Awood626

Awood626 — CS2 Stats

US76561198999107007[U:1:1038841279]Steam profile ↗✓ No bans

630Tracked matches41%Win rate2022Tracked since
347Hours in CS
CSDB Rating3.6 LearningPositional Player
Premier CS Rating11,146Blue band · top ~48.8% of ranked players (population est.)
FaceitLevel 4 · 893 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 630 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,146 -396 5 Jul – 14 Sept · 22 days played
10,59113,160peak 13,1605 Jul14 Sept
13,160Peak Premier in tracked matches
893Highest Faceit ELO seen on CSDB
34Days played since 2026-07-05

Faceit ELO

  • At peak — 893
  • Next: Level 4 at 901 — 8 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-14
  • Level 2 first seen 2026-09-14

Premier CS Rating

  • 2,014 below peak (13,160)
  • -321 over 30 days · steady
  • Next: Purple band at 15,000 — 3,854 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 14 Sep 2026 and 15 Oct 2026.

Measured 14 Sep 2026 → 15 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=14,247), 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 rate34.8%42.7%43.7%9.0% short
Shot accuracy2.8%11.3%12.0%9.2% short
Kill/death ratio0.840.991.020.18 short
Match win rate47.8%43.9%44.7%above

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

Widest gap: Shot accuracy. 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.GGAwood626FACEITLevel 4 · 893 ELOSTANDINGTop 81.0% of rankedPREMIER11,146 · Blue bandPEAK ELO893csdb.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

Aim46
Positioning38
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLLWWLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.8pp headshot accuracy · +43ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 677ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 705ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 683ms

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 (+1.3 against its own average).

Aim4.6
Utility3.6
Positioning3.8
Opening Duels2.5
Clutch0.0

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

jL

Plays most like jL 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 656ms 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

Aim4.6
Positioning3.8
Utility3.6
Mechanics5.5
Opening Duels1.2
Win Impact2.1

Composite 3.6/10 (Learning), 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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time659ms−1ms
first ⅓ avg 660ms → last ⅓ avg 659ms
Headshot accuracy14.0%+1.7%
first ⅓ avg 12.3% → last ⅓ avg 14.0%

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

0.11Best match rating · 13–3 · train, 18 Aug →
43%Best headshot accuracy · 3–9 · poseidon, 4 Aug →
453msFastest reaction time · 13–8 · vertigo, 9 Aug →
13–2Biggest win · nuke, 27 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 58% over 12infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
nukeB1910–953%-0.01
dust2D164–1225%-0.06
cacheA127–558%-0.01
vertigoD93–633%-0.01
ancientD72–529%-0.05
infernoD61–517%-0.03
train—41–325%0.01
anubis—31–233%-0.03
poseidon—10–10%-0.19

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,829Lifetime kills
0.84K/D
913Matches
47.8%Match win rate · Top 25% of Level 4 players
34.8%Headshot %
2.8%Shot accuracy
1,642MVPs
347Hours (in match)
1,267Bombs planted
192Bombs defused

Most-used weapons

Lifetime map wins

2,110dust2
1,663nuke
774inferno
180vertigo
172train
2ar_shoots
1stmarc

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

Faceit stats

Combat

79Matches
52%Win rate
0.85Avg K/D
70.8ADR
36%Headshot %

Clutches & streaks

19%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3047%0.9313.1
Dust21741%0.7211.6
Nuke1070%0.9915.2
Cache729%0.6111.1
Ancient650%0.8813.2
Overpass367%0.9217.0
Inferno3100%1.2219.7
Anubis3100%0.355.7

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.

13.7%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.9%Spray accuracy
74.8%Counter-strafing
12.5°Preaim
656msReaction time
36.1%T opening success
33.6%CT opening success
0.62Enemies flashed / flash
5.6%Flash assists
9.32HE damage / grenade
4.95Flashes / 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 12.5477° — 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 13.7167% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.059%1 Sept →
cache10–130.0212%31 Aug →
cache13–50.1019%31 Aug →
nuke13–5-0.078%31 Aug →
dust26–13-0.0624%31 Aug →
nuke13–70.007%23 Aug →
mirage13–11-0.0719%20 Aug →
train4–130.0117%18 Aug →
train13–30.1121%18 Aug →
train3–13-0.0527%18 Aug →
train1–11-0.0218%18 Aug →
mirage12–12-0.0713%18 Aug →
vertigo6–13-0.026%17 Aug →
dust211–13-0.0813%17 Aug →
mirage7–13-0.0030%16 Aug →
cache13–11-0.035%15 Aug →
nuke4–10.0317%15 Aug →
anubis7–13-0.0310%15 Aug →
nuke6–130.0120%15 Aug →
mirage13–8-0.0215%15 Aug →
inferno5–13-0.0416%15 Aug →
dust28–13-0.0315%13 Aug →
cache13–9-0.0113%12 Aug →
dust27–13-0.0610%12 Aug →
ancient9–13-0.076%12 Aug →
mirage13–60.0114%12 Aug →
anubis13–10-0.0113%11 Aug →
nuke9–13-0.006%11 Aug →
ancient4–13-0.0910%10 Aug →
vertigo13–80.0611%9 Aug →
vertigo4–13-0.0312%9 Aug →
vertigo7–13-0.0113%7 Aug →
vertigo7–130.0113%7 Aug →
inferno1–9-0.130%4 Aug →
poseidon3–9-0.1943%4 Aug →
vertigo9–30.068%3 Aug →
inferno9–40.0912%3 Aug →
mirage10–13-0.017%3 Aug →
vertigo9–13-0.0519%3 Aug →
inferno11–13-0.0511%2 Aug →
mirage6–13-0.049%31 Jul →
inferno9–13-0.033%31 Jul →
mirage14–16-0.0512%30 Jul →
ancient11–13-0.0714%30 Jul →
cache13–10-0.029%30 Jul →
dust28–13-0.0311%29 Jul →
vertigo13–7-0.0415%29 Jul →
mirage13–100.0213%29 Jul →
dust213–10-0.087%29 Jul →
cache13–6-0.0513%28 Jul →
dust213–16-0.0221%28 Jul →
dust211–13-0.077%28 Jul →
ancient15–15-0.0011%28 Jul →
mirage5–00.0213%28 Jul →
dust215–15-0.0313%28 Jul →
nuke13–10-0.0610%27 Jul →
nuke13–20.0810%27 Jul →
cache13–16-0.0216%27 Jul →
ancient13–9-0.0211%27 Jul →
cache11–13-0.099%24 Jul →
dust21–13-0.116%24 Jul →
mirage8–3-0.000%24 Jul →
ancient11–13-0.047%23 Jul →
dust22–13-0.1040%17 Jul →
nuke5–13-0.0415%17 Jul →
nuke13–50.0323%16 Jul →
nuke13–6-0.0117%16 Jul →
inferno9–13-0.0115%16 Jul →
dust213–10-0.0820%16 Jul →
nuke13–11-0.028%15 Jul →
dust213–9-0.038%15 Jul →
mirage13–9-0.038%15 Jul →
nuke8–13-0.0517%13 Jul →
vertigo8–8-0.1017%13 Jul →
nuke9–130.0413%12 Jul →
nuke7–130.0021%12 Jul →
ancient13–8-0.069%12 Jul →
cache7–13-0.049%12 Jul →
mirage13–110.0214%12 Jul →
mirage4–13-0.076%11 Jul →
mirage15–15-0.0511%11 Jul →
cache13–50.0311%10 Jul →
nuke6–130.014%10 Jul →
dust29–13-0.0915%10 Jul →
anubis11–13-0.067%10 Jul →
mirage13–60.1018%10 Jul →
nuke13–11-0.046%10 Jul →
mirage13–80.0214%10 Jul →
mirage13–7-0.0315%10 Jul →
dust213–11-0.0220%10 Jul →
nuke9–13-0.0610%9 Jul →
cache8–13-0.009%9 Jul →
mirage6–13-0.058%9 Jul →
cache13–11-0.0411%9 Jul →
mirage13–160.0013%6 Jul →
nuke8–20.0610%6 Jul →
nuke9–13-0.008%6 Jul →
mirage7–13-0.0524%6 Jul →
dust25–13-0.0717%6 Jul →
mirage13–90.0110%5 Jul →

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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