Tiger "Schniedel" Woods

Tiger "Schniedel" Woods — CS2 Stats

76561198018489352[U:1:58223624]Steam profile ↗✓ No bans

1,311Tracked matches66%Win rate2021Tracked since
CSDB Rating7.2 StrongAll-Rounder
Premier CS Rating19,995Top 50% of 204,412 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#83265 of 251538 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 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: 19,995 +5,213 24 May – 12 Oct · 37 days played
14,78221,004peak 21,00424 May12 Oct
21,358Peak Premier in tracked matches
47Days played since 2026-05-22

Premier CS Rating

  • 1,009 below peak (21,004)
  • +2,985 over 30 days · improving
  • Next: Pink band at 20,000 — 5 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGTiger "Schniedel" WoodsFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,995 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning62
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLTLLWWLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.7pp headshot accuracy · +98ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 623ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 575ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.3
Utility4.2
Positioning6.2
Opening Duels6.3

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 89% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 573ms 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

Aim8.3
Positioning6.2
Utility4.2
Mechanics7.4
Opening Duels7.3
Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time573ms−59ms
first ⅓ avg 632ms → last ⅓ avg 573ms
Headshot accuracy20.0%−1.8%
first ⅓ avg 21.8% → last ⅓ avg 20.0%

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

0.14Best match rating · 13–5 · nuke, 8 Jun →
50%Best headshot accuracy · 13–11 · cache, 23 May →
391msFastest reaction time · 2–13 · nuke, 29 Sept →
13–3Biggest win · inferno, 18 Sept →

Across the last 100 tracked matches.

Highlights

14Longest win streak
8–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%-0.00
nukeA1811–761%0.01
mirageB168–850%-0.00
cacheA127–558%-0.01
dust2C114–736%-0.01
ancientS96–367%0.01
anubisS54–180%0.03
train—21–150%-0.00
overpass—21–150%-0.07
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

91Matches
53%Win rate
1.06Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2365%1.1215.7
Mirage2045%0.9613.8
Ancient862%1.5318.8
Anubis862%1.3518.9
Nuke838%0.9813.9
Vertigo729%0.9219.1
Overpass771%0.7913.0
Dust2333%0.609.7

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.

19.7%Headshot accuracy
38.7%Accuracy (enemy spotted)
35.7%Spray accuracy
83.3%Counter-strafing
7.9°Preaim
573msReaction time
66.5%T opening success
51.9%CT opening success
0.43Enemies flashed / flash
9.3%Flash assists
10.93HE damage / grenade
3.77Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4269 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 11 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
dust213–90.0429%12 Oct →
inferno3–13-0.0317%12 Oct →
mirage15–15-0.0110%11 Oct →
nuke5–13-0.0710%11 Oct →
train4–13-0.107%11 Oct →
train13–70.0915%11 Oct →
anubis13–60.0420%10 Oct →
mirage6–13-0.0319%8 Oct →
nuke13–4-0.0024%3 Oct →
ancient6–130.0011%30 Sept →
mirage5–130.0114%30 Sept →
nuke2–13-0.0821%29 Sept →
inferno13–90.0010%29 Sept →
ancient13–70.0431%28 Sept →
dust27–13-0.0113%27 Sept →
ancient13–9-0.0617%27 Sept →
mirage14–16-0.0311%26 Sept →
mirage13–10-0.0015%25 Sept →
inferno13–16-0.0135%23 Sept →
cache13–8-0.0123%23 Sept →
inferno13–110.0015%20 Sept →
mirage13–8-0.0043%20 Sept →
nuke13–50.0333%20 Sept →
ancient13–80.0323%20 Sept →
inferno13–6-0.0117%20 Sept →
anubis13–11-0.0122%19 Sept →
nuke13–5-0.009%19 Sept →
inferno13–30.1129%18 Sept →
dust213–70.0232%17 Sept →
cache13–40.0218%17 Sept →
nuke13–40.0927%17 Sept →
ancient13–40.0719%16 Sept →
inferno13–100.0121%16 Sept →
dust24–13-0.0124%9 Sept →
inferno11–13-0.0317%8 Sept →
dust216–14-0.0322%8 Sept →
inferno6–13-0.0222%4 Sept →
dust27–13-0.0024%27 Aug →
ancient13–7-0.0123%27 Aug →
mirage16–12-0.0126%25 Aug →
dust210–13-0.0632%25 Aug →
anubis5–130.0327%22 Aug →
mirage8–130.0336%22 Aug →
nuke13–16-0.039%21 Aug →
nuke15–150.0013%19 Aug →
mirage13–10-0.0324%18 Aug →
nuke13–80.0333%18 Aug →
mirage13–70.0322%18 Aug →
nuke13–100.0421%17 Aug →
inferno13–6-0.0219%17 Aug →
nuke13–30.0220%17 Aug →
inferno11–13-0.0218%9 Aug →
mirage16–130.0214%9 Aug →
mirage13–5-0.0018%30 Jul →
inferno9–13-0.0424%26 Jul →
inferno2–13-0.0244%26 Jul →
inferno11–130.0324%25 Jul →
mirage13–110.0524%25 Jul →
ancient2–13-0.0228%17 Jul →
inferno13–11-0.0120%11 Jul →
mirage8–130.0116%18 Jun →
overpass1–13-0.0813%18 Jun →
nuke8–13-0.0313%13 Jun →
vertigo13–3-0.009%13 Jun →
anubis13–40.0715%13 Jun →
inferno11–130.0023%13 Jun →
inferno11–13-0.0124%12 Jun →
mirage14–16-0.0221%12 Jun →
dust213–3-0.0320%12 Jun →
inferno13–90.0113%12 Jun →
inferno13–50.0411%12 Jun →
dust212–160.0427%10 Jun →
anubis16–130.0214%10 Jun →
mirage9–13-0.0615%10 Jun →
overpass13–5-0.0710%10 Jun →
inferno5–13-0.0822%9 Jun →
cache10–13-0.0013%9 Jun →
nuke13–50.1436%8 Jun →
dust210–13-0.0425%8 Jun →
ancient13–90.0410%7 Jun →
dust212–16-0.0521%6 Jun →
inferno13–60.0727%6 Jun →
nuke13–80.0724%5 Jun →
nuke13–80.0327%31 May →
nuke13–6-0.0116%31 May →
ancient5–13-0.0126%25 May →
inferno14–120.008%25 May →
nuke13–16-0.0129%25 May →
cache13–50.0225%24 May →
cache12–120.0128%24 May →
cache13–11-0.046%24 May →
cache13–40.0425%24 May →
nuke6–13-0.0732%24 May →
inferno4–13-0.0923%24 May →
cache13–11-0.0650%23 May →
cache10–13-0.0523%23 May →
cache13–10-0.0130%23 May →
cache4–13-0.0635%23 May →
inferno13–5-0.0012%22 May →
cache9–130.0119%22 May →

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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