ThatNinja

ThatNinja — CS2 Stats

US76561198131501818[U:1:171236090]Steam profile ↗✓ No bans

2,678Tracked matches48%Win rate2020Tracked since
4,821Hours in CS7Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating18,430Purple band · top ~14.7% of ranked players (population est.)
FaceitLevel 8 · 1,462 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 18,430 +1,908 19 Jul – 3 Nov · 11 days played
16,52220,314peak 20,31419 Jul3 Nov
20,517Peak Premier in tracked matches
1,462Highest Faceit ELO seen on CSDB
29Days played since 2026-07-09

Faceit ELO

  • At peak — 1,462
  • Next: Level 8 at 1,531 — 69 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier CS Rating

  • 1,884 below peak (20,314)
  • -1,570 over 30 days · declining
  • -1,694 over 90 days
  • Next: Pink band at 20,000 — 1,570 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. 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate55.1%46.8%48.2%above
Shot accuracy9.1%13.0%13.2%4.1% short
Kill/death ratio1.581.061.07above
Match win rate57.0%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThatNinjaFACEITLevel 8 · 1,462 ELOSTANDINGTop 31.2% of rankedPREMIER18,430 · Purple bandPEAK ELO1,462csdb.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

Aim49
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLLWWLTLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −5.0pp headshot accuracy · −1ms 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 14%
  • Avg reaction 528ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

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 (+1.2 against its own average).

Aim4.9
Utility4.9
Positioning5.4
Opening Duels3.1
Clutch3.6

Strong T-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

m0NESY

Plays most like m0NESY 75% 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

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.9
Positioning5.4
Utility4.9
Mechanics3.6
Opening Duels4.2
Win Impact4.4

Composite 4.7/10 (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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time577ms+3ms
first ⅓ avg 575ms → last ⅓ avg 577ms
Headshot accuracy15.6%−3.9%
first ⅓ avg 19.5% → last ⅓ avg 15.6%

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

0.18Best match rating · 13–5 · nuke, 19 Sept →
40%Best headshot accuracy · 4–13 · mirage, 25 Jul →
391msFastest reaction time · 5–13 · nuke, 20 Sept →
13–2Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 58% over 24ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
mirageB189–950%-0.00
cacheA148–657%-0.01
ancientD134–931%-0.01
anubisB84–450%-0.01
infernoC83–538%0.01
nukeC83–538%0.01
boulder—43–175%0.06
debris—10–10%-0.09
shelter—10–10%0.02
fachwerk—10–10%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,730Lifetime kills
1.58K/D · Top 5% of Level 8 players
8,652Matches
57.0%Match win rate · Top 5% of Level 8 players
55.1%Headshot % · Top 25% of Level 8 players
9.1%Shot accuracy
19,438MVPs
2,453Hours (in match)
8,825Bombs planted
2,525Bombs defused

Most-used weapons

AK-4782,123
AWP18,904
MP94,237
FAMAS2,900
MAC-102,885

Lifetime map wins

16,443dust2
6,102inferno
4,650vertigo
3,919nuke
1,685train
579office
377cbble
225lake

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

Faceit stats

Combat

821Matches
49%Win rate
1.10Avg K/D
74.6ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15457%1.1215.3
Dust210349%1.0814.1
Nuke5558%1.2816.6
Anubis5347%1.0713.5
Inferno5143%1.0414.8
Ancient5046%1.1215.6
Cache2741%1.0815.5
Train1984%1.2215.2

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.

15.6%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.8%Spray accuracy
66.4%Counter-strafing
9.2°Preaim
565msReaction time
62.0%T opening success
31.2%CT opening success
0.48Enemies flashed / flash
4.1%Flash assists
8.09HE damage / grenade
7.68Flashes / 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 0.4834 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.1855% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–13-0.0615%5 Nov →
cache13–16-0.0310%3 Nov →
inferno8–13-0.0313%3 Nov →
dust213–100.0117%27 Oct →
dust213–70.0117%26 Oct →
anubis6–13-0.0123%26 Oct →
inferno8–8-0.0216%17 Oct →
dust29–13-0.0411%17 Oct →
mirage13–11-0.0417%16 Oct →
inferno4–100.008%28 Sept →
anubis8–13-0.079%27 Sept →
nuke9–13-0.0320%27 Sept →
dust27–130.0019%20 Sept →
nuke5–13-0.0514%20 Sept →
ancient13–20.0226%20 Sept →
dust213–60.0216%20 Sept →
inferno15–150.0124%20 Sept →
cache13–11-0.0328%20 Sept →
mirage8–13-0.0419%20 Sept →
nuke13–10-0.0220%20 Sept →
anubis3–13-0.138%20 Sept →
cache8–13-0.0213%20 Sept →
cache16–13-0.0216%20 Sept →
ancient13–9-0.055%20 Sept →
nuke13–8-0.057%20 Sept →
cache13–60.0115%20 Sept →
mirage13–80.0517%20 Sept →
dust27–130.0123%19 Sept →
mirage6–13-0.0413%19 Sept →
cache11–13-0.0010%19 Sept →
nuke13–50.1813%19 Sept →
dust213–100.0413%19 Sept →
mirage13–11-0.0222%19 Sept →
mirage16–12-0.0011%19 Sept →
ancient10–13-0.0712%19 Sept →
inferno16–120.0520%19 Sept →
mirage0–13-0.033%19 Sept →
nuke4–130.0321%6 Sept →
cache9–13-0.0121%30 Aug →
ancient6–13-0.0326%30 Aug →
nuke7–13-0.0416%15 Aug →
dust27–130.0416%15 Aug →
dust213–100.068%15 Aug →
ancient8–13-0.0317%15 Aug →
dust213–100.0427%11 Aug →
mirage13–11-0.0515%9 Aug →
mirage6–13-0.0920%7 Aug →
mirage13–40.0424%7 Aug →
dust29–130.0220%2 Aug →
dust213–8-0.029%25 Jul →
cache13–9-0.0318%25 Jul →
ancient11–13-0.087%25 Jul →
mirage4–13-0.0240%25 Jul →
ancient8–13-0.049%23 Jul →
dust213–110.019%23 Jul →
mirage8–13-0.0324%23 Jul →
cache13–8-0.0427%23 Jul →
dust213–10-0.0118%22 Jul →
inferno6–13-0.0215%22 Jul →
mirage10–130.0615%22 Jul →
anubis16–140.0221%22 Jul →
cache7–13-0.0222%22 Jul →
dust213–100.0111%21 Jul →
ancient11–13-0.0324%21 Jul →
inferno13–11-0.0215%21 Jul →
anubis13–110.0117%21 Jul →
cache13–11-0.0219%21 Jul →
mirage13–100.0125%21 Jul →
ancient11–130.0113%21 Jul →
inferno13–70.1026%20 Jul →
mirage14–16-0.0113%20 Jul →
cache8–13-0.0917%20 Jul →
cache13–110.0924%19 Jul →
mirage8–130.0719%19 Jul →
dust213–5-0.0115%19 Jul →
cache13–110.0320%19 Jul →
dust29–13-0.0321%19 Jul →
nuke11–130.0323%19 Jul →
ancient13–40.1019%19 Jul →
anubis13–70.0310%19 Jul →
ancient14–16-0.0215%19 Jul →
dust213–70.1022%19 Jul →
ancient13–100.1314%16 Jul →
dust213–100.1015%15 Jul →
mirage13–50.1211%15 Jul →
debris4–9-0.0931%13 Jul →
boulder3–13-0.0234%13 Jul →
dust27–130.0321%13 Jul →
dust211–13-0.0614%12 Jul →
mirage13–6-0.0116%12 Jul →
dust213–10-0.0128%10 Jul →
dust21–13-0.0226%9 Jul →
shelter5–130.0217%9 Jul →
boulder13–50.0816%9 Jul →
anubis5–130.0922%9 Jul →
fachwerk9–130.0827%9 Jul →
boulder13–90.0320%9 Jul →
boulder13–30.1314%9 Jul →
ancient9–130.0218%9 Jul →
dust22–13-0.0217%9 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.