TZ Davis

TZ Davis — CS2 Stats

KE76561198370503513[U:1:410237785]Steam profile ↗✓ No bans

1,273Tracked matches60%Win rate2023Tracked since
634Hours in CS
CSDB Rating5.2 DevelopingSupport
Premier CS Rating18,772Top 50% of 215,386 CSDB-tracked playersPurple band · top ~13.4% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,273 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,772 +4,301 30 Jul – 24 Oct · 23 days played
14,47118,799peak 18,79930 Jul24 Oct
19,169Peak Premier in tracked matches
29Days played since 2026-07-30

Premier CS Rating

  • 27 below peak (18,799)
  • 0 over 30 days · steady
  • +4,301 over 90 days
  • Next: Pink band at 20,000 — 1,228 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.9%44.4%46.9%8.0% short
Shot accuracy9.8%11.9%13.0%3.2% short
Kill/death ratio1.231.031.08above
Match win rate45.5%45.2%46.7%1.2% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTZ DavisPREMIER18,772 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning38
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLLWWWLWLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.3pp headshot accuracy · +30ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 590ms

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 (+2.6 against its own average).

Aim6.6
Utility5.2
Positioning3.8
Opening Duels1.5
Clutch0.0

Effective flashes

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

NiKo

Plays most like NiKo 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

Strengths

Flashes. 0.88 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 599ms 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

Aim6.6
Positioning3.8
Utility5.2
Mechanics5.0
Opening Duels0.7
Win Impact8.3

Composite 5.2/10 (Developing), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time593ms−46ms
first ⅓ avg 639ms → last ⅓ avg 593ms
Headshot accuracy15.1%−0.9%
first ⅓ avg 16.0% → last ⅓ avg 15.1%

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

0.18Best match rating · 13–3 · train, 24 Aug →
33%Best headshot accuracy · 13–1 · nuke, 6 Aug →
422msFastest reaction time · 6–13 · office, 24 Aug →
13–1Biggest win · mirage, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 71% over 31nukeWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageS3122–971%-0.00
nukeC156–940%-0.04
dust2B158–753%-0.01
infernoB147–750%0.01
ancientA95–456%0.02
cache—43–175%0.01
anubis—43–175%0.02
train—31–233%0.09
office—20–20%-0.01
boulder—11–0100%0.12
overpass—10–10%0.01
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,179Lifetime kills
1.23K/D · Top 25% of Purple band
2,681Matches
45.5%Match win rate · Top 50% of Purple band
38.9%Headshot %
9.8%Shot accuracy
8,961MVPs
634Hours (in match)
2,009Bombs planted
502Bombs defused

Most-used weapons

Lifetime map wins

4,347nuke
1,374vertigo
1,057dust2
750inferno
694office
486train
60ar_shoots
55lake

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

Faceit stats

Combat

11Matches
36%Win rate
1.19Avg K/D
80.3ADR
43%Headshot %

Clutches & streaks

20%1v1 clutch win
27%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage520%1.4418.2
Ancient250%0.8412.0
Nuke250%1.1815.5
Anubis1100%0.8214.0
Dust210%1.0715.0

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.

15.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.4%Spray accuracy
72.7%Counter-strafing
10.0°Preaim
599msReaction time
30.8%T opening success
34.4%CT opening success
0.88Enemies flashed / flash
1.8%Flash assists
5.01HE damage / grenade
10.94Flashes / 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 30.8386% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0110%11 Oct →
nuke2–13-0.0315%11 Oct →
mirage13–10-0.0415%29 Sept →
mirage13–10.008%28 Sept →
mirage13–10-0.027%11 Sept →
ancient4–13-0.0122%6 Sept →
inferno12–3-0.0110%6 Sept →
mirage8–130.0328%6 Sept →
dust213–40.0311%3 Sept →
mirage13–7-0.028%3 Sept →
mirage13–10-0.0020%30 Aug →
nuke5–13-0.065%30 Aug →
dust210–13-0.0422%29 Aug →
inferno13–10-0.0414%29 Aug →
ancient13–10-0.0115%29 Aug →
mirage13–6-0.0411%29 Aug →
ancient10–130.0529%29 Aug →
mirage13–110.016%28 Aug →
mirage6–13-0.0824%28 Aug →
nuke13–100.0720%27 Aug →
ancient6–13-0.0421%27 Aug →
nuke13–11-0.0511%27 Aug →
mirage8–13-0.019%27 Aug →
cache13–2-0.0612%27 Aug →
dust29–13-0.0323%27 Aug →
anubis7–13-0.0219%27 Aug →
mirage13–100.0215%27 Aug →
dust213–50.0218%27 Aug →
nuke9–50.0616%25 Aug →
nuke5–9-0.0214%25 Aug →
mirage13–80.0118%25 Aug →
nuke2–9-0.1915%25 Aug →
nuke1–9-0.284%25 Aug →
dust213–70.0318%25 Aug →
dust29–13-0.0214%25 Aug →
mirage9–130.0313%25 Aug →
nuke8–80.0813%25 Aug →
office6–13-0.0418%24 Aug →
boulder13–40.1218%24 Aug →
mirage13–8-0.0111%24 Aug →
inferno13–50.0129%24 Aug →
train13–30.1813%24 Aug →
overpass5–130.018%24 Aug →
dust213–11-0.0411%24 Aug →
dust215–15-0.0312%22 Aug →
inferno13–50.0422%22 Aug →
mirage13–5-0.0019%21 Aug →
nuke7–13-0.0315%21 Aug →
inferno13–30.1422%21 Aug →
dust213–9-0.0612%21 Aug →
mirage11–13-0.0510%21 Aug →
mirage13–110.0813%20 Aug →
cache13–30.0915%20 Aug →
inferno10–130.0318%20 Aug →
inferno13–40.0616%20 Aug →
mirage13–5-0.0117%20 Aug →
ancient13–110.0713%18 Aug →
train10–130.0514%18 Aug →
mirage13–60.0915%18 Aug →
mirage13–70.0725%17 Aug →
train6–130.0317%17 Aug →
inferno13–8-0.0411%17 Aug →
dust211–13-0.0413%17 Aug →
mirage13–2-0.0718%16 Aug →
cache4–13-0.0614%16 Aug →
ancient7–13-0.0110%16 Aug →
dust23–13-0.089%14 Aug →
mirage13–4-0.0113%14 Aug →
mirage13–10.0819%14 Aug →
cache13–40.0612%14 Aug →
mirage4–13-0.0216%14 Aug →
inferno1–13-0.1112%14 Aug →
nuke13–4-0.0411%13 Aug →
anubis13–90.047%13 Aug →
mirage16–120.037%8 Aug →
office2–90.0119%7 Aug →
inferno4–13-0.0115%7 Aug →
ancient13–90.0414%7 Aug →
dust213–7-0.0021%6 Aug →
nuke13–10.0133%6 Aug →
anubis13–70.0520%6 Aug →
mirage1–13-0.0425%4 Aug →
vertigo13–70.0920%3 Aug →
mirage6–13-0.0414%3 Aug →
nuke13–5-0.0113%3 Aug →
nuke4–9-0.1126%3 Aug →
ancient13–90.0216%3 Aug →
dust213–100.1122%3 Aug →
inferno9–130.0120%3 Aug →
mirage13–8-0.0119%2 Aug →
dust213–90.0415%2 Aug →
mirage12–16-0.0415%2 Aug →
inferno5–130.0116%2 Aug →
dust27–13-0.0810%2 Aug →
mirage13–20.0311%1 Aug →
anubis13–80.0212%31 Jul →
mirage13–5-0.0118%31 Jul →
nuke4–13-0.0511%31 Jul →
ancient13–100.098%30 Jul →
inferno5–130.0617%30 Jul →

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.