65.9%Counter-strafing
11.2°Preaim
573msReaction time
51.5%T opening success
38.7%CT opening success
0.40Enemies flashed / flash
5.6%Flash assists
11.56HE damage / grenade
4.91Flashes / 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 11.496% — 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 0.4036 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 38.7258% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0210%1 Nov →
inferno14–16-0.056%25 Oct →
dust23–13-0.1019%25 Oct →
nuke13–9-0.056%20 Oct →
ancient8–13-0.0122%17 Oct →
ancient13–9-0.022%17 Oct →
ancient13–80.0113%16 Oct →
inferno2–13-0.0510%16 Oct →
ancient13–9-0.016%16 Oct →
ancient6–13-0.0810%8 Oct →
nuke13–5-0.0524%29 Sept →
ancient10–13-0.086%28 Sept →
ancient10–13-0.039%15 Sept →
ancient8–13-0.0212%14 Sept →
anubis13–110.0110%14 Sept →
ancient10–13-0.0613%14 Sept →
anubis13–70.0421%14 Sept →
anubis8–13-0.0715%14 Sept →
ancient13–50.0211%14 Sept →
anubis13–11-0.0311%14 Sept →
anubis13–11-0.1015%3 Sept →
anubis13–10-0.0413%31 Aug →
anubis8–13-0.0312%31 Aug →
anubis10–130.0010%31 Aug →
ancient7–13-0.055%31 Aug →
nuke9–13-0.0113%31 Aug →
anubis13–8-0.0310%29 Aug →
ancient7–13-0.068%28 Aug →
anubis5–13-0.0421%28 Aug →
inferno11–13-0.039%28 Aug →
nuke7–130.0119%27 Aug →
ancient11–13-0.0216%27 Aug →
nuke11–130.0118%27 Aug →
inferno9–130.0012%27 Aug →
inferno5–13-0.0714%27 Aug →
anubis9–13-0.0218%23 Aug →
ancient11–13-0.0512%23 Aug →
anubis13–10-0.019%23 Aug →
ancient9–130.0011%17 Aug →
ancient10–130.038%11 Aug →
inferno13–5-0.0115%11 Aug →
anubis7–13-0.015%11 Aug →
inferno13–9-0.0213%5 Aug →
anubis13–16-0.043%8 Jul →
ancient9–13-0.0512%8 Jul →
nuke19–15-0.0119%8 Jul →
nuke3–13-0.093%8 Jul →
inferno13–10.000%8 Jul →
overpass11–13-0.0310%27 Jun →
cache13–9-0.0519%27 Jun →
overpass13–60.0318%27 Jun →
anubis8–13-0.069%27 Jun →
inferno13–16-0.0210%23 Jun →
dust29–13-0.0218%23 Jun →
cache12–12-0.0619%21 Jun →
overpass3–13-0.126%14 Jun →
anubis13–11-0.0117%13 Jun →
inferno13–80.0012%13 Jun →
inferno13–70.0113%9 Jun →
ancient14–16-0.066%4 Jun →
inferno10–13-0.0615%4 Jun →
ancient13–40.015%4 Jun →
anubis14–16-0.1113%30 May →
inferno7–13-0.0511%26 May →
anubis16–130.0016%26 May →
inferno11–13-0.0612%26 May →
inferno13–5-0.0312%24 May →
anubis13–6-0.017%24 May →
ancient5–13-0.1011%24 May →
anubis13–9-0.0616%23 May →
anubis13–10-0.016%23 May →
ancient13–80.0024%21 May →
anubis13–10-0.0217%16 May →
inferno13–9-0.0721%16 May →
ancient7–13-0.057%16 May →
anubis13–9-0.069%5 May →
nuke13–80.0218%26 Apr →
overpass13–50.0421%26 Apr →
ancient13–8-0.036%25 Apr →
anubis11–13-0.0113%25 Apr →
anubis13–10-0.029%25 Apr →
inferno11–13-0.067%25 Apr →
ancient8–13-0.0614%25 Apr →
ancient13–80.0613%25 Apr →
inferno13–8-0.027%25 Apr →
ancient13–70.0015%25 Apr →
anubis13–100.019%24 Apr →
nuke13–0-0.0014%24 Apr →
nuke13–10.029%24 Apr →
ancient13–20.005%22 Apr →
ancient6–13-0.0213%22 Apr →
overpass12–16-0.0818%21 Apr →
inferno11–130.0019%19 Apr →
overpass13–60.0219%19 Apr →
ancient13–50.0519%18 Apr →
anubis16–13-0.0511%18 Apr →
ancient10–13-0.0312%18 Apr →
ancient11–13-0.0510%18 Apr →
ancient13–80.0221%18 Apr →
anubis8–13-0.087%18 Apr →

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 →

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