Spectrion

Spectrion — CS2 Stats

GB76561198176473031[U:1:216207303]Steam profile ↗✓ No bans

838Tracked matches48%Win rate2021Tracked since
2,213Hours in CS
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 838 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,869 +3,932 27 Sept – 19 Jan · 23 days played
8,35912,869peak 12,86927 Sept19 Jan
12,869Peak Premier in tracked matches
45Days played since 2025-01-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 24 Sep 2026 and 28 Oct 2026.

Measured 24 Sep 2026 → 28 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate37.2%42.7%43.8%6.6% short
Shot accuracy24.3%11.2%12.0%above
Kill/death ratio0.940.991.020.08 short
Match win rate38.4%43.9%44.7%6.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpectrionFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim57
Positioning59
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWLWWWLWWL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · +32ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 525ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 585ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 568ms

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).

Aim5.7
Utility4.6
Positioning5.9
Opening Duels4.4
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

m0NESY

Plays most like m0NESY 80% 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. 563ms 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

Aim5.7
Positioning5.9
Utility4.6
Mechanics4.6
Opening Duels4.1
Win Impact4.4

Composite 5.1/10 (Developing), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time565ms−48ms
first ⅓ avg 613ms → last ⅓ avg 565ms
Headshot accuracy11.4%−3.6%
first ⅓ avg 15.0% → last ⅓ avg 11.4%

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

0.20Best match rating · 13–7 · nuke, 6 Nov →
100%Best headshot accuracy · 15–15 · ancient, 2 Sept →
406msFastest reaction time · 8–8 · inferno, 17 Jan →
13–2Biggest win · nuke, 29 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 71% over 14trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA2715–1256%0.05
ancientC166–1038%0.04
mirageC146–843%0.02
infernoA149–564%0.03
overpassS1410–471%0.06
trainD50–50%-0.00
anubis—32–167%0.04
dust2—31–233%-0.01
cache—20–20%0.00
vertigo—10–10%-0.02
office—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

53,850Lifetime kills
0.94K/D
1,841Matches
38.4%Match win rate
37.2%Headshot %
24.3%Shot accuracy · Top 1% of Level 4 players
3,603MVPs
2,213Hours (in match)
999Bombs planted
316Bombs defused

Most-used weapons

Lifetime map wins

2,224inferno
2,173dust2
2,108nuke
1,050train
772vertigo
73office
68lake
54ar_shoots

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

Faceit stats

Combat

73Matches
48%Win rate
1.01Avg K/D
68.0ADR
28%Headshot %

Clutches & streaks

25%1v1 clutch win
50%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.7213.0
Anubis10%1.1515.0
Inferno1100%0.5910.0

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.

11.6%Headshot accuracy
38.5%Accuracy (enemy spotted)
40.2%Spray accuracy
70.8%Counter-strafing
12.4°Preaim
563msReaction time
44.4%T opening success
48.7%CT opening success
0.60Enemies flashed / flash
11.6%Flash assists
8.54HE damage / grenade
3.75Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3862° — above the 12° mark we flag

    Aim Training →
  2. 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 11.5598% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 3.7549 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage0–3-0.090%14 Sept →
mirage13–6-0.0510%14 Sept →
cache10–13-0.0414%10 Sept →
nuke13–100.0713%10 Sept →
inferno13–70.0815%11 Aug →
anubis13–8-0.0213%11 Aug →
inferno5–130.0315%8 Aug →
ancient13–11-0.0311%8 Aug →
mirage13–40.0115%8 Aug →
mirage11–130.0410%17 Jul →
cache6–130.0525%11 Jul →
anubis11–130.1013%11 Jul →
nuke13–20.0210%29 Jun →
overpass13–60.0517%29 Jun →
vertigo9–13-0.0211%5 Jun →
inferno3–13-0.0511%31 May →
anubis13–50.047%31 May →
ancient15–150.016%5 Apr →
overpass12–16-0.0010%5 Apr →
nuke5–130.0318%5 Apr →
inferno13–110.0119%5 Apr →
ancient14–160.159%5 Apr →
ancient7–130.0115%31 Mar →
ancient13–80.037%31 Mar →
nuke13–30.117%11 Mar →
mirage5–13-0.019%11 Mar →
nuke4–130.015%11 Mar →
mirage13–60.029%26 Feb →
inferno13–70.0910%26 Feb →
nuke10–13-0.014%26 Feb →
overpass13–30.1111%19 Jan →
inferno13–110.039%19 Jan →
ancient12–160.0315%19 Jan →
mirage13–50.0715%19 Jan →
inferno8–80.005%17 Jan →
overpass9–30.139%17 Jan →
inferno9–10.084%17 Jan →
ancient5–130.0310%17 Jan →
nuke4–13-0.0318%16 Jan →
nuke13–80.045%15 Jan →
train8–13-0.047%15 Jan →
overpass13–90.065%15 Jan →
nuke13–20.2019%15 Jan →
inferno16–14-0.019%15 Jan →
mirage9–13-0.079%14 Jan →
inferno13–60.1112%13 Jan →
nuke13–40.029%13 Jan →
nuke9–130.1010%17 Dec →
dust24–130.0313%17 Dec →
inferno6–13-0.0312%16 Dec →
nuke14–160.0412%16 Dec →
nuke13–9-0.015%16 Dec →
ancient6–13-0.0714%15 Dec →
mirage11–130.0613%15 Dec →
overpass7–00.077%14 Dec →
nuke13–50.049%10 Dec →
overpass13–110.029%10 Dec →
nuke12–160.0411%10 Dec →
overpass13–6-0.045%25 Nov →
nuke3–13-0.0618%25 Nov →
ancient13–70.116%23 Nov →
ancient13–90.1013%19 Nov →
ancient13–50.1013%19 Nov →
nuke13–40.1510%19 Nov →
inferno13–30.0315%19 Nov →
overpass13–60.1110%19 Nov →
overpass13–90.1010%19 Nov →
train3–13-0.0215%18 Nov →
nuke13–80.1014%17 Nov →
train9–13-0.0118%13 Nov →
nuke12–12-0.004%13 Nov →
inferno4–130.0113%12 Nov →
mirage13–70.088%12 Nov →
inferno13–30.119%12 Nov →
overpass13–70.0918%12 Nov →
nuke13–30.0313%7 Nov →
ancient11–130.079%7 Nov →
dust22–13-0.048%7 Nov →
nuke15–150.0113%6 Nov →
nuke13–70.2013%6 Nov →
mirage6–130.1214%2 Nov →
overpass7–130.039%2 Nov →
ancient3–130.078%2 Nov →
overpass12–160.0816%28 Oct →
nuke13–90.1214%24 Oct →
ancient13–80.0413%5 Oct →
mirage13–50.058%5 Oct →
nuke16–120.0515%27 Sept →
mirage9–130.0719%27 Sept →
nuke7–130.068%12 Sept →
ancient15–15-0.11100%2 Sept →
mirage11–130.008%1 Sept →
train9–130.017%3 Aug →
dust213–11-0.0222%3 Aug →
overpass8–130.0113%2 Aug →
office9–13-0.0512%12 Jan →
nuke2–13-0.079%12 Jan →
nuke13–110.1712%12 Jan →
train8–130.0310%11 Jan →
ancient10–130.1121%11 Jan →

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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