sawny

sawny — CS2 Stats

NO76561198019532089[U:1:59266361]Steam profile ↗✓ No bans

1,838Tracked matches52%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating10,512Blue band · top ~52.2% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,838 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,512 +3,791 3 Jul – 23 Sept · 28 days played
5,94311,346peak 11,3463 Jul23 Sept
11,346Peak Premier in tracked matches
34Days played since 2026-07-03

Premier CS Rating

  • 834 below peak (11,346)
  • +512 over 30 days · improving
  • +3,791 over 90 days
  • Next: Purple band at 15,000 — 4,488 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGsawnyPREMIER10,512 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning41
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWLLWLWLWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −3.0pp headshot accuracy · +49ms 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 -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 657ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 671ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 646ms

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 (+2 against its own average).

Aim3.2
Utility5.8
Positioning4.1
Opening Duels1.6

Strong CT-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

Twistzz

Plays most like Twistzz 66% 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

T-side openings. Opening success drops from 49% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.2
Positioning4.1
Utility5.8
Mechanics2.9
Opening Duels2.3
Win Impact5.6

Composite 3.7/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time658ms−63ms
first ⅓ avg 721ms → last ⅓ avg 658ms
Headshot accuracy16.8%−1.5%
first ⅓ avg 18.4% → last ⅓ avg 16.8%

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

0.13Best match rating · 13–2 · nuke, 11 Aug →
43%Best headshot accuracy · 13–8 · inferno, 28 Jul →
453msFastest reaction time · 7–13 · inferno, 14 Aug →
13–0Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

14Longest win streak
9–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%0.01
infernoC197–1237%-0.01
mirageA159–660%-0.00
cacheA106–460%-0.01
anubisC104–640%0.00
nukeS97–278%0.03
ancientB84–450%-0.01
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

206Matches
48%Win rate
0.85Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis20%0.244.0
Inferno10%0.274.0
Mirage10%0.538.0

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.

16.4%Headshot accuracy
30.4%Accuracy (enemy spotted)
27.2%Spray accuracy
63.1%Counter-strafing
10.3°Preaim
655msReaction time
20.1%T opening success
48.5%CT opening success
0.59Enemies flashed / flash
6.1%Flash assists
8.33HE damage / grenade
11.10Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 20.0553% — below the 40% mark we flag

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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0314%19 Sept →
cache3–13-0.0611%19 Sept →
anubis0–13-0.0721%19 Sept →
dust26–4-0.0013%19 Sept →
mirage7–13-0.0119%19 Sept →
cache13–2-0.0117%14 Sept →
inferno9–130.019%14 Sept →
ancient13–20.0421%14 Sept →
dust213–8-0.059%7 Sept →
mirage13–16-0.029%27 Aug →
inferno6–13-0.1121%16 Aug →
inferno7–130.0214%14 Aug →
dust210–13-0.0321%14 Aug →
dust216–140.0722%14 Aug →
inferno11–13-0.0711%13 Aug →
dust215–15-0.0416%13 Aug →
anubis13–10-0.0212%13 Aug →
dust29–13-0.0019%12 Aug →
mirage13–80.0320%12 Aug →
nuke13–20.1317%11 Aug →
dust211–13-0.0319%11 Aug →
anubis6–130.0217%11 Aug →
inferno8–13-0.0615%11 Aug →
inferno13–11-0.029%10 Aug →
dust29–130.0430%10 Aug →
inferno13–100.0016%9 Aug →
mirage13–11-0.0519%9 Aug →
anubis4–2-0.0425%9 Aug →
dust213–0-0.0113%9 Aug →
vertigo8–7-0.0224%9 Aug →
dust213–10-0.0013%9 Aug →
inferno11–13-0.0121%9 Aug →
cache16–130.0520%8 Aug →
inferno13–7-0.0019%7 Aug →
mirage13–90.0115%7 Aug →
nuke11–13-0.0516%7 Aug →
anubis13–80.0414%3 Aug →
nuke13–70.0419%3 Aug →
anubis7–13-0.0226%2 Aug →
cache5–130.0420%2 Aug →
inferno13–90.018%2 Aug →
ancient13–80.0327%2 Aug →
cache13–110.0222%1 Aug →
inferno11–130.0920%1 Aug →
dust28–13-0.0331%1 Aug →
cache13–60.068%31 Jul →
dust24–130.0513%30 Jul →
inferno13–8-0.0343%28 Jul →
mirage0–100.025%28 Jul →
ancient13–4-0.0515%28 Jul →
inferno13–8-0.0514%28 Jul →
ancient13–3-0.0315%28 Jul →
dust213–100.0118%28 Jul →
nuke15–150.0113%28 Jul →
mirage11–130.0317%28 Jul →
ancient14–160.0219%27 Jul →
nuke13–3-0.017%27 Jul →
dust213–60.0510%27 Jul →
dust213–8-0.0113%27 Jul →
nuke13–30.0720%27 Jul →
dust213–90.0225%27 Jul →
anubis13–50.0821%27 Jul →
mirage16–130.0624%26 Jul →
nuke13–10-0.0111%25 Jul →
mirage13–70.0314%25 Jul →
dust213–10-0.0121%25 Jul →
dust213–40.0412%25 Jul →
cache13–10.0417%25 Jul →
mirage13–8-0.0517%25 Jul →
dust213–100.0818%25 Jul →
dust212–12-0.0833%24 Jul →
ancient3–13-0.0721%24 Jul →
inferno9–13-0.0015%24 Jul →
mirage9–13-0.0126%21 Jul →
ancient11–13-0.0616%20 Jul →
cache9–13-0.1113%20 Jul →
inferno15–150.0315%19 Jul →
nuke13–70.1016%19 Jul →
dust213–70.0315%19 Jul →
mirage6–13-0.0718%19 Jul →
nuke16–140.0126%18 Jul →
ancient15–150.0321%16 Jul →
anubis10–130.0216%15 Jul →
cache1–1-0.0325%15 Jul →
mirage13–70.0518%15 Jul →
dust25–130.0121%10 Jul →
dust213–80.0126%10 Jul →
inferno10–130.0130%10 Jul →
inferno15–150.0119%9 Jul →
dust27–130.0110%9 Jul →
mirage13–10-0.109%6 Jul →
cache1–13-0.053%6 Jul →
inferno8–13-0.037%6 Jul →
dust28–13-0.0415%6 Jul →
anubis15–15-0.0121%6 Jul →
dust213–50.0613%6 Jul →
anubis11–130.0317%6 Jul →
dust25–13-0.0731%4 Jul →
mirage13–80.0313%4 Jul →
dust216–120.0823%3 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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