Spod

Spod — CS2 Stats

76561198044644752[U:1:84379024]Steam profile ↗✓ No bans

488Tracked matches43%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 9 · 1,801 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 488 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,737 +1,985 13 May – 3 Jan · 34 days played
16,88820,113peak 20,11313 May3 Jan
20,485Peak Premier in tracked matches
1,801Highest Faceit ELO seen on CSDB
54Days played since 2024-05-13

Faceit ELO

  • At peak — 1,801
  • Next: Level 10 at 2,001 — 200 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

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.GGSpodFACEITLevel 9 · 1,801 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,801csdb.gg/stats

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Performance scores

Aim72
Positioning62
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLWLLWLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −3.6pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 603ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 607ms

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 against its own average).

Aim7.2
Utility5.2
Positioning6.2
Opening Duels3.4
Clutch5.8

Strong 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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 51% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 597ms 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

Aim7.2
Positioning6.2
Utility5.2
Mechanics7.1
Opening Duels3.1
Win Impact2.8

Composite 5.5/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time602ms+24ms
first ⅓ avg 577ms → last ⅓ avg 602ms
Headshot accuracy20.8%−1.6%
first ⅓ avg 22.4% → last ⅓ avg 20.8%

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

0.21Best match rating · 9–0 · vertigo, 14 May →
40%Best headshot accuracy · 7–13 · dust2, 13 May →
445msFastest reaction time · 3–13 · ancient, 2 Nov →
13–2Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 64% over 11dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3014–1647%0.01
infernoC218–1338%0.02
ancientA1610–663%0.02
vertigoA117–464%0.04
dust2D103–730%0.00
nukeC52–340%-0.01
overpass—32–167%0.09
train—21–150%0.09
anubis—21–150%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

316Matches
55%Win rate
1.23Avg K/D
85.3ADR
50%Headshot %

Clutches & streaks

49%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust23266%1.1917.4
Mirage2548%1.1617.8
Inferno2370%1.3015.9
Ancient1644%1.3517.3
Overpass862%1.2718.8
Nuke333%1.0416.3
Anubis367%0.6011.3
Cache2100%1.5025.0

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.

20.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.6%Spray accuracy
81.9%Counter-strafing
9.8°Preaim
597msReaction time
51.0%T opening success
33.5%CT opening success
0.61Enemies flashed / flash
5.4%Flash assists
13.07HE damage / grenade
9.28Flashes / 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 33.5071% — 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.

30% win rate across 10 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
ancient11–130.0010%4 Jul →
mirage13–100.0521%14 May →
mirage7–130.0518%14 May →
ancient13–6-0.0116%29 Apr →
inferno11–130.0427%5 Jan →
ancient8–13-0.0121%3 Jan →
ancient13–110.0623%3 Jan →
mirage8–130.0014%3 Jan →
inferno13–110.0418%2 Jan →
mirage10–13-0.0214%28 Dec →
ancient13–110.0117%28 Dec →
dust213–60.0129%27 Dec →
inferno8–13-0.0233%15 Aug →
mirage10–13-0.0323%15 Aug →
overpass13–160.0820%15 Aug →
mirage2–10-0.0810%15 Aug →
mirage11–13-0.0315%14 Aug →
mirage8–13-0.0424%12 Aug →
inferno13–9-0.0129%10 Aug →
inferno4–13-0.0219%10 Aug →
ancient13–90.0728%9 Aug →
mirage13–110.0223%7 Aug →
overpass13–60.1217%7 Aug →
inferno3–130.0533%6 Aug →
ancient8–130.019%6 Aug →
ancient3–13-0.0418%5 Aug →
overpass16–130.0724%25 Jul →
mirage16–120.0322%25 Jul →
inferno13–70.0317%23 Jul →
mirage9–13-0.0131%22 Jul →
nuke2–13-0.0622%16 Jul →
mirage8–00.0526%9 Jul →
inferno12–16-0.0317%9 May →
mirage13–90.0220%9 May →
vertigo11–130.0616%5 May →
nuke10–130.0220%5 May →
train12–120.1124%5 May →
inferno10–130.1018%1 May →
train13–100.0729%30 Apr →
dust26–13-0.0126%3 Jan →
inferno9–130.0522%23 Dec →
ancient13–70.0216%20 Dec →
mirage9–13-0.0114%12 Dec →
mirage13–70.0329%10 Dec →
mirage13–16-0.0315%28 Nov →
ancient13–90.0734%28 Nov →
mirage6–13-0.0229%22 Nov →
mirage9–13-0.0133%15 Nov →
inferno10–13-0.0421%10 Nov →
dust27–130.0525%10 Nov →
vertigo13–50.0220%10 Nov →
mirage13–110.0429%10 Nov →
inferno11–130.0336%9 Nov →
inferno13–80.0012%9 Nov →
dust24–13-0.080%9 Nov →
vertigo13–8-0.0120%9 Nov →
inferno13–30.1326%7 Nov →
mirage13–50.0728%7 Nov →
mirage13–3-0.0819%7 Nov →
dust211–13-0.0215%6 Nov →
vertigo11–130.0221%6 Nov →
inferno5–13-0.0119%6 Nov →
mirage3–13-0.0213%4 Nov →
inferno13–110.0925%4 Nov →
ancient3–130.0723%2 Nov →
dust27–11-0.0322%2 Nov →
mirage13–9-0.0630%1 Nov →
nuke13–2-0.037%1 Nov →
nuke13–70.0429%28 Oct →
anubis13–20.0618%18 Oct →
ancient13–110.0325%2 Jun →
vertigo13–4-0.0438%31 May →
inferno15–150.0719%22 May →
inferno13–90.0316%22 May →
ancient13–110.0621%22 May →
inferno8–13-0.0110%21 May →
dust213–60.0816%21 May →
vertigo16–140.0423%20 May →
ancient13–11-0.0118%19 May →
vertigo13–110.0824%19 May →
nuke3–13-0.0113%18 May →
mirage13–8-0.0026%18 May →
mirage11–130.0734%17 May →
vertigo3–130.0319%16 May →
mirage13–40.0714%16 May →
inferno5–13-0.0418%15 May →
inferno16–120.0724%14 May →
vertigo5–130.0224%14 May →
vertigo13–7-0.0018%14 May →
ancient4–130.0326%14 May →
dust216–140.0124%14 May →
ancient13–9-0.0120%14 May →
vertigo9–00.2133%14 May →
mirage6–130.0325%13 May →
mirage13–60.0926%13 May →
dust211–13-0.0223%13 May →
anubis10–13-0.0018%13 May →
mirage9–130.0121%13 May →
dust27–130.0240%13 May →
mirage13–90.0127%13 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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