Sawdom

Sawdom — CS2 Stats

76561198068722627[U:1:108456899]Steam profile ↗✓ No bans

2,969Tracked matches53%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating22,685Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47438 of 259982 tracked
FaceitLevel 9 · 1,615 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,685 +822 2 Sept – 15 Oct · 4 days played
21,86323,091peak 23,0912 Sept15 Oct
Faceit ELO: 1,615 +0 2 Sept – 3 Sept · 2 observations
1,6151,615peak 1,6152 Sept3 Sept
23,091Peak Premier in tracked matches
1,615Highest Faceit ELO seen on CSDB
19Days played since 2026-09-02

Faceit ELO

  • At peak — 1,615
  • Next: Level 9 at 1,751 — 136 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-02
  • Level 7 first seen 2026-09-02

Premier CS Rating

  • 406 below peak (23,091)
  • Next: Red band at 25,000 — 2,315 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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.GGSawdomFACEITLevel 9 · 1,615 ELOSTANDINGTop 20.7% of rankedPREMIER22,685 · Pink bandPEAK ELO1,615csdb.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

Aim60
Positioning62
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateLLLLLWWLWW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.2pp headshot accuracy · −41ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 452ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 468ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 488ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.0
Utility6.3
Positioning6.2
Opening Duels4.5
Clutch3.6

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 77% 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

Counter-strafing. Only 61% 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

Aim6.0
Positioning6.2
Utility6.3
Mechanics2.6
Opening Duels6.0
Win Impact6.1

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time488ms−34ms
first ⅓ avg 522ms → last ⅓ avg 488ms
Headshot accuracy9.6%−2.5%
first ⅓ avg 12.1% → last ⅓ avg 9.6%

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

0.10Best match rating · 13–5 · dust2, 23 Oct →
21%Best headshot accuracy · 13–11 · dust2, 11 Oct →
375msFastest reaction time · 13–5 · inferno, 3 Nov →
13–0Biggest win · inferno, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
7–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 56% over 18ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2916–1355%0.01
dust2C187–1139%0.01
cacheA1810–856%0.00
ancientD175–1229%-0.02
nukeC166–1038%-0.01
mirage—21–150%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,715Matches
50%Win rate
1.07Avg K/D
73.0ADR
31%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno24161%1.1315.3
Ancient13144%0.9314.5
Nuke9649%1.1015.6
Dust28341%0.9915.0
Cache6057%1.0614.0
Overpass5048%0.9613.9
Anubis3438%0.9312.9
Mirage2934%1.0112.4

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.

9.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.5%Spray accuracy
61.5%Counter-strafing
8.9°Preaim
486msReaction time
52.6%T opening success
55.2%CT opening success
0.65Enemies flashed / flash
7.2%Flash assists
8.80HE damage / grenade
10.16Flashes / 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 9.5563% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–16-0.015%5 Nov →
ancient18–22-0.026%4 Nov →
ancient9–13-0.0111%4 Nov →
inferno6–13-0.0511%4 Nov →
inferno7–13-0.0313%4 Nov →
ancient13–50.0213%4 Nov →
inferno13–70.028%4 Nov →
dust27–13-0.0012%4 Nov →
inferno13–50.0115%3 Nov →
inferno13–100.065%3 Nov →
inferno13–50.065%3 Nov →
cache8–13-0.0713%3 Nov →
nuke16–130.0013%3 Nov →
dust213–100.0717%1 Nov →
ancient13–9-0.053%1 Nov →
cache13–11-0.0117%1 Nov →
cache13–40.0210%1 Nov →
dust27–130.038%31 Oct →
ancient11–13-0.018%31 Oct →
cache4–13-0.083%31 Oct →
ancient13–80.046%31 Oct →
nuke4–13-0.047%31 Oct →
inferno13–60.0011%31 Oct →
inferno13–5-0.0115%27 Oct →
dust216–130.0714%27 Oct →
cache2–13-0.079%27 Oct →
dust28–13-0.034%27 Oct →
inferno8–130.0112%27 Oct →
nuke13–8-0.047%24 Oct →
cache13–70.054%24 Oct →
inferno13–90.0213%24 Oct →
nuke9–13-0.016%24 Oct →
ancient9–130.0112%24 Oct →
nuke13–160.0310%24 Oct →
nuke13–110.076%23 Oct →
dust213–6-0.0013%23 Oct →
ancient13–70.0111%23 Oct →
dust213–50.1015%23 Oct →
cache13–70.027%23 Oct →
inferno13–40.024%23 Oct →
ancient6–13-0.0610%22 Oct →
mirage13–5-0.0314%22 Oct →
dust211–13-0.0017%22 Oct →
cache13–70.0111%22 Oct →
nuke9–13-0.016%22 Oct →
inferno14–160.0113%19 Oct →
mirage10–13-0.034%19 Oct →
nuke6–130.0111%18 Oct →
ancient10–13-0.0115%18 Oct →
inferno13–30.028%18 Oct →
cache4–130.0014%18 Oct →
inferno13–30.0114%18 Oct →
inferno9–13-0.014%18 Oct →
inferno4–13-0.0218%15 Oct →
ancient9–13-0.0716%15 Oct →
cache16–140.0014%15 Oct →
dust29–13-0.0514%15 Oct →
nuke13–8-0.034%15 Oct →
cache4–13-0.059%14 Oct →
nuke15–19-0.0014%14 Oct →
ancient13–110.018%14 Oct →
cache9–130.0212%14 Oct →
inferno4–13-0.0413%14 Oct →
dust29–130.027%14 Oct →
ancient5–13-0.0610%11 Oct →
inferno10–13-0.042%11 Oct →
dust210–13-0.0610%11 Oct →
ancient9–13-0.0314%11 Oct →
dust213–110.0121%11 Oct →
dust213–80.0721%11 Oct →
cache13–50.035%11 Oct →
inferno13–16-0.0211%10 Oct →
cache13–30.0213%10 Oct →
cache13–30.0616%10 Oct →
inferno13–100.008%10 Oct →
cache13–40.0314%10 Oct →
nuke4–13-0.049%10 Oct →
inferno13–00.0810%10 Oct →
ancient17–19-0.0510%3 Oct →
inferno13–70.0515%3 Oct →
nuke5–13-0.0610%3 Oct →
inferno11–130.0013%3 Oct →
inferno13–100.059%2 Oct →
dust213–11-0.0213%2 Oct →
ancient6–130.0010%2 Oct →
inferno13–80.0110%2 Oct →
dust211–13-0.0115%2 Oct →
cache11–130.0116%2 Oct →
inferno13–90.008%2 Oct →
nuke13–3-0.0113%2 Oct →
ancient8–130.0010%2 Oct →
dust29–13-0.0711%2 Oct →
dust216–19-0.027%27 Sept →
cache11–130.019%27 Sept →
nuke9–13-0.0414%27 Sept →
nuke16–14-0.0112%27 Sept →
inferno11–130.0314%27 Sept →
nuke3–13-0.0619%27 Sept →
inferno8–13-0.036%27 Sept →
inferno11–13-0.0215%26 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.